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    <title>CR Society Archives</title>
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    <pubDate>Thu, 17 May 2012 16:53:51 -0400</pubDate>
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    <category>CR Society Archives</category>
    <generator>Phorum 5.1.25</generator>
    <ttl>60</ttl>
    <item>
      <title>[CRCOMMUNITY] Re: Cadmium in paint</title>
      <link>http://arc.crsociety.org/read.php?3,209754,209754#msg-209754</link>
      <author>Alida T</author>
      <description><![CDATA[Kathy,<br />
Personally, I wouldn't worry much if you are careful handling paint.<br />
Limited skin exposure is much different that breathing dust.  It sounds you<br />
are prudent in handling paint (and pastels) and that you do not get much<br />
exposure to cadmium.<br />
Below is an article about cadmium in flax seed from 2007 crcomm archives.<br />
Perhaps that can be as much or more a concern than paint depending on your<br />
diet.  (I limited flax to no more than 1-2T a day after reading it, but I<br />
think there are a few cadmium free flax seed sources that you can google.)<br />
Who know how much good or bad is hiding in everyday pollutants and foods.<br />
(For instance the selenium content of brazil nuts varies.)<br />
I happen to be an art teacher.  There are warnings on the ceramic clay we<br />
use... to be sure not to breathe the dust as it contains silica.  I still<br />
have the kids sand their pottery before polishing it, though i don't let<br />
them clap their hands together to make a cloud of dust.  I figure our<br />
limited exposure is much less than someone working in an<br />
industrial situation of constant exposure.... similarly, a cigarette or two<br />
won't kill you, not even one or two a month, but one should abstain from<br />
smoking (I never smoke).  I am thankful I live in an area without a lot of<br />
smog, etc.  I often wonder how one can jog on city streets.  I have places<br />
to walk with fresh air.  I'm also thankful that I can afford a healthy diet<br />
and supplements and hope it all balances out in the end.  Alida<br />
<br />
Is cadmium in flaxseeds a risk, generally?  The below paper is pdf-availed.<br />
&quot;cadmium exposure through the diet was six-fold higher than allowed for<br />
humans by World Health Organization&quot;?  In pregnancy, flaxseed abstention<br />
may<br />
be prescribed.<br />
<br />
Khan G, Penttinen P, Cabanes A, Foxworth A, Chezek A, Mastropole K, Yu B,<br />
Smeds A, Halttunen T, Good C, Makela S, Hilakivi-Clarke L.<br />
Maternal flaxseed diet during pregnancy or lactation increases female rat<br />
offspring's susceptibility to carcinogen-induced mammary tumorigenesis.<br />
Reprod Toxicol. 2007 Feb 22; [Epub ahead of print]<br />
PMID: 17398067<br />
Flaxseed contains several dietary components that have been linked to low<br />
breast cancer risk; i.e., n-3 polyunsaturated fatty acids (PUFAs), lignans<br />
and fiber, but it also contains detectable levels of cadmium, a heavy metal<br />
that activates the estrogen receptor (ER).<br />
Since estrogenic exposures early in life modify susceptibility to develop<br />
breast cancer, we wondered whether maternal dietary intake of 5% or 10%<br />
flaxseed during pregnancy or lactation (between postpartum days 5 and 25)<br />
might affect 7,12-dimethylbenz[a]anthracene (DMBA)-induced mammary<br />
tumorigenesis in the rat offspring.<br />
Our data indicated that both in utero and postnatal 5% and 10% flaxseed<br />
exposures shortened mammary tumor latency, and 10% flaxseed exposure<br />
increased tumor multiplicity, compared to the controls. Further, when<br />
assessed in 8-week-old rats, in utero 10% flaxseed exposure increased<br />
lobular ER-alpha protein levels, and both in utero and postnatal flaxseed<br />
exposures dose-dependently reduced ER-beta protein levels in the terminal<br />
end buds (TEBs) lobules and ducts. Exposures to flaxseed did not alter the<br />
number of TEBs or affect cell proliferation within the epithelial<br />
structures. In a separate group of immature rats that were fed 5% defatted<br />
flaxseed diet (flaxseed source different than in the diets fed to pregnant<br />
or lactating rats) for 7 days, cadmium exposure through the diet was<br />
six-fold higher than allowed for humans by World Health Organization, and<br />
cadmium significantly accumulated in the liver and kidneys of the rats.<br />
It remains to be determined whether the increased mammary cancer in rats<br />
exposed to flaxseed through a maternal diet in utero or lactation was caused<br />
by cadmium present in flaxseed, and whether the reduced mammary ER-beta<br />
content was causally linked to increased mammary cancer risk among the<br />
offspring.<br />
_______________________________________________<br />
CRCOMM@lists.calorierestriction.org<br />
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      <category>CRCOMMUNITY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?3,209754,209754#msg-209754</guid>
      <pubDate>Thu, 17 May 2012 16:53:51 -0400</pubDate>
    </item>
    <item>
      <title>[CRCOMMUNITY] 7-Keto?</title>
      <link>http://arc.crsociety.org/read.php?3,209753,209753#msg-209753</link>
      <author>deb belcore</author>
      <description><![CDATA[Apparently, Dr. Oz mentioning this product as effective for belly fat loss on a recent episode has caused a sales explosion. It is a metabolite of DHEA, but that is all I know about it. Anyone ever heard of it or tried it?<br />
_______________________________________________<br />
CRCOMM@lists.calorierestriction.org<br />
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      <category>CRCOMMUNITY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?3,209753,209753#msg-209753</guid>
      <pubDate>Thu, 17 May 2012 16:49:50 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Pathway of dietary fats &amp; sugars to liver</title>
      <link>http://arc.crsociety.org/read.php?2,209752,209752#msg-209752</link>
      <author>Watson, Alastair</author>
      <description><![CDATA[Just an anatomical note to clarify what may be providing some ambiguity.<br />
<br />
Dietary fats are usually absorbed from the intestines into the abdominal lymphatic vessels, which eventually drain their lymph into one of the large veins near the heart, and so these returning body fluids (dietary fats) re-enter the blood circulatory system by which they will eventually reach the liver (via the hepatic artery).<br />
<br />
Dietary carbohydrates (including &quot;sugars&quot;), proteins/amino-acids and other nutrients are absorbed from the stomach and intestines into small veins, which specifically enter the liver via the hepatic portal vein (there is no portal artery here). Thus any fructose (be it in HFCS additive, or directly derived from foods like fruits etc.) is directly delivered to the liver on the blood's first pass.  Previous posts have outlined the dangers of dietary &quot;high&quot; doses of fructose being delivered to the liver, which is its primary organ for its metabolism ... and consequent cascading affects on insulin (resistance), fat metabolism, and so on.<br />
<br />
{Sourced from primary Gastro-Intestinal/CardioVascular Anatomy and Physiology: a full reading of Guyton or others will reveal these fundamental details.}<br />
<br />
Alastair <br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209752,209752#msg-209752</guid>
      <pubDate>Thu, 17 May 2012 14:29:55 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Array-based expression analysis of mouse liver genes: effect of age and of the longevity mutant Prop1df</title>
      <link>http://arc.crsociety.org/read.php?2,209751,209751#msg-209751</link>
      <author>Al Pater</author>
      <description><![CDATA[The below paper is pdf-availed.<br />
<br />
Array-based expression analysis of mouse liver genes: effect of age and of <br />
the longevity mutant Prop1df.<br />
Dozmorov I, Bartke A, Miller RA.<br />
J Gerontol A Biol Sci Med Sci. 2001 Feb;56(2):B72-80.<br />
PMID: 11213270<br />
<br />
Abstract<br />
<br />
Ames dwarf mice, homozygous for the df allele at the Prop1 locus, live 40% <br />
to 70% longer than nonmutant siblings and represent the first single-gene <br />
mutant that extends life span in a mammal.<br />
<br />
To gain insight into the basis for the longevity of the Ames dwarf mouse,<br />
<br />
we measured liver mRNA levels for 265 genes in a group of 11 df/df mice, <br />
(three to four mice per age group), at ages 5, 13, and 22 months, and in 13 <br />
age- and sex-matched control mice.<br />
<br />
The analysis showed seven genes where the effects of age reach p &lt; .01 in <br />
normal mice and six others with possible age effects in dwarf mice, but none <br />
of these met Bonferroni-adjusted significance thresholds. Thirteen genes <br />
showed possible effects of the df/df genotype at p &lt; .01. One of these, <br />
insulin-like growth factor 1 (IGF-1), was statistically significant even <br />
after adjustment for multiple comparisons; and genes for two IGF-binding <br />
proteins, a cyclin, a heat shock protein, p38 mitogen-activated protein <br />
kinase, and an inducible cytochrome P450 were among those implicated by the <br />
survey. In young control mice, half of the expressed genes showed SDs that <br />
were more than 58% of the mean, and a simulation study showed that genes <br />
with this degree of interanimal variation would often produce false-positive <br />
findings when conclusions were based on ratio calculations alone (i.e., <br />
without formal significance testing). Many genes in our data set showed <br />
apparent young-to-old or normal-to-dwarf ratios above 2, but the large <br />
majority of these proved to be genes where high interanimal variation could <br />
create high ratios by chance alone, and only a few of the genes with large <br />
ratios achieved p &lt; .05. The proportion of genes showing relatively large <br />
changes between 5 and 13 months, or from 13 to 22 months of age, was not <br />
diminished by the df/df genotype, providing no support for the idea that the <br />
dwarf mutation leads to global delay or deceleration of the pace of <br />
age-dependent changes in gene expression.<br />
<br />
These survey data provide the foundation for replication studies that should <br />
provide convincing proof for age- and genotype-specific effects on gene <br />
expression and thus reveal key similarities among the growing number of <br />
mouse models of decelerated aging.<br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209751,209751#msg-209751</guid>
      <pubDate>Thu, 17 May 2012 14:18:19 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Increasing requests for vitamin D measurement: costly, confusing, and without credibility</title>
      <link>http://arc.crsociety.org/read.php?2,208721,209750#msg-209750</link>
      <author>Al Pater</author>
      <description><![CDATA[The below paper was originally described in full, but, for this context, may <br />
be worth presenting for direct comparison regarding the comments next below <br />
on the paper.<br />
<br />
<br />
Comments on:<br />
<br />
Lancet. 2012 Jan 14;379(9811):95-6.<br />
Increasing requests for vitamin D measurement: costly, confusing, and <br />
without credibility.<br />
Sattar N, Welsh P, Panarelli M, Forouhi NG.<br />
PMID:22243814<br />
http://arc.crsociety.org/read.php?2,208721,208721#msg-208721<br />
<br />
The below paper is pdf-availed.<br />
<br />
<br />
Increasing requests for vitamin D measurement: costly, confusing, and<br />
without credibility<br />
The Lancet Volume 379, Issue 9811, 14-20 January 2012, Pages 95-96<br />
Naveed Sattar, Paul Welsh, Maurizio Panarelli, Nita G Forouhi<br />
<br />
“Sunbathing boosts men's sex drives” proclaimed newspaper reports. [1] and <br />
[2] This headline was extrapolated from a cross-sectional study showing that <br />
serum 25-hydroxyvitamin D (25OHD) concentrations -- a biochemical measure of <br />
vitamin D status -- correlate to circulating testosterone concentrations in <br />
men referred for angiography, but neither sun exposure nor sex drive was <br />
directly assessed.3 This anecdote epitomises what has become a bandwagon of <br />
vitamin-D-related epidemiological research fuelling easily accessible <br />
headlines in lay media. Such frequent and prominent headlines have cast <br />
vitamin D in the role of a putative miracle cure that can prevent and treat <br />
a burgeoning list of chronic disorders such as cardiovascular disease, <br />
diabetes, and cancer.<br />
<br />
This media coverage has caused a massive rise in demand for measurement of <br />
blood concentrations of 25OHD from the public and physicians. Glasgow Royal <br />
Infirmary -- the main provider of 25OHD tests in Scotland -- has seen a rise <br />
in vitamin D test requests from 18,682 in 2008, to 37,830 in 2010, which has <br />
resulted in a longstanding backlog of 2000 tests. Similarly, a hospital in <br />
London, UK, had a sixfold increase in 25OHD test requests over 4 years, <br />
rising from 7537 tests in 2007, to nearly 46,000 in 2010 (personal <br />
communication). Similar trends have been noted in other countries -- eg, <br />
Canada and the USA. [4] and [5] To match demand, manufacturers (eg, Abbott, <br />
Roche, and Siemens) are developing immunoassays (similar to liquid <br />
chromatography tandem mass spectrometry gold standard) for clinical use, and <br />
promoting them widely in North America, Europe, and elsewhere. A 25OHD test <br />
costs the UK National Health Service around pounds20. The economic burden of <br />
widespread routine vitamin D testing in the UK and elsewhere is therefore <br />
substantial.<br />
<br />
But is this skyrocketing of 25OHD test requests and related costs justified? <br />
The prevalence of apparent vitamin D inadequacy is high in the UK. [6] and <br />
[7] For example, roughly 50% of 45-year-old UK adults (1958 British birth <br />
cohort) were vitamin D insufficient during winter months, with the greatest <br />
inadequacy recorded in Scotland (average concentration 35 nmol/L).7 A <br />
patient in the UK attending a general practitioner in winter is therefore <br />
likely to be vitamin D insufficient (serum concentrations &lt;50 nmol/L) or <br />
deficient (serum concentrations &lt;25 nmol/L). But how should general <br />
practitioners interpret such test results? The key question is: does knowing <br />
the result usefully improve clinical practice and patient wellbeing?<br />
<br />
To address this issue, whether vitamin D inadequacy has a predisposing <br />
relation with health consequences that could be avoided by intervention (eg, <br />
supplementation, diet, or sun exposure) needs to be established. Most <br />
evidence promoting a role for vitamin D in chronic disease has been <br />
extrapolated from epidemiological studies, but these results are often <br />
limited by factors such as potential reverse causality and residual <br />
confounding -- particularly relevant limitations for vitamin D as a <br />
biomarker of health (table). Therefore, any conclusions about causality <br />
extrapolated from observational data are premature.10<br />
<br />
Table. Potential limitations in making causal inferences from observational <br />
epidemiology for vitamin D<br />
----------------------------------------------------------<br />
Limitation Why important for vitamin D? Examples<br />
----------------------------------------------------------<br />
Confounding and residual confounding Many risk factors are related to both <br />
low 25OHD and poor health outcomes; statistical models might be incomplete <br />
if such factors are not measured, or measured imprecisely Little physical <br />
activity (outdoor activity often related to sunlight exposure); low <br />
socioeconomic status; obesity; smoking; season<br />
----------------------------------------------------------<br />
Reverse causality Sunlight exposure is a major determinant of <br />
circulating-25OHD concentrations; pain or illness can limit sunlight <br />
exposure through inactivity, and thus disease could cause inadequacy rather <br />
than the reverse Clinical diagnosis of many disorders (eg, multiple <br />
sclerosis) can be preceded by a period of preclinical disease when little <br />
time is spent outdoors; acute infl ammation can drive down circulating 25OHD <br />
concentrations so that in acute illnesses or many hospitalised patients, low <br />
measurements are secondary to an acute-phase response<br />
----------------------------------------------------------<br />
Publication and citation bias Null or negative findings are less likely to <br />
be published, especially when overwhelming perception is of a positive <br />
association; thus, investigators are less likely to pursue publication or <br />
persist after manuscript rejection than if results were positive; null <br />
findings that are published are not frequently cited and result in little <br />
media interest, and therefore perception of the weight of evidence can be <br />
heavily skewed Marniemi and colleagues’ 2005 report8 of no association of <br />
25OHD with 130 cases of myocardial infarction in elderly people has been <br />
cited 33* times in Web of Science; by contrast, Wang and co-workers’ 2008 <br />
article9 reporting 25OHD inadequacy associated with 120 cases of <br />
cardiovascular disease in Framingham off spring has been cited 409* times<br />
----------------------------------------------------------<br />
25OHD=serum 25-hydroxyvitamin D. *As of Nov 28, 2011.<br />
<br />
The only reliable tests of causality are randomised trials. The <br />
effectiveness of vitamin D supplementation in rickets and osteomalacia has <br />
been proven. Vitamin D supplementation in appropriate doses with concomitant <br />
calcium supplements might reduce the risk of fractures in elderly people at <br />
risk of osteoporosis.11 However, the need to measure circulating vitamin D <br />
in people with osteoporosis (diagnosed on the basis of dual energy x-ray <br />
imaging scans) is questionable because treatment is likely to include <br />
vitamin D supplements irrespective of the result. Meanwhile, convincing <br />
evidence that vitamin D supplements reduce the risk of cardiovascular <br />
disease or diabetes, or lower glucose concentrations in patients with <br />
diabetes, does not exist.12 Proponents argue that longer trials with higher <br />
doses of vitamin D than have been tested heretofore are needed, and we <br />
agree. However, until the investigators of such trials report their results, <br />
we must remain cautious about the recommendation of widespread <br />
supplementation for chronic disease prevention. The reports13 of increased <br />
rates of infantile hypercalcaemia in the UK in the 1950s after <br />
overenthusiastic food fortification with vitamin D show the importance of <br />
caution -- a point re-emphasised in 2011.14<br />
<br />
In short, widespread testing of asymptomatic people's vitamin D status is <br />
unhelpful. Economic constrictions are a concern for health-care providers <br />
worldwide. Until the results of large randomised trials are reported, we <br />
urge all clinicians to stop and think critically before measuring 25OHD, <br />
particularly in conditions not linked to bone disease. Such practice will <br />
avoid many unnecessary tests, reduce laboratory backlog, and save a lot of <br />
health-service time and money without affecting patients' health.<br />
<br />
<br />
Comment in<br />
Lancet. 2012 May 5;379(9827):1699; author reply 1700-1.<br />
Lancet. 2012 May 5;379(9827):1699; author reply 1700-1.<br />
Lancet. 2012 May 5;379(9827):1699-700; author reply 1700-1.<br />
Lancet. 2012 May 5;379(9827):1700; author reply 1700-1.<br />
<br />
<br />
Vitamin D testing.<br />
Grey A, Bolland M, Davidson J.<br />
Lancet. 2012 May 5;379(9827):1699; author reply 1700-1. No abstract <br />
available.<br />
PMID:22559889<br />
<br />
Naveed Sattar and colleagues (Jan 14, p 95)1 appeal to clinicians to adopt <br />
an evidence-based approach to vitamin D testing to conserve financial and <br />
laboratory resources. In Auckland, New Zealand, annual requests for vitamin <br />
D measurement quadrupled between 2000 (8500) and 2010 (32?800).2 In 2010, <br />
61% of test requests were generated by 9% of requesting practitioners.2 Only <br />
15% of tests identified a serum 25-hydroxyvitamin D concentration less than <br />
25 nmol/L.3<br />
<br />
The progressive increase in test requests continued despite the addition to <br />
the laboratory report form of information on the cost of the assay and <br />
advice on a rational approach to testing. In 2011, in the face of a total <br />
annual laboratory cost of about NZ$1 million for vitamin D testing alone, a <br />
decision was made to restrict direct access to the test to a limited range <br />
of clinicians or for the investigation of metabolic bone disease or <br />
hypocalcaemia. The restriction was applied in October, 2011, resulting in a <br />
rapid and substantial reduction in tests done (table).<br />
<br />
Table. Vitamin D tests done in Auckland, New Zealand in 2011, by month<br />
-------------------------<br />
Month Number of tests done<br />
-------------------------<br />
July 2670<br />
August 2200<br />
September 2363<br />
October 884<br />
November 563<br />
December 592<br />
-------------------------<br />
   Restrictions on testing were implemented in October.<br />
<br />
Evidence-based appeals, although laudable, might be insufficient to change <br />
expensive and unnecessary laboratory test-requesting practices.<br />
<br />
<br />
Vitamin D testing.<br />
Caillet P, Schott AM.<br />
Lancet. 2012 May 5;379(9827):1699; author reply 1700-1. No abstract <br />
available.<br />
PMID:22559887<br />
<br />
Naveed Sattar and colleagues1 urge clinicians to stop and think critically <br />
before measuring 25-hydroxyvitamin D concentrations, mainly because of the <br />
lack of evidence from randomised clinical trials. There is another reason to <br />
do so: measurement of concentrations of circulating 25-hydroxyvitamin D <br />
routinely and accurately is still a challenge.<br />
<br />
Numerous commercial assays are available, and important inconsistencies in <br />
performance have been reported owing to several different causes (eg, <br />
occasional changes of antibody, or the reformulation of reagents).2 <br />
Inconsistencies were so important that, after assessment of long-term data <br />
from the US National Health and Nutrition Examination Survey (NHANES), and <br />
the observation of normative data shifts between surveys, the NHANES <br />
laboratory developed and validated an in-house liquid chromatography-tandem <br />
mass spectrometry (LC-MS/MS) method to replace the commercial immunoassay <br />
that was found to have given inconsistent results.3<br />
<br />
In routine clinical care, where multiple laboratories are involved, these <br />
inconsistencies are expected to be even more important and to lead <br />
clinicians to irrelevant decisions. Snellman and colleagues4 measured serum <br />
samples from 204 patients in three different laboratories by use of <br />
different methods. The proportion of patients identified as vitamin D <br />
insufficient (&lt;50 nmol/L) varied from 8% to 43%. An external proficiency <br />
programme (Vitamin D External Quality Assessment Scheme [DEQAS]5) has been <br />
developed internationally.<br />
<br />
Until a better standardisation is achieved in routine practice, we urge <br />
clinicians not only to stop and think critically before ordering a <br />
25-hydroxyvitamin D test, but also to give special attention to the choice <br />
of a DEQAS-accredited laboratory that uses the most accurate method <br />
(LC-MS/MS) when possible.<br />
<br />
<br />
Vitamin D testing.<br />
Pattman S, Quinton R, Pearce S, Datta H.<br />
Lancet. 2012 May 5;379(9827):1699-700; author reply 1700-1. No abstract <br />
available.<br />
PMID:22559888<br />
<br />
Naveed Sattar and colleagues1 highlight the rising number of requests for <br />
serum 25-hydroxyvitamin D measurement, but provide no evidence to support <br />
their contention that much of the volume of requests arises from <br />
asymptomatic patients and that the assays are therefore unhelpful.<br />
<br />
We too noted a similar local increase (about 400%) in requests from primary <br />
care between the last quarter of 2009 and the same period in 2010. But the <br />
clinical reasons for request given, including fatigue, myopathy, low-trauma <br />
fractures, and raised alkaline phosphatase concentration, are generally <br />
appropriate. Indeed it would be unwise, and expensive, to diagnose and treat <br />
empirically disorders such as fibromyalgia, polymyalgia rheumatica, or <br />
chronic fatigue syndrome without knowledge of a patient's vitamin D status.<br />
<br />
Sattar and colleagues also question the need to measure 25-hydroxyvitamin D <br />
in patients with osteoporosis, contending that medication with tablets <br />
containing calcium and vitamin D will cover all eventualities. However, the <br />
UK's National Institute for Health and Clinical Excellence sensibly <br />
recommends vitamin D supplementation only for patients who are not already <br />
vitamin D replete.2 Further, dual-energy X-ray absorptiometry cannot <br />
distinguish low bone density resulting from osteoporosis from that of <br />
osteomalacia, so failure to request 25-hydroxyvitamin D measurement will <br />
necessarily lead to inappropriate treatments. Recent guidance highlights the <br />
inadequacy of commonly used calcium and vitamin D products that contain just <br />
400 IU of the vitamin for treating patients with profoundly low <br />
concentrations of 25-hydroxyvitamin D in serum. Such patients require higher <br />
pharmacological doses. [3] and [4]<br />
<br />
Although the current situation is far from ideal, we feel that Sattar and <br />
colleagues overlook several situations in which quantification of <br />
25-hydroxyvitamin D is important, and cast unwarranted aspersions on the <br />
ability of primary-care physicians to make clinically based requests in this <br />
area.<br />
<br />
<br />
Vitamin D testing.<br />
Peiris AN, Bailey BA, Grant WB, Mascitelli L.<br />
Lancet. 2012 May 5;379(9827):1700; author reply 1700-1. No abstract <br />
available.<br />
PMID:22559891<br />
<br />
Naveed Sattar and colleagues1 highlight increasing requests for vitamin D <br />
measurement and the associated costs. The need to contain health-care costs <br />
is universal, especially in western countries where they are increasing at <br />
an unsustainable rate. We agree that vitamin D deficiency is prolific <br />
worldwide. However, we have major areas of disagreement regarding testing <br />
and monitoring of vitamin D.<br />
<br />
There are many correlates with serum 25-hydroxyvitamin D concentrations, but <br />
studies that used common laboratory tests and included latitude and <br />
seasonality were unable to predict vitamin D deficiency, suggesting that <br />
there is no substitute for 25-hydroxyvitamin D testing.2 We too have noticed <br />
a marked increase in testing for vitamin D status in recent years. However, <br />
in a study of six Veterans Medical Centers in the southeastern USA, the <br />
lowest overall medical costs were in the medical centres that did follow-up <br />
vitamin D testing.3 In particular, across all sites, vitamin D deficiency <br />
combined with lack of monitoring predicted increased inpatient health-care <br />
costs.3<br />
<br />
One option to reduce the costs of vitamin D testing would be to supplement <br />
the general population with 1000-2000 IU vitamin D3, as recommended by the <br />
Endocrine Society.4 Indeed, such an approach has been postulated to result <br />
in a substantial reduction in global health-care costs.5 The greatest <br />
benefits accrue to those with serum 25-hydroxyvitamin D concentrations below <br />
50 nmol/L; optimum concentrations should be at least 75-100 nmol/L. [4] and <br />
[5]<br />
<br />
WBG receives funding from the UV Foundation (McLean, VA, USA), Bio-Tech <br />
Pharmacal (Fayetteville, AR, USA), the Vitamin D Council (San Luis Obispo, <br />
CA, USA), and the Vitamin D Society (Canada). The other authors declare that <br />
they have no conflicts of interest.<br />
<br />
<br />
Vitamin D testing - Authors' reply<br />
Naveed Sattar, Paul Welsh, Maurizio Panarelli, Nita G Forouhi<br />
Lancet. 2012 May 5;379(9827):1699; author reply 1700-1. No abstract <br />
available.<br />
<br />
Naveed Sattar, Paul Welsh, Maurizio Panarelli, Nita G Forouhi<br />
<br />
We welcome further debate on the issue of vitamin D testing, and, given the <br />
range of responses received, there is clearly a need for it. Andrew Grey and <br />
colleagues provide interesting data to suggest that vitamin D requests are <br />
dominated by a relatively small proportion of clinicians. Our hospital <br />
biochemistry department in Glasgow, UK, recently applied selected <br />
restrictions on requests for 25-hydroxyvitamin D testing and is seeing <br />
similar efficiencies. Thus we agree that, if the evidence base is ignored, <br />
direct measures to limit health-care expenditure on inappropriate vitamin D <br />
tests are warranted.<br />
<br />
We agree with Pascal Caillet and Anne-Marie Schott that non-standardised <br />
assays are a barrier to the incorporation of accurate and reliable <br />
25-hydroxyvitamin D testing and that misclassification remains a challenge. <br />
That noted, whether even robust measurement of the 25-hydroxyvitamin D <br />
metabolite in serum accurately reflects whole-body vitamin D status in all <br />
individuals remains uncertain.<br />
<br />
Stewart Pattman and colleagues suggest that fibromyalgia and chronic fatigue <br />
are appropriate conditions to request vitamin D measures. We cannot identify <br />
convincing evidence to support this assertion, and there is no evidence from <br />
large placebo-controlled randomised trials:1 replete vitamin D status does <br />
not exclude these disorders, and there is no robust evidence that vitamin D <br />
supplementation improves symptoms. Further, people with fatigue and pain <br />
will probably spend less time outdoors, which leads to lower <br />
25-hydroxyvitamin D (ie, reverse causality).<br />
<br />
We agree that diagnosis of osteomalacia requires biochemical testing that <br />
could include 25-hydroxyvitamin D. We do not, however, believe that an <br />
increasing incidence of osteomalacia accounts for the increasing vitamin D <br />
requests. The National Institute for Health and Clinical Excellence <br />
guidelines for the secondary prevention of osteoporotic fragility fractures <br />
in postmenopausal women state that “vitamin D supplementation should be <br />
provided unless clinicians are confident that women who receive treatment <br />
for osteoporosis…are vitamin D replete”.2 Given that a significant majority <br />
of elderly women, particularly in northern latitudes, and particularly <br />
through the winter months, are likely to have insufficient 25-hydroxyvitamin <br />
D, the benefit of widespread testing is unclear, especially if supplements <br />
are to be prescribed irrespective of the result.<br />
<br />
Our comments were intended as general guidance and clinical decisions are <br />
best made on a case-specific basis with specialist input as appropriate. <br />
Furthermore, we respectfully suggest that asking clinicians to think through <br />
critically whether vitamin D testing is appropriate, particularly among <br />
asymptomatic people and particularly in conditions not linked to bone <br />
disease, is not to cast “unwarranted aspersions”.<br />
<br />
Alan Peiris and colleagues suggest that latitude and seasonality cannot <br />
predict vitamin D deficiency, citing data from an observational study of <br />
individuals who attended a vitamin D seminar and took supplements. Latitude <br />
and season are not investigated in that paper.3 Peiris and colleagues <br />
suggest that widespread supplementation programmes could proceed without <br />
further evidence or trials of efficacy or safety. The Institute of Medicine <br />
does not seem to concur with this view.4 We therefore reiterate the need to <br />
resist making causal inferences on the basis of observational evidence, <br />
which Peiris and colleagues seem to advocate.5<br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,208721,209750#msg-209750</guid>
      <pubDate>Thu, 17 May 2012 13:57:39 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Fwd: Am I hypertensive? Reduce or eliminate Lasix?</title>
      <link>http://arc.crsociety.org/read.php?2,209745,209749#msg-209749</link>
      <author>Saul Lubkin</author>
      <description><![CDATA[On Thu, May 17, 2012 at 11:27 AM, jwwright &lt;jwwright@eastex.net&gt; wrote:<br />
<br />
&gt;<br />
&gt; ----- Original Message ----- From: &quot;Saul Lubkin&quot; &lt;saul.lubkin@gmail.com&gt;<br />
&gt; To: &quot;The CR Society Main Discussion List&quot; &lt;CR@lists.calorierestriction.**<br />
&gt; org &lt;CR@lists.calorierestriction.org&gt;&gt;<br />
&gt; Cc: &quot;Luigi Fontana&quot; &lt;LFontana@DOM.wustl.edu&gt;; &quot;Paul McGlothin&quot; &lt;<br />
&gt; paul.mcglothin@gmail.com&gt;<br />
&gt; Sent: Thursday, May 17, 2012 7:57 AM<br />
&gt; Subject: [CR] Fwd: Am I hypertensive? Reduce or eliminate Lasix?<br />
&gt;<br />
&gt;<br />
&gt;<br />
&gt;  Dear ALL,<br />
&gt;&gt;<br />
&gt;&gt; I'd like to share an email message that I just<br />
&gt;&gt; sent to my nephrologist, who has been monitoring my BP for the last<br />
&gt;&gt; several<br />
&gt;&gt; years.<br />
&gt;&gt;<br />
&gt;&gt; It's a bit (almost) shocking to me -- I should note that, when Luigi<br />
&gt;&gt; tested me at WUSTL, he diagnosed &quot;marginal hypertension -- but I was<br />
&gt;&gt; taking<br />
&gt;&gt; Benicar, 40 mg twice per day, at the time<br />
&gt;&gt; [which is twice the recommended maximum daily allowance]<br />
&gt;&gt;<br />
&gt;&gt;<br />
&gt;&gt; ---------- Forwarded message ----------<br />
&gt;&gt; From: Saul Lubkin &lt;lubkin@math.rochester.edu&gt;<br />
&gt;&gt; Date: Thu, May 17, 2012 at 9:51 AM<br />
&gt;&gt; Subject: RE: Am I hypertensive? Reduce or eliminate Lasix?<br />
&gt;&gt; To: Jeremy Taylor &lt;jeremy_taylor@urmc.rochester.**edu&lt;jeremy_taylor@urmc.rochester.edu&gt;<br />
&gt;&gt; &gt;<br />
&gt;&gt;<br />
&gt;&gt;<br />
&gt;&gt; Hello again, Dr. Taylor!<br />
&gt;&gt;<br />
&gt;&gt; With 40mg of Lasix, twice per day (and no Benicar), BP continues to be<br />
&gt;&gt; very<br />
&gt;&gt; low -- typically systolic is in the 90's.<br />
&gt;&gt;<br />
&gt;&gt; My growing suspicion:<br />
&gt;&gt;<br />
&gt;&gt; I am not hypertensive.<br />
&gt;&gt;<br />
&gt;&gt; I (had been) taking Benicar, 40mg, twice per day (which is double the<br />
&gt;&gt; maximum recommended amount); perhaps I have a bad reaction (maybe allergy)<br />
&gt;&gt; to Benicar?<br />
&gt;&gt;<br />
&gt;&gt; Or, perhaps I have suffered from extreme doctor's office syndrome for<br />
&gt;&gt; years?  (I doubt that this could be a MAJOR factor -- a contributing<br />
&gt;&gt; factor, probably).<br />
&gt;&gt;<br />
&gt;&gt; Other possibility:  My diet has changed somewhat recently:  I am now<br />
&gt;&gt; restricting protein more avidly than before. (Typical day:  Protein<br />
&gt;&gt; deduced from about 3/4 cup of white beans, or else from 1.5 ounces of<br />
&gt;&gt; sashimi [1 oz salmon, 1/2 oz yellowtail.  Plus, lots of raw low cal<br />
&gt;&gt; veggies).<br />
&gt;&gt;<br />
&gt;&gt; My question:  Should I reduce Lasix to 20mg, twice per day, or drop it<br />
&gt;&gt; entirely?<br />
&gt;&gt;<br />
&gt;&gt; :-)<br />
&gt;&gt;<br />
&gt;&gt; -- Saul<br />
&gt;&gt;<br />
&gt;<br />
&gt;<br />
&gt; Thanks, Saul,<br />
&gt; The part I love about your post is that I have HTN, and your are<br />
&gt; significantly lower in weight.<br />
&gt; As I have said before, I ran a test in myself losing 60 # and my BP never<br />
&gt; went down to the point I could drop the verapamil.<br />
&gt; I think you do have &quot;true&quot; HTN, which is idiopathic, but recognize we can<br />
&gt; think it's caused by an adrenal adenoma.<br />
&gt; Not to worry, because it's far to hard to treat anyway.<br />
&gt;<br />
&gt; Take whatever works.<br />
&gt; There are many medications and literally, we/they cut and try.<br />
&gt;<br />
&gt; I've a friend who runs, can't be more that 125# soaking wet, and developed<br />
&gt; HTN during training. At 35 yo.<br />
&gt; Uses diovan.<br />
&gt; I use verapamil because it's the only thing that works for me.<br />
&gt;<br />
&gt; Yes, the diastolic seems the be the biggest problem.<br />
&gt; I've never found any logic that tells me why, except excess fatty foods<br />
&gt; raises it.<br />
&gt;<br />
&gt; IMO, it's a good thing to wean off any HTN drug while you add or change<br />
&gt; meds.<br />
&gt; FWIW, I think a higher diastolic raising BP but keeping pulse pressure<br />
&gt; lower is better.<br />
&gt; (pulse pressure is the difference between Sys and Dia.)<br />
&gt;<br />
&gt; Would try reducing it first and if remains low then stopping completely.  I suspect your dietary changes have something to do with this.<br />
&gt;<br />
&gt;<br />
&gt; Jeremy Taylor MD<br />
&gt; University of Rochester<br />
&gt; Division of Nephrology<br />
&gt; Clinical Director<br />
&gt; 601 Elmwood Ave<br />
&gt; Rochester NY, 14642<br />
&gt;<br />
&gt; So, today I switch to 20mg Lasix, twice per day; and, if all continues<br />
&gt; well (systolic in numbers like 90), will drop this last remaining<br />
&gt; hypertensive.<br />
&gt;<br />
<br />
Intersting opinion by Dr. Taylor:  Maybe lower protein (just 1.5 oz<br />
sashime, or 1/2-3/4 cup white beans, daily, plus raw veggies) did the tirck.<br />
<br />
Fascinating.<br />
<br />
  -- Saul<br />
<br />
&gt; Regards<br />
&gt;<br />
&gt; Hi JW!<br />
&gt;<br />
<br />
No, what you are describing doesn't fit me at all.  Diastolic has always<br />
been fine, and also heartrate; systolic was the problem.<br />
<br />
My highly educated, CR-friendly nephrologist just responded:<br />
<br />
<br />
<br />
<br />
<br />
&gt;<br />
&gt;<br />
&gt;<br />
&gt;<br />
&gt;<br />
&gt; ______________________________**_________________<br />
&gt; The CR Society List Rules require that list users respect the U.S.<br />
&gt; copyright law and regulations.<br />
&gt;<br />
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&gt; http://lists.**calorierestriction.org/**mailman/listinfo/cr_lists.**<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209745,209749#msg-209749</guid>
      <pubDate>Thu, 17 May 2012 12:59:31 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Protein and Cortisol levels?</title>
      <link>http://arc.crsociety.org/read.php?2,209716,209748#msg-209748</link>
      <author>Richard Schulman</author>
      <description><![CDATA[Tanya Daykin writes:<br />
<br />
&gt;Hi All :) My apologies for making a personal request :)<br />
&gt;Just got back my blood results investigating my peripheral oedema and the endo's opinion is that low protein is the cause [Total Protein 49g/l (ref 68-85)<br />
<br />
Your protein is pretty far out of the reference range. I'd suggest you<br />
signifcantly up your daily protein intake and retest in a few weeks.<br />
<br />
I assume you're using software and a gram-weight scale to monitor your<br />
daily food intake. If not, please do.<br />
<br />
I can't answer your questions about the other out-of-range results,<br />
but some, perhaps most, of these adverse results might disappear once<br />
you get back consistently within the lower end of the protein<br />
reference range.<br />
<br />
&gt;Finally, while I am annoying you all, has anyone tried protein and vegie alternation? It was just a thought that occurred to me as I truly don't think I can eat any more than I do already. If anyone has/is having their Protein on alternate days to their vegies I would love to hear how that is working for you before I commit (obviously I suspect protein absorption over not ramming enough down my throat) :)<br />
<br />
Having protein on alternate days sounds like a really bad idea to me,<br />
*especially* for you, given your test results. The amino acids in<br />
protein get recycled pretty quickly rather than stored. You need them<br />
for tissue maintenance. Human alternate day fasting hasn't a<br />
well-researched track record behind it to date, and as far as I know,<br />
there's zero research on alternate day protein denial. Why go there?<br />
<br />
RS<br />
<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209716,209748#msg-209748</guid>
      <pubDate>Thu, 17 May 2012 12:18:19 -0400</pubDate>
    </item>
    <item>
      <title>[CRCOMMUNITY] Anti-proliferative activity and chemoprotective effects towards DNA oxidative damage of fresh and cooked Brassicaceae</title>
      <link>http://arc.crsociety.org/read.php?3,209747,209747#msg-209747</link>
      <author>Al Pater</author>
      <description><![CDATA[The below paper is pdf-availed.<br />
<br />
<br />
http://ehjcimaging.oxfordjournals.org/content/9/2/261/T1.expansion.html<br />
<br />
http://ehjcimaging.oxfordjournals.org/content/9/2/261.full<br />
<br />
Anti-proliferative activity and chemoprotective effects towards DNA <br />
oxidative damage of fresh and cooked Brassicaceae.<br />
Ferrarini L, Pellegrini N, Mazzeo T, Miglio C, Galati S, Milano F, Rossi C, <br />
Buschini A.<br />
Br J Nutr. 2011 Nov 17:1-9. [Epub ahead of print]<br />
PMID:22088277<br />
<br />
Abstract<br />
<br />
Epidemiological evidence shows that regular consumption of Brassicaceae is <br />
associated with a reduced risk of cancer and heart disease. Cruciferous <br />
species are usually processed before eating and the real impact of cooking <br />
practices on their bioactive properties is not fully understood.<br />
<br />
We have evaluated the effect of common cooking practices (boiling, <br />
microwaving, and steaming) on the biological activities of broccoli, <br />
cauliflower and Brussels sprouts.<br />
<br />
Anti-proliferative and chemoprotective effects towards DNA oxidative damage <br />
of fresh and cooked vegetable extracts were evaluated by <br />
3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium <br />
and Comet assays on HT-29 human colon carcinoma cells.<br />
<br />
The fresh vegetable extracts showed the highest anti-proliferative and <br />
antioxidant activities on HT-29 cells (broccoli&gt;cauliflower = Brussels <br />
sprouts). No genotoxic activity was detected in any of the samples tested. <br />
The cooking methods that were applied influenced the anti-proliferative <br />
activity of Brassica extracts but did not alter considerably the antioxidant <br />
activity presented by the raw vegetables. Raw, microwaved, boiled (except <br />
broccoli) and steamed vegetable extracts, at different concentrations, <br />
presented a protective antioxidative action comparable with vitamin C (1 <br />
mm).<br />
<br />
These data provide new insight into the influence of domestic treatment on <br />
the quality of food, which could support the recent epidemiological studies <br />
suggesting that consumption of cruciferous vegetables, mainly cooked, may be <br />
related to a reduced risk of developing cancer.<br />
<br />
Key Words: Brassica vegetables; Cooking methods; Chemoprevention; Comet <br />
assay<br />
<br />
Abbreviations: DMEM, Dulbecco's modified Eagle's medium; g eq ww/ml, <br />
equivalent of wet weight g/ml; LED, lowest effective dose; MTS, <br />
3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium; <br />
TI, tail intensity<br />
<br />
Epidemiological studies have shown that regular consumption of Brassica <br />
vegetables is associated with a reduced risk of some chronic diseases; in <br />
particular, gastric or lung cancers and CVD(1,2). Brassica vegetables <br />
contain a wide range of natural chemopreventive agents, such as folate, <br />
fibre, vitamin C, tocopherols, polyphenols, carotenoids and <br />
chlorophylls(3-6). Furthermore, cruciferous vegetables are a rich source of <br />
glucosinolates, sulphur-containing compounds, whose hydrolysis results in <br />
the formation of biologically active compounds, including indoles and <br />
isothiocyanates(7-9). All these molecules can retard the development and <br />
progression of precancerous cells into malignant cells(10) acting through <br />
different mechanisms and in different compartments, but they are thought to <br />
be mainly free radical scavengers(11).<br />
<br />
It is known that cooking induces significant changes in chemical <br />
composition, influencing the concentration and availability of bioactive <br />
compounds in vegetables. Both positive and negative effects have been <br />
reported depending upon the differences in process conditions and <br />
morphological and nutritional characteristics of the vegetable <br />
species(6,12-16). The cooking of vegetables can decrease water-soluble and <br />
heat-sensitive nutrients, such as vitamin C, but also can lead to disruption <br />
of the food matrix and dissociation of some compounds from the plant matrix <br />
components. This determines the release of plant components, which, in turn, <br />
can improve their digestion and absorption, increasing their <br />
bioavailability(17-19).<br />
<br />
Although some of the vegetables consumed in the human diet are processed to <br />
be eaten, there are few works that correlate their biological activity on <br />
human cell lines in vitro to cooking treatments. Recently, the effect of <br />
grilling and boiling processes on eggplant showed a positive effect on <br />
antioxidant concentrations and chemopreventive activities of the human <br />
polymorphonuclear neutrophils(20).<br />
<br />
There is an increasing attention in the evaluation of the antiproliferative <br />
effects induced by vegetable extracts on human cancer cell lines, performed <br />
mainly by cytotoxicity tests such as <br />
3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and <br />
3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium <br />
(MTS) assays(21,22). Furthermore, an interesting method for studying the <br />
effects of foods on the risk of cancer is the Comet assay, a single-cell gel <br />
electrophoresis technique for measuring DNA breakage in individual <br />
cells(23). The comet assay is performed mainly to evaluate the effects of <br />
antioxidants in vitro(24,25) or in intervention studies(26).<br />
<br />
The goal of the present study was to evaluate the effect of common cooking <br />
practices (i.e. boiling, microwaving and steaming) on the biological <br />
activities of broccoli, cauliflower and Brussels sprouts. The <br />
anti-proliferative activity and chemoprotective effect towards DNA oxidative <br />
damage of fresh and cooked vegetable extracts were evaluated by MTS and <br />
Comet assays.<br />
<br />
Experimental methods<br />
<br />
Chemicals<br />
<br />
Preparation of vegetables<br />
<br />
...<br />
<br />
Preparation of vegetables<br />
<br />
Freshly harvested broccoli (Brassica oleracea L. cv. Italica), Brussels <br />
sprouts (B. oleracea L. cv. gemmifera) and white cauliflower (B. oleracea L. <br />
cv. botrytis cauliflora) of a single batch were analysed. Fresh Brussels <br />
sprouts were purchased from a local market on the day of processing after <br />
road transport under refrigerated conditions within 24 h of harvest and <br />
stored at 7°C for up to 1 d before they were taken. Fresh broccoli and <br />
cauliflower were obtained by a local purchaser and analysed within 3 d of <br />
harvest. The samples were stored at 4°C before analysis.<br />
<br />
Fresh broccoli and cauliflower were cleaned by removing of inedible parts <br />
and then chopped into homogeneous pieces, leaving a stem of 2·5 cm. Brussels <br />
sprouts were deprived of the external leaves.<br />
<br />
To obtain more homogeneous samples, each vegetable was prepared in batches <br />
of 500 g. Each batch was then divided into five equal portions. One portion <br />
was retained raw; the others were cooked in four different methods in <br />
triplicate, as given below.<br />
<br />
Cooking treatments<br />
<br />
Cooking conditions were optimised by preliminary experiments carried out for <br />
each vegetable. For all cooking treatments, the minimum cooking time to <br />
reach tenderness for adequate palatability and taste, according to Italian <br />
eating habits, were used.<br />
<br />
Boiling<br />
<br />
Brassica vegetables were added to boiling tap water in a covered stainless <br />
steel pot (1:5, food/water) and cooked on a moderate flame. Cooking time was <br />
8, 10 and 10 min for broccoli, Brussels sprouts and cauliflower, <br />
respectively. For each cooking trial, ten samples were boiled. Then, the <br />
samples were drained off for 30 s.<br />
<br />
Steaming<br />
<br />
Two types of steaming equipment were employed: an air/steam impingement oven <br />
and a domestic cooker equipped with a mesh basket. Air/steam oven treatments <br />
were carried out in a Combi-Steal SL oven (V-Zug, Zurich, Switzerland). Nine <br />
specimens of vegetables were placed in the oven equilibrated to room <br />
temperature before each cooking trial. Eight samples were arranged in a <br />
circle, and one put at the centre to ensure uniform heating conditions in <br />
all samples for each cooking trial. Cooking time was 13, 17 and 13 min for <br />
broccoli, Brussels sprouts and cauliflower, respectively. The samples were <br />
put into the oven when a temperature of 100°C was reached (displayed by the <br />
apparatus).<br />
<br />
A single layer of nine specimens of Brassica vegetables was steamed in a <br />
domestic closed vessel using a stainless steel steam basket suspended above <br />
a small amount of boiling water. Cooking time was 15, 18 and 11 min for <br />
broccoli, Brussels sprouts and cauliflower, respectively.<br />
<br />
Microwaving<br />
<br />
Microwave treatments were carried out in a domestic microwave oven (Samsung <br />
Electronics Company Limited, Paldal-Gu Suwon Kyungki-Do, Korea) without <br />
water. Ten specimens of vegetables were exposed at a frequency of 2450 Hz at <br />
low power (300 W) on the rotatory turntable plate of the oven. Cooking time <br />
was 30, 18 and 30 min for broccoli, Brussels sprouts and cauliflower, <br />
respectively.<br />
<br />
After all cooking experiments, the samples were cooled rapidly on ice and <br />
then freeze-dried utilising a Brizzio-Basi instrument (Milan, Italy). The <br />
dried sample material was finely ground, kept in sealed bags, and stored <br />
at - 20°C until the analysis.<br />
<br />
...<br />
<br />
Cell lines<br />
<br />
The colon is the major cancer site thought to be protected by vegetables, so <br />
for in vitro studies we employed a cell line, HT-29, used widely as a model <br />
for colon cancer.<br />
<br />
The human colon adenocarcinoma cell line HT-29 ...<br />
<br />
...<br />
<br />
Genotoxicity studies<br />
<br />
DNA damage was measured using single-cell gel electrophoresis (Comet assay). <br />
The alkaline version (pH &gt;13) of the assay was performed to detect <br />
single-strand breaks and alkali-labile sites, such as apyrimidinic and <br />
apurinic sites that are formed when bases are lost and oxidised.<br />
<br />
...<br />
<br />
Antioxidant activity<br />
<br />
The Comet assay was used to study the antioxidant effect of the test <br />
extracts. In that case, the amount of DNA damage caused by an oxidative <br />
damage-inducing agent on the cells pre-treated with the vegetable extracts <br />
was evaluated.<br />
<br />
...<br />
<br />
Results<br />
<br />
Anti-proliferative activity<br />
<br />
Anti-proliferative activity was detected by the MTS assay, a colorimetric <br />
method for determining the number of viable cells in proliferation (Fig. 2). <br />
In the range of the doses used (10- 3/101g eq ww/ml), the raw vegetable <br />
extracts that were analysed showed high anti-proliferative/toxic activity on <br />
the HT-29 colon carcinoma cells. The lowest effective dose (LED, P &lt; 0·001) <br />
was 0·25 g eq ww/ml for broccoli and 0·50 g eq ww/ml for cauliflower and <br />
Brussels sprouts.<br />
<br />
The strong anti-proliferative activity detected with the raw broccoli <br />
extract was maintained with the microwave cooking method (LED: 0·25 g eq <br />
ww/ml, P &lt; 0·001), while the boiled and steamed broccoli extracts showed no <br />
cytotoxic activity up to 4·00 g eq ww/ml.<br />
<br />
All the cooking methods, except basket steaming up to 4·00 g eq ww/ml, <br />
partially maintained the anti-proliferative activity detected in the raw <br />
cauliflower extract: microwaving LED: 1·00 g eq ww/ml (P &lt; 0·01); boiling <br />
LED: 2·00 g eq ww/ml (P &lt; 0·01); oven steaming LED: 1·00 g eq ww/ml (P &lt; <br />
0·05).<br />
<br />
In the case of Brussels sprouts, all the cooking methods applied decreased <br />
the anti-proliferative activity of the raw extract and no cytotoxic activity <br />
was traceable up to 4 g eq ww/ml.<br />
<br />
Genotoxicity<br />
<br />
On the basis of MTS values of raw and cooked vegetables we determined the <br />
sub-toxic concentrations to adopt for the DNA migration analysis (alkaline <br />
Comet assay) on HT-29 cells. To better compare the results between the <br />
extracts from fresh and cooked vegetables, which presented different <br />
antiproliferative activity, we analysed the genotoxicity induced by the <br />
highest non-toxic concentration identified with the raw extracts for all <br />
samples (i.e. broccoli: 0·01 g eq ww/ml; cauliflower and Brussels sprouts: <br />
0·10 g eq ww/ml) and a concentration ten times higher only for cooked <br />
samples (broccoli: 0·10 g eq ww/ml; cauliflower and Brussels sprouts: 1·00 g <br />
eq ww/ml).<br />
<br />
None of the vegetable extracts was able to induce DNA damage at the <br />
concentrations tested (Table 1).<br />
<br />
Table 1. Genotoxicity evaluated by the Comet assay on HT-29 cells treated <br />
(24 h) with raw and cooked vegetable extracts at different concentrations*<br />
(Mean values and standard deviations)<br />
----------------------------------<br />
- - - ===TI (%)<br />
Vegetable extract Cooking method Extract concentration (g eq ww/ml)===Mean <br />
SD<br />
----------------------------------<br />
Untreated cells – – 0·31 0·20<br />
H2O2 (100 mM) – – 6·45 2·89<br />
Vitamin C (1mM) – – 0·30 0·12<br />
----------------------------------<br />
Broccoli<br />
----------------------------------<br />
Raw 0·01 0·22 0·12<br />
Microwaved<br />
   0·01 0·37 0·30<br />
   0·10 0·31 0·22<br />
Boiled 0·01<br />
   0·27 0·08<br />
   0·10 0·18 0·02<br />
Basket steamed<br />
   0·01 0·22 0·03<br />
   0·10 0·35 0·21<br />
Oven steamed<br />
   0·01 0·12 0·04<br />
   0·10 0·34 0·24<br />
----------------------------------<br />
Cauliflower<br />
----------------------------------<br />
Raw 0·10 0·49 0·24<br />
Microwaved<br />
   0·10 0·50 0·18<br />
   1·00 0·33 0·17<br />
Boiled<br />
   0·10 0·58 0·08<br />
   1·00 0·36 0·15<br />
Basket steamed<br />
   0·10 0·35 0·10<br />
   1·00 0·30 0·15<br />
Oven steamed<br />
   0·10 0·38 0·05<br />
   1·00 0·25 0·08<br />
----------------------------------<br />
Brussels sprouts<br />
----------------------------------<br />
Raw 0·10 0·27 0·20<br />
Microwaved<br />
   0·10 0·43 0·35<br />
   1·00 0·40 0·01<br />
Boiled<br />
   0·10 0·46 0·20<br />
   1·00 0·19 0·11<br />
Basket steamed<br />
   0·10 0·36 0·24<br />
   1·00 0·26 0·09<br />
Oven steamed<br />
   0·10 0·25 0·14<br />
   1·00 0·40 0·07<br />
----------------------------------<br />
   TI, tail intensity; g eq ww/ml, equivalent of wet weight g/ml.<br />
   * Negative controls: HT-29 untreated and vitamin C treated (1 mm); <br />
positive control: H2O2 (100 µm).<br />
<br />
Antioxidant activity<br />
<br />
The cells were treated for 24 h with vegetable extracts, after discharging <br />
the medium plus the exhausted extract; they were subjected to 5 min shock <br />
with H2O2 (one of the most common oxidative damage-inducing agents). The <br />
ability to reduce the DNA damage induced by H2O2 treatment in HT-29 cells <br />
was chosen as an indicator of the chemopreventive capability of the <br />
vegetable extracts. Among the antioxidants, ascorbic acid (vitamin C) plays <br />
a central role as it contributes to the regeneration of vitamin E and <br />
constitutes a strong line of defence in retarding free radical-induced <br />
cellular damage(30). The antioxidant activity of ascorbic acid (1 mm) was <br />
determined. Vitamin C pre-treatment produced a significantly strong decrease <br />
(approximately 50 %) of DNA damage induced by H2O2 at 100 µm (P &lt; 0·05). All <br />
the raw vegetable extracts had significant antioxidant activity (P &lt; 0·05) <br />
comparable with vitamin C, in particular the raw broccoli extract showed its <br />
defensive capability at a ten-fold lower concentration than the other two <br />
raw vegetable extracts (Fig. 3).<br />
<br />
Cooking broccoli with microwaving and steaming methods determined a slight <br />
lowering of the antioxidative properties shown by the raw vegetable. In <br />
fact, the same significant DNA migration reduction (P &lt; 0·05) induced by the <br />
raw extract was detected for cooked vegetables extracts at a concentration <br />
that was ten-fold higher. Otherwise, no antioxidant activity was detected in <br />
the boiled broccoli at the extract concentrations tested (Fig. 3), in <br />
agreement with literature data(31).<br />
<br />
A significant antioxidant activity (P &lt; 0·05) was detected in the <br />
cauliflower extracts, independently from the cooking method performed (Fig. <br />
3). In particular, the microwaved vegetable extract seems more effective <br />
than the raw extract and vitamin C.<br />
<br />
The microwaved Brussels sprouts extract showed an antioxidant activity <br />
comparable with the raw extract and vitamin C, whereas the extracts of <br />
boiled and steamed Brussels sprouts showed the same protective activity at <br />
ten-fold higher concentrations (Fig. 3).<br />
<br />
Discussion<br />
<br />
In this study, the effect of cooking practices on the anti-proliferative <br />
and/or antioxidant properties of three fresh Brassica species (broccoli, <br />
cauliflower and Brussels sprouts) was evaluated by MTS and Comet assays. <br />
Data demonstrated a significant dose-dependent anti-proliferative effect <br />
when the human colon cancer cells (HT-29) were treated with uncooked <br />
vegetable extracts. The highest anti-proliferative activity was found with <br />
the broccoli extract with the LED twofold lower than the Brussels sprouts <br />
and cauliflowers extracts. This anti-proliferative rank order could be <br />
linked to the higher content of bioactive compounds, mainly glucosinolates, <br />
present in broccoli than in the other Brassica vegetables analysed (Fig. <br />
1)(27), even though a difference in single compounds present cannot be ruled <br />
out. It is known that some chemopreventive vegetable components could induce <br />
cell cycle arrest in HT-29 cells; in particular the hydrolysis of <br />
glucosinolates by myrosinase could induce the formation of chemopreventive <br />
molecules such as isothiocyanates(32,33). Even though we did not measure the <br />
myrosinase activity in the extracts, during their preparation the Stomaker <br />
treatment could have mimicked the mastication process, determining the <br />
activation of myrosinase and, hence, the formation of hydrolysis products, <br />
as during the Brassica processing before cooking (i.e. chopping, treading, <br />
etc.)(34). Among the vegetables analysed, broccoli has the highest <br />
concentration of the glucosinolate glucoraphanin, which could be hydrolysed <br />
by myrosinase in the reactive isothiocyanate sulforaphane with <br />
chemopreventive properties. Sulforaphane exerts its anti-proliferative <br />
effect by arresting the cell cycle; this arrest has been documented in the <br />
colon, prostate, breast, bladder and T cells(33).<br />
<br />
The release of active molecules from the Brassicaceae tissues, following the <br />
glucosinolate hydrolysis by myrosinase, is strongly influenced by the <br />
cooking practice adopted(34). The lowering or disappearance of the Brassica <br />
anti-proliferative effects detected after cooking practices, particularly <br />
boiling and steaming, could be ascribed to an alteration of the <br />
glucosinolate-myrosinase system(35). Conversely, the higher retention of the <br />
anti-proliferative effect of microwaved Brassica samples with respect to <br />
other cooking practices could be linked to a reduced inactivation of <br />
myrosinase due to the mild cooking conditions applied (i.e. low energy <br />
inputs with consequent low temperature cooking), as demonstrated by Verkerk <br />
&amp; Dekker(36).<br />
<br />
Many in vitro and in vivo studies demonstrated that some molecules (i.e. <br />
polyphenols, catechins, etc.) present in food are anti-carcinogenic by <br />
inducing apoptosis and inhibiting cell growth(10,22). Probable mechanisms of <br />
action include antioxidant and free-radical scavenging activity. On the <br />
other hand, vegetables, including Brassica, present a variable chemical <br />
complex mixture and could also contain compounds with genotoxic <br />
activity(37,38). The vegetable extracts, evaluated in this research, were <br />
analysed both for their genotoxic or anti-genotoxic (antioxidant) activities <br />
by the Comet assay. DNA migration analysis of HT-29 cells treated (24 h) <br />
with vegetable extracts alone, at sub-toxic concentrations determined on MTS <br />
values, did not show any induced DNA damage, whereas HT-29 cells pre-treated <br />
for 24 h with raw and cooked Brassica and treated with H2O2 (100 µm, 5 min <br />
at 0°C) showed different sensitivity to DNA oxidative damage, as revealed by <br />
the alkaline Comet assay.<br />
<br />
The chemopreventive action that was detected was determined by an endogenous <br />
response, due to the fact that the vegetable extract was removed before H2O2 <br />
treatment. In particular, raw, microwaved, boiled (except broccoli) and <br />
steamed vegetable extracts, presented a protective antioxidative action <br />
comparable with vitamin C (1 mm), as demonstrated by the reduced DNA <br />
migration. It is noteworthy that only the cooked cauliflower extracts showed <br />
an antioxidant activity comparable to the raw extract (0·10 g eq ww/ml) with <br />
the same TI (%) variation coefficient.<br />
<br />
Among the different cooking practices, the boiling treatment seems to <br />
determine a different antioxidant status depending on the kind of Brassica <br />
analysed; although the highest loss of activity was found with broccoli, <br />
their cooked extracts remained the more active. The steaming and microwaving <br />
practices showed a general good retention of the antioxidant activity. Based <br />
on the present results, the antioxidant activity of raw extracts could be <br />
probably ascribed to the glucosinolate hydrolysis products. On the contrary, <br />
the antioxidant activity of cooked Brassica vegetables could be due to the <br />
formation of new compounds following the cooking, for instance, polyphenols <br />
with a different oxidation state that could exhibit their antioxidant <br />
activity not being masked by the glucosinolates hydrolysis products. <br />
However, these hypotheses should be confirmed by the identification and <br />
quantification of phytochemical compounds present in the aqueous extracts as <br />
no clear relationships were found when data on biological activities were <br />
compared with the concentration of chemical compounds present in the <br />
vegetables, before the extraction process.<br />
<br />
At a first glance, the comparative analysis of the raw extract toxicological <br />
data (anti-proliferative and antioxidant activities) seems to suggest that <br />
high anti-proliferative activity could be concomitant with high antioxidant <br />
activity, suggesting that the chemopreventive action could be related to the <br />
control of the redox cellular status. This correlation disappears when data <br />
of cooked vegetable extracts are observed; generally, the loss of <br />
anti-proliferative activity seems independent of the antioxidant activity, <br />
suggesting a more complex design involving several pathways differently <br />
regulated by the complex mixtures present in the extracts. These results are <br />
in agreement with Boivin et al.(39), who found that the anti-proliferative <br />
effect of Brassica vegetables, among others, largely independent of their <br />
antioxidant properties evaluated in in vitro experiments.<br />
<br />
In conclusion, the analyses of the present data on the human colon carcinoma <br />
cell line HT-29 indicate that Brassica extracts could positively alter <br />
cellular endogenous chemoprotective status.<br />
<br />
The lack of a chemical characterisation of the water extracts prevents us <br />
from a clear correlation among the biological activities tested and the <br />
specific compounds. Nevertheless, the increased ability of cells, treated <br />
with the Brassica samples, to contrast the reactive oxygen species damaging <br />
activity seems to be related to the complex mixture of the protective <br />
substances present in the vegetables more than to a single class of <br />
molecules.<br />
<br />
The cooking methods applied influence the anti-proliferative activity of the <br />
Brassica extracts but do not alter considerably the high antioxidant <br />
activity presented by the raw vegetables. These data provide a new insight <br />
into the influence of domestic treatment on the quality of food, which could <br />
support the recent epidemiological studies suggesting that the consumption <br />
of cruciferous vegetables, mainly cooked food, may be related to a reduced <br />
risk of developing cancer.<br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
<br />
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      <category>CRCOMMUNITY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?3,209747,209747#msg-209747</guid>
      <pubDate>Thu, 17 May 2012 11:27:10 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Fwd: Am I hypertensive? Reduce or eliminate Lasix?</title>
      <link>http://arc.crsociety.org/read.php?2,209745,209746#msg-209746</link>
      <author>jwwright</author>
      <description><![CDATA[----- Original Message ----- <br />
From: &quot;Saul Lubkin&quot; &lt;saul.lubkin@gmail.com&gt;<br />
To: &quot;The CR Society Main Discussion List&quot; <br />
&lt;CR@lists.calorierestriction.org&gt;<br />
Cc: &quot;Luigi Fontana&quot; &lt;LFontana@DOM.wustl.edu&gt;; &quot;Paul <br />
McGlothin&quot; &lt;paul.mcglothin@gmail.com&gt;<br />
Sent: Thursday, May 17, 2012 7:57 AM<br />
Subject: [CR] Fwd: Am I hypertensive? Reduce or <br />
eliminate Lasix?<br />
<br />
<br />
&gt; Dear ALL,<br />
&gt;<br />
&gt; I'd like to share an email message that I just<br />
&gt; sent to my nephrologist, who has been monitoring <br />
&gt; my BP for the last several<br />
&gt; years.<br />
&gt;<br />
&gt; It's a bit (almost) shocking to me -- I should <br />
&gt; note that, when Luigi<br />
&gt; tested me at WUSTL, he diagnosed &quot;marginal <br />
&gt; hypertension -- but I was taking<br />
&gt; Benicar, 40 mg twice per day, at the time<br />
&gt; [which is twice the recommended maximum daily <br />
&gt; allowance]<br />
&gt;<br />
&gt;<br />
&gt; ---------- Forwarded message ----------<br />
&gt; From: Saul Lubkin &lt;lubkin@math.rochester.edu&gt;<br />
&gt; Date: Thu, May 17, 2012 at 9:51 AM<br />
&gt; Subject: RE: Am I hypertensive? Reduce or <br />
&gt; eliminate Lasix?<br />
&gt; To: Jeremy Taylor <br />
&gt; &lt;jeremy_taylor@urmc.rochester.edu&gt;<br />
&gt;<br />
&gt;<br />
&gt; Hello again, Dr. Taylor!<br />
&gt;<br />
&gt; With 40mg of Lasix, twice per day (and no <br />
&gt; Benicar), BP continues to be very<br />
&gt; low -- typically systolic is in the 90's.<br />
&gt;<br />
&gt; My growing suspicion:<br />
&gt;<br />
&gt; I am not hypertensive.<br />
&gt;<br />
&gt; I (had been) taking Benicar, 40mg, twice per day <br />
&gt; (which is double the<br />
&gt; maximum recommended amount); perhaps I have a bad <br />
&gt; reaction (maybe allergy)<br />
&gt; to Benicar?<br />
&gt;<br />
&gt; Or, perhaps I have suffered from extreme doctor's <br />
&gt; office syndrome for<br />
&gt; years?  (I doubt that this could be a MAJOR <br />
&gt; factor -- a contributing<br />
&gt; factor, probably).<br />
&gt;<br />
&gt; Other possibility:  My diet has changed somewhat <br />
&gt; recently:  I am now<br />
&gt; restricting protein more avidly than before. <br />
&gt; (Typical day:  Protein<br />
&gt; deduced from about 3/4 cup of white beans, or else <br />
&gt; from 1.5 ounces of<br />
&gt; sashimi [1 oz salmon, 1/2 oz yellowtail.  Plus, <br />
&gt; lots of raw low cal<br />
&gt; veggies).<br />
&gt;<br />
&gt; My question:  Should I reduce Lasix to 20mg, twice <br />
&gt; per day, or drop it<br />
&gt; entirely?<br />
&gt;<br />
&gt; :-)<br />
&gt;<br />
&gt; -- Saul<br />
<br />
<br />
Thanks, Saul,<br />
The part I love about your post is that I have HTN, <br />
and your are significantly lower in weight.<br />
As I have said before, I ran a test in myself losing <br />
60 # and my BP never went down to the point I could <br />
drop the verapamil.<br />
I think you do have &quot;true&quot; HTN, which is idiopathic, <br />
but recognize we can think it's caused by an adrenal <br />
adenoma.<br />
Not to worry, because it's far to hard to treat <br />
anyway.<br />
<br />
Take whatever works.<br />
There are many medications and literally, we/they <br />
cut and try.<br />
<br />
I've a friend who runs, can't be more that 125# <br />
soaking wet, and developed HTN during training. At <br />
35 yo.<br />
Uses diovan.<br />
I use verapamil because it's the only thing that <br />
works for me.<br />
<br />
Yes, the diastolic seems the be the biggest problem.<br />
I've never found any logic that tells me why, except <br />
excess fatty foods raises it.<br />
<br />
IMO, it's a good thing to wean off any HTN drug <br />
while you add or change meds.<br />
FWIW, I think a higher diastolic raising BP but <br />
keeping pulse pressure lower is better.<br />
(pulse pressure is the difference between Sys and <br />
Dia.)<br />
<br />
Regards<br />
<br />
 .<br />
<br />
<br />
<br />
<br />
<br />
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<br />
The message was checked by ESET NOD32 Antivirus.<br />
<br />
http://www.eset.com<br />
<br />
<br />
<br />
<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209745,209746#msg-209746</guid>
      <pubDate>Thu, 17 May 2012 11:27:02 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Fwd: Am I hypertensive? Reduce or eliminate Lasix?</title>
      <link>http://arc.crsociety.org/read.php?2,209745,209745#msg-209745</link>
      <author>Saul Lubkin</author>
      <description><![CDATA[Dear ALL,<br />
<br />
I'd like to share an email message that I just<br />
sent to my nephrologist, who has been monitoring my BP for the last several<br />
years.<br />
<br />
It's a bit (almost) shocking to me -- I should    note that, when Luigi<br />
tested me at WUSTL, he diagnosed &quot;marginal hypertension -- but I was taking<br />
Benicar, 40 mg twice per day, at the time<br />
[which is twice the recommended maximum daily allowance]<br />
<br />
<br />
---------- Forwarded message ----------<br />
From: Saul Lubkin &lt;lubkin@math.rochester.edu&gt;<br />
Date: Thu, May 17, 2012 at 9:51 AM<br />
Subject: RE: Am I hypertensive? Reduce or eliminate Lasix?<br />
To: Jeremy Taylor &lt;jeremy_taylor@urmc.rochester.edu&gt;<br />
<br />
<br />
Hello again, Dr. Taylor!<br />
<br />
With 40mg of Lasix, twice per day (and no Benicar), BP continues to be very<br />
low -- typically systolic is in the 90's.<br />
<br />
My growing suspicion:<br />
<br />
I am not hypertensive.<br />
<br />
I (had been) taking Benicar, 40mg, twice per day (which is double the<br />
maximum recommended amount); perhaps I have a bad reaction (maybe allergy)<br />
to Benicar?<br />
<br />
Or, perhaps I have suffered from extreme doctor's office syndrome for<br />
years?  (I doubt that this could be a MAJOR factor -- a contributing<br />
factor, probably).<br />
<br />
Other possibility:  My diet has changed somewhat recently:  I am now<br />
restricting protein more avidly than before.  (Typical day:  Protein<br />
deduced from about 3/4 cup of white beans, or else from 1.5 ounces of<br />
sashimi [1 oz salmon, 1/2 oz yellowtail.  Plus, lots of raw low cal<br />
veggies).<br />
<br />
My question:  Should I reduce Lasix to 20mg, twice per day, or drop it<br />
entirely?<br />
<br />
:-)<br />
<br />
 -- Saul<br />
_______________________________________________<br />
The CR Society List Rules require that list users respect the U.S. copyright law and regulations.<br />
<br />
CR@lists.calorierestriction.org<br />
To change CR mailing list settings or unsubscribe:<br />
http://lists.calorierestriction.org/mailman/listinfo/cr_lists.calorierestriction.org]]></description>
      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209745,209745#msg-209745</guid>
      <pubDate>Thu, 17 May 2012 09:57:35 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209744#msg-209744</link>
      <author>jwwright</author>
      <description><![CDATA[I try to write to eliminate ambiguity, and even if <br />
the term is used as you suggest it should be made <br />
clear in a technical report.<br />
The word sugar for sure is on a bag in the store and <br />
is not anything but sucrose, even if it comes from <br />
beets.<br />
In the case of HFCS, they recently wanted the gov't <br />
to approve the term to apply to HFCS which would <br />
completely hide what they actually put in the foods.<br />
<br />
I think Lustig has a point although I think it <br />
doesn't apply to me because I KNOW HFCS holds more <br />
water in my body and corn syrup(also available in <br />
the dextrose(glucose) form) does the same (in ME). <br />
That raises my blood pressure (BP).<br />
I measure my BP several times per day for <br />
years(1990). If everyone did that, we'd know a lot <br />
more about BP and foods.<br />
<br />
Consumers had an effect on MSG, which also held <br />
water and raised BP.<br />
I could tell that immediately, and leave the <br />
restaurant that used that, even though articles were <br />
saying that was BS.<br />
The articles could not include patient experience.<br />
<br />
That's why I try to use and expect to hear/read <br />
precise terms in technical reports.<br />
Notice that if we get the full text, things clear up <br />
a little.<br />
<br />
That doesn't stop experts from using the term <br />
sugars, I understand that, but I become suspicious <br />
every time they do.<br />
They often use it to cover up something.<br />
<br />
And the media further denigrates the info by <br />
changing the title, meanings.<br />
<br />
Beth sent me the URL to Lustig's lecture, and I <br />
watched that twice and he has some points, and I <br />
think I heard that it's not only HFCS, but added <br />
SUGAR in foods. I think he as the added SUGAR in <br />
foods in foods is a worse problem.<br />
But I also notice some sweetened items are using <br />
maltose and other sweet carbs to IMPROVE flavor.<br />
<br />
And since I know that ALL carbs change into glucose <br />
in the body, in fact, the body can change protein <br />
and fatty acids as well into glucose.<br />
As Lustig puts it, &quot;Glucose is the energy of life&quot;.<br />
<br />
It seems to me that good health boils down to eating <br />
less food and minimizing excess glucose in the blood <br />
and maybe elsewhere, like blood lipids, <br />
interstitium, and lymph system.<br />
<br />
I think in court, Lustig would lose his argument <br />
about HFCS causing anything, even though I agree the <br />
HFCS added to soft drinks is too easy to get excess <br />
calories. In fact, the makers can argue their <br />
product is the same as sucrose, aided by Lustig's <br />
own lecture which says sucrose is 50% glucose.<br />
<br />
BTW, my wife's comment was:<br />
&quot;Why are people living longer?&quot;<br />
<br />
Regards<br />
<br />
<br />
----- Original Message ----- <br />
From: &quot;Taurus&quot; &lt;tauruslondono@gmail.com&gt;<br />
To: &quot;The CR Society Main Discussion List&quot; <br />
&lt;cr@lists.calorierestriction.org&gt;<br />
Sent: Wednesday, May 16, 2012 7:51 PM<br />
Subject: Re: [CR] Headline: Sugar Can Make You Dumb<br />
<br />
<br />
&gt; jwwright<br />
&gt;&gt; sugar is sucrose, breaks down into glucose and <br />
&gt;&gt; fructose.<br />
&gt;&gt; confusion in terms as always.<br />
&gt;<br />
&gt; Indeed; just to be clear here, those are all <br />
&gt; sugars.<br />
&gt; - Taurus<br />
&gt;<br />
<br />
<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209714,209744#msg-209744</guid>
      <pubDate>Thu, 17 May 2012 10:34:49 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Longevity of Tour de France cyclists</title>
      <link>http://arc.crsociety.org/read.php?2,209718,209743#msg-209743</link>
      <author>Rodney Nicholson</author>
      <description><![CDATA[Of course if someone is in generally poor health they are very unlikely to qualify for the Tour de France.<br />
 <br />
So effectively this study automatically selected people in excellent health by choosing to study Tour de France calibre cyclists.  People in excellent health might be expected to live longer than average.<br />
 <br />
Nevertheless, the fact that they do not die sooner than the rest of the population certainly suggests that huge amounts of endurance exercise in early adulthood is not harmful.  Which is good to know.<br />
 <br />
Rodney.<br />
<br />
<br />
&gt;________________________________<br />
&gt; From: Richard Schulman &lt;hormel3@gmail.com&gt;<br />
&gt;To: The CR Society Main Discussion List &lt;cr@lists.calorierestriction.org&gt; <br />
&gt;Sent: Wednesday, May 16, 2012 8:39:50 AM<br />
&gt;Subject: [CR] Longevity of Tour de France cyclists<br />
&gt;  <br />
&gt;[While moderate exercise is undoubtedly good advice for most, and is<br />
&gt;probably most consistent with keeping calorie intake to minimum<br />
&gt;requirements, it doesn't seem to be the case that properly trained<br />
&gt;intense exercisers die earlier than the populations they spring from]:<br />
&gt;&quot;Int J Sports Med. 2011 Aug;32(8):644-7. Epub 2011 May 26.<br />
&gt;Increased average longevity among the &quot;Tour de France&quot; cyclists.<br />
&gt;Sanchis-Gomar F, Olaso-Gonzalez G, Corella D, Gomez-Cabrera MC, Vina<br />
&gt;J.<br />
&gt;<br />
&gt;&quot;Department of Physiology, Faculty of Medicine, University of<br />
&gt;Valencia, Spain.<br />
&gt;<br />
&gt;&quot;Abstract<br />
&gt;<br />
&gt;&quot;It is widely held among the general population and even among health<br />
&gt;professionals that moderate exercise is a healthy practice but long<br />
&gt;term high intensity exercise is not. The specific amount of physical<br />
&gt;activity necessary for good health remains unclear. To date, longevity<br />
&gt;studies of elite athletes have been relatively sparse and the results<br />
&gt;are somewhat conflicting. The Tour de France is among the most<br />
&gt;gruelling sport events in the world, during which highly trained<br />
&gt;professional cyclists undertake high intensity exercise for a full 3<br />
&gt;weeks. Consequently we set out to determine the longevity of the<br />
&gt;participants in the Tour de France, compared with that of the general<br />
&gt;population. We studied the longevity of 834 cyclists from France<br />
&gt;(nF5), Italy (n6) and Belgium (n3) who rode the Tour de France<br />
&gt;between the years 1930 and 1964. Dates of birth and death of the<br />
&gt;cyclists were obtained on December 31 (st) 2007. We calculated the<br />
&gt;percentage of survivors for each age and compared them with the values<br />
&gt;for the pooled general population of France, Italy and Belgium for the<br />
&gt;appropriate age cohorts. We found a very significant increase in<br />
&gt;average longevity (17%) of the cyclists when compared with the general<br />
&gt;population. The age at which 50% of the general population died was<br />
&gt;73.5 vs. 81.5 years in Tour de France participants. Our major finding<br />
&gt;is that repeated very intense exercise prolongs life span in well<br />
&gt;trained practitioners. Our findings underpin the importance of<br />
&gt;exercising without the fear that becoming exhausted might be bad for<br />
&gt;one's health. PMID: 21618162&quot;<br />
&gt;<br />
&gt;RS<br />
&gt;<br />
&gt;_______________________________________________<br />
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&gt;<br />
&gt;<br />
&gt;   <br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209718,209743#msg-209743</guid>
      <pubDate>Wed, 16 May 2012 23:38:40 -0400</pubDate>
    </item>
    <item>
      <title>[CRCOMMUNITY] Offlist -- Re: All-cause mortality by diet pattern in German elderly</title>
      <link>http://arc.crsociety.org/read.php?3,209717,209742#msg-209742</link>
      <author></author>
      <description><![CDATA[Hello Al &amp; CR Community,<br />
<br />
 <br />
<br />
I love this message that you have posted (below)!  Wonderful!!!<br />
<br />
 <br />
<br />
It is the first time that I have seen (dietary eating pattern)<br />
<br />
statistical analysis related to (all-cause mortality) that <br />
<br />
makes sense and gets statistically significant results that <br />
<br />
can be clearly interpreted without controversy.<br />
<br />
 <br />
<br />
&quot;REDUCED RANK REGRESSION&quot; (RRR) is a powerful multivariate <br />
<br />
statistical approach that will surely find further use in <br />
<br />
&quot;epidemiological identification&quot; of &quot;statistically significant <br />
<br />
factors&quot; (linear combinations of measurable variables) affecting <br />
<br />
&quot;all-cause mortality,&quot; after adjusting for the effects of confounding.<br />
<br />
 <br />
<br />
RRR is already used in economics and time series analysis, where<br />
<br />
the complexity is so great that only the most powerful statistical<br />
<br />
methods will work -- after proper statistical adjustment for <br />
<br />
external variables to eliminate confounding.<br />
<br />
 <br />
<br />
It is a great research paper that you have uncovered here.<br />
<br />
I was very, Very, VERY impressed.  Thank you!<br />
<br />
 <br />
<br />
-- Warren<br />
<br />
 <br />
<br />
PS: This multivariate &quot;REDUCED RANK REGRESSION&quot; (RRR)is more<br />
<br />
powerful than the classical multivariate approaches of <br />
<br />
&quot;principal component analysis&quot; (PCA) and &quot;factor analysis&quot; (FA) --- <br />
<br />
since it can produce statistically significant results that<br />
<br />
neither of the two can replicate.  This did surprise me quite<br />
<br />
a bit, when I read the research monograph.  The authors did<br />
<br />
indeed try the PCA/FA approach on their data --- and showed<br />
<br />
that RRR gave superior results.  <br />
<br />
 <br />
<br />
I also note that I could find no specific entry about RRR<br />
<br />
in Wikipedia.  This too was a surprise to me --- RRR, a <br />
<br />
multivariate statistical research method beating out PCA/FA,<br />
<br />
and missing from Wikipedia.<br />
<br />
 <br />
<br />
PPS:  Oh, a second comment.  Note that <br />
<br />
 <br />
<br />
--- the dietary pattern showing high mortality consisted <br />
<br />
entirely of &quot;zero-fiber&quot; foods (not a single food had either <br />
<br />
soluble or insoluble fiber; all were /*ZERO*/ fiber), <br />
<br />
 <br />
<br />
--- while the dietary patter of low mortality consisted<br />
<br />
of &quot;high-fiber&quot; foods (All of them were full of both<br />
<br />
soluble and insoluble fiber).<br />
<br />
 <br />
<br />
Also of note --- the RRR multivariate statistical method <br />
<br />
teased out only these /*TWO*/ specific dietary patterns that <br />
<br />
had a statistically significant relationship to all-cause<br />
<br />
mortality.  <br />
<br />
 <br />
<br />
It is a great research paper that you posted here!<br />
<br />
The clarity of explanation (to members of the statistical <br />
<br />
community, of the RRR method) is appealing to.  '<br />
<br />
 <br />
<br />
I thank you, Dr. Al Pater, for posting your message below.<br />
<br />
It was good, Good, GOOD, /*GOOD*/!<br />
<br />
 <br />
<br />
================ ==============<br />
<br />
-----Original Message-----<br />
From: crcomm-bounces@lists.calorierestriction.org<br />
[mailto:crcomm-bounces@lists.calorierestriction.org] On Behalf Of Al Pater<br />
Sent: Tuesday, May 15, 2012 6:34 PM<br />
To: CR Society Community<br />
Subject: [CRCOMMUNITY] All-cause mortality by diet pattern in German elderly<br />
<br />
 <br />
<br />
Comparison of two statistical approaches to predict all-cause mortality by<br />
dietary patterns in German elderly subjects.<br />
<br />
Hoffmann K, Boeing H, Boffetta P, Nagel G, Orfanos P, Ferrari P, Bamia C.<br />
<br />
Br J Nutr. 2005 May;93(5):709-16.<br />
<br />
PMID:15975171<br />
<br />
http://journals.cambridge.org/action/displayFulltext?type=6<br />
&lt;http://journals.cambridge.org/action/displayFulltext?type=6&amp;fid=919132&amp;jid=<br />
BJN&amp;volumeId=93&amp;issueId=05&amp;aid=919128&amp;bodyId=&amp;membershipNumber=&amp;societyETOCS<br />
ession=&amp;fulltextType=RA&amp;fileId=S000711450500111X&gt;<br />
&amp;fid=919132&amp;jid=BJN&amp;volumeId=93&amp;issueId=05&amp;aid=919128&amp;bodyId=&amp;membershipNumb<br />
er=&amp;societyETOCSession=&amp;fulltextType=RA&amp;fileId=S000711450500111X<br />
<br />
http://journals.cambridge.org/download.php?file=%2FBJN%2FBJN93_05%2FS0007114<br />
50500111Xa.pdf<br />
&lt;http://journals.cambridge.org/download.php?file=%2FBJN%2FBJN93_05%2FS000711<br />
450500111Xa.pdf&amp;code=1795e25db6c729f2db323feb4fadd1e3&gt;<br />
&amp;code=1795e25db6c729f2db323feb4fadd1e3<br />
<br />
 <br />
<br />
Abstract<br />
<br />
 <br />
<br />
Dietary patterns are comprehensive variables of dietary intake appropriate<br />
to model the complex exposure in nutritional research. The objectives of<br />
this study were to identify dietary patterns by applying two statistical<br />
methods, principal component analysis (PCA) and reduced rank regression<br />
(RRR), and to assess their ability to predict all-cause mortality. Motivated<br />
by previous studies we chose percentages of energy from different<br />
macronutrients as response variables in the RRR analysis. We used data from<br />
<br />
9356 German elderly subject enrolled in the European Prospective<br />
Investigation into Cancer and Nutrition study. The first RRR pattern,<br />
subjects which explained 30.8 % of variation in energy sources and<br />
especially much variation in intake of saturated fat, monounsaturated fat<br />
and carbohydrates was a significant predictor of all-cause mortality. The<br />
pattern score had high positive loadings in all types of meat, butter,<br />
sauces and eggs, and was inversely associated with bread and fruits. After<br />
adjustment for other known risk factors, the relative risks from the lowest<br />
to highest quintiles of the first RRR pattern score were 1.0, 1.01, 0.96,<br />
1.32, 1.61 (P for trend: 0.0004). In contrast, the first two PCA patterns<br />
explaining 19.7 % of food intake variation but only 7.0 % of variation in<br />
energy sources were not related to mortality. These results suggest that<br />
variation in macronutrients is meaningful for mortality and that the RRR<br />
method is more appropriate than the classic PCA method to identify dietary<br />
patterns relevant to mortality.<br />
<br />
 <br />
<br />
...<br />
<br />
 <br />
<br />
&quot;a diet rich in [total, saturated, monounsaturated and polyunsaturated] fat<br />
and poor in carbohydrates [as in bread and fruits] decreases life<br />
expectancy. [Mean age (years), 62-63]&quot;<br />
<br />
 <br />
<br />
 <br />
<br />
van Dam RM.<br />
<br />
New approaches to the study of dietary patterns.<br />
<br />
Br J Nutr. 2005 May;93(5):573-4. No abstract available.<br />
<br />
PMID: 15975154<br />
<br />
http://journals.cambridge.org/action/displayFulltext?type=6<br />
&lt;http://journals.cambridge.org/action/displayFulltext?type=6&amp;fid=918860&amp;jid=<br />
BJN&amp;volumeId=93&amp;issueId=05&amp;aid=918856&amp;bodyId=&amp;membershipNumber=&amp;societyETOCS<br />
ession=&amp;fulltextType=AC&amp;fileId=S0007114505000942&gt;<br />
&amp;fid=918860&amp;jid=BJN&amp;volumeId=93&amp;issueId=05&amp;aid=918856&amp;bodyId=&amp;membershipNumb<br />
er=&amp;societyETOCSession=&amp;fulltextType=AC&amp;fileId=S0007114505000942<br />
<br />
http://journals.cambridge.org/download.php?file=%2FBJN%2FBJN93_05%2FS0007114<br />
505000942a.pdf<br />
&lt;http://journals.cambridge.org/download.php?file=%2FBJN%2FBJN93_05%2FS000711<br />
4505000942a.pdf&amp;code=36e4a6f74485dd2d5eecd461067b11c3&gt;<br />
&amp;code=36e4a6f74485dd2d5eecd461067b11c3<br />
<br />
 <br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
 <br />
<br />
_______________________________________________<br />
CRCOMM@lists.calorierestriction.org<br />
To change CRCOMM mailing list settings or unsubscribe:<br />
http://lists.calorierestriction.org/mailman/listinfo/crcomm_lists.calorierestriction.org]]></description>
      <category>CRCOMMUNITY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?3,209717,209742#msg-209742</guid>
      <pubDate>Wed, 16 May 2012 12:37:19 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209741#msg-209741</link>
      <author>Al Pater</author>
      <description><![CDATA[_______________________________________________<br />
The CR Society List Rules require that list users respect the U.S. copyright law and regulations.<br />
<br />
CR@lists.calorierestriction.org<br />
To change CR mailing list settings or unsubscribe:<br />
http://lists.calorierestriction.org/mailman/listinfo/cr_lists.calorierestriction.org]]></description>
      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209714,209741#msg-209741</guid>
      <pubDate>Wed, 16 May 2012 22:08:10 -0400</pubDate>
    </item>
    <item>
      <title>[CRCOMMUNITY] Coffee drinking linked to longer life</title>
      <link>http://arc.crsociety.org/read.php?3,209740,209740#msg-209740</link>
      <author>Al Pater</author>
      <description><![CDATA[The below messages-referred-to papers described are pdf-availed.<br />
<br />
http://edition.cnn.com/2012/05/16/health/coffee-drinking-longer-life/index.html?hpt=he_c2<br />
<br />
Coffee drinking linked to longer life<br />
By Amanda Gardner, Health.com<br />
May 16, 2012 -- Updated 2118 GMT (0518 HKT)<br />
<br />
Coffee contains some 1,000 compounds, many of which are health-promoting <br />
antioxidants.<br />
<br />
STORY HIGHLIGHTS<br />
<br />
Daily cup may lower risk of dying from chronic diseases such as diabetes<br />
<br />
NIH followed 400,000 men and women for 13 years, during which 13% died<br />
<br />
In the study, both regular and decaf were associated with a lower risk of <br />
dying<br />
<br />
(Health.com) -- Drinking a daily cup of coffee -- or even several cups --  <br />
isn't likely to harm your health, and it may even lower your risk of dying <br />
from chronic diseases such as diabetes and heart disease, a new study in the <br />
New England Journal of Medicine suggests.<br />
<br />
The relationship between coffee drinking and health has been a hot topic in <br />
recent years, but research has produced mixed results.<br />
<br />
Some studies have linked coffee consumption to better health and a lower <br />
risk of premature death, while others suggest that coffee -- or rather <br />
caffeine -- might contribute to heart disease through negative effects on <br />
blood pressure, cholesterol, and heart rate.<br />
<br />
The new study is by far the largest of its kind to date. As part of a joint <br />
project with the AARP, researchers from the National Institutes of Health <br />
followed more than 400,000 healthy men and women between the ages of 50 and <br />
71 for up to 13 years, during which 13% of the participants died.<br />
<br />
Health.com: Big perks -- coffee's health benefits<br />
<br />
Overall, coffee drinkers were less likely than their peers to die during the <br />
study, and the more coffee they drank, the lower their mortality risk tended <br />
to be. Compared with people who drank no coffee at all, men and women who <br />
drank six or more cups per day were 10% and 15% less likely, respectively, <br />
to die during the study.<br />
<br />
This pattern held when the researchers broke out the data by specific causes <br />
of death, including heart disease, lung disease, pneumonia,stroke, diabetes, <br />
infections, and even injuries and accidents. Cancer was the only major cause <br />
of death not associated with coffee consumption.<br />
<br />
&quot;There has been some concern that coffee might increase the risk of death, <br />
and this provides some reassurance against that worry,&quot; says Neal D. <br />
Freedman, Ph.D., the lead author of the study and an investigator with the <br />
division of cancer epidemiology and genetics at the National Cancer <br />
Institute, in Rockville, Maryland.<br />
<br />
Even moderate coffee consumption was linked to better survival odds. <br />
Drinking a single cup per day -- which was much more common than a <br />
six-cup-a-day habit -- was associated with a 6% lower risk of dying among <br />
men and a 5% lower risk among women.<br />
<br />
Although these reductions in risk might seem modest, they could have <br />
potentially dramatic implications for public health if spread out over the <br />
tens of millions of coffee drinkers in the United States, says Susan Fisher, <br />
Ph.D., chair of community and preventive medicine at the University of <br />
Rochester Medical Center, in Rochester, New York.<br />
<br />
&quot;Even a small decrease, when you're talking about a [behavior] that is so <br />
ubiquitous across the human population, could mean many, many lives saved,&quot; <br />
Fisher says.<br />
<br />
The findings, however, stop short of saying that coffee drinking directly <br />
lowers the risk of chronic disease. Like much of the previous research on <br />
coffee, the study was based on survey data -- in this case, a single <br />
questionnaire distributed in the mid-1990s -- that may provide an incomplete <br />
picture of the participants' overall health and lifestyle.<br />
<br />
Although the researchers took into account a wide range of extenuating <br />
factors, including diet and exercise regimens, smoking, alcohol consumption, <br />
body mass index, and marital status, it's possible that people who drink <br />
coffee differ from the rest of the population in as-yet unidentified ways <br />
that make them less vulnerable to disease and early death.<br />
<br />
The explanation for the study findings &quot;might not specifically be the <br />
coffee,&quot; Fisher says. &quot;It might be some characteristic of the coffee <br />
drinker.&quot;<br />
<br />
Still, it's plausible that coffee drinking actually improves health. Coffee <br />
contains some 1,000 compounds, many of which are health-promoting <br />
antioxidants, Freedman says.<br />
<br />
&quot;There's some data showing that some of these components may prevent insulin <br />
resistance and have a role in diabetes,&quot; he says.<br />
<br />
In the study, both regular and decaf were associated with a lower risk of <br />
dying, which suggests that these and other substances in coffee might be <br />
more important than caffeine. But even decaf contains trace amounts of <br />
caffeine, so the authors can't entirely rule out the possibility that <br />
caffeine has an effect on health, Freedman says.<br />
<br />
<br />
http://www.cbc.ca/news/health/story/2011/03/10/coffee-stroke.html<br />
<br />
Coffee tied to lower stroke risk in women<br />
The Associated Press<br />
Posted: Mar 10, 2011 6:41 PM ET Last<br />
<br />
Moayyad, director of coffee purchasing for Peet's Coffee, smells coffee <br />
during a blind taste test in 2007. The beverage may help lower the risk of <br />
stroke in women compared with not drinking any. (Kimberly White/Reuters)<br />
<br />
(Note:CBC does not endorse and is not responsible for the content of <br />
external links.)<br />
<br />
Women who enjoy a daily dose of coffee may like this perk: It might lower <br />
their risk of stroke.<br />
<br />
Women in a Swedish study who drank at least a cup of coffee everyday had a <br />
0.22 to 0.25 times lower risk of stroke, compared to those who drank less <br />
coffee or none at all.<br />
<br />
&quot;Coffee drinkers should rejoice,&quot; said Dr. Sharonne Hayes, a cardiologist at <br />
Mayo Clinic in Rochester, Minn. &quot;Coffee is often made out to be potentially <br />
bad for your heart. There really hasn't been any study that convincingly <br />
said coffee is bad.&quot;<br />
<br />
&quot;If you are drinking coffee now, you may be doing some good and you are <br />
likely not doing harm,&quot; she added.<br />
<br />
But Hayes and other doctors say the study shouldn't send non-coffee drinkers <br />
running to their local coffee shop. The study doesn't prove that coffee <br />
lowers stroke risk, only that coffee drinkers tend to have a lower stroke <br />
risk.<br />
<br />
&quot;These sorts of epidemiological studies are compelling but they don't prove <br />
cause,&quot; said Dr. David S. Seres, director of medical nutrition at Columbia <br />
University's College of Physicians and Surgeons in New York.<br />
<br />
The findings were published online Thursday in the American Heart <br />
Association journal Stroke.<br />
<br />
Scientists have been studying coffee for years, trying to determine its <br />
risks and benefits. The Swedish researchers led by Susanna Larsson at the <br />
Karolinska Institute in Stockholm said previous studies on coffee <br />
consumption and strokes have had conflicting findings.<br />
<br />
&quot;There hasn't been a consistent message come out,&quot; of coffee studies, said <br />
Dr. Cathy Sila, a stroke neurologist at University Hospitals Case Medical <br />
Center in Cleveland.<br />
<br />
For the observational study, researchers followed 34,670 Swedish women, ages <br />
49 to 83, for about 10 years. The women were asked how much coffee they <br />
drank at the start of the study. The researchers checked hospital records to <br />
find out how many of the women later had strokes.<br />
<br />
There were 1,680 strokes, including those who drank less than a cup or none.<br />
<br />
Cup a day enough<br />
<br />
Researchers adjusted for differences between the groups that affect stroke <br />
risk, such as smoking, weight, high blood pressure and diabetes, and still <br />
saw a lower stroke risk among coffee drinkers. Larsson said the benefit was <br />
seen whether the women drank a cup or several daily.<br />
<br />
&quot;You don't need to drink so much. One or two cups a day is enough,&quot; she <br />
said.<br />
<br />
Larsson, who in another study found a link between coffee drinking in <br />
Finnish men who smoked and decreased stroke risk, said more research needs <br />
to be done to figure out why coffee may be cutting stroke risk. It could be <br />
reducing inflammation and improving insulin sensitivity, she said, or it <br />
could be the antioxidants in coffee.<br />
<br />
Since study participants were asked about their past coffee consumption and <br />
then followed over time, there is no way to know if they changed their <br />
behaviour.<br />
<br />
Women in the study were not asked whether they drank decaf coffee, but most <br />
Swedes drink caffeinated coffee, the researchers said.<br />
<br />
Larsson and others point out that those who want to reduce their chances of <br />
a stroke should focus on the proven ways to lower risk:<br />
<br />
Don't smoke.<br />
<br />
Keep blood pressure in check.<br />
<br />
Maintain a healthy weight.<br />
<br />
Last year, British researchers also reported a link between any coffee <br />
drinking and reduced risk of stroke in a general population.<br />
<br />
<br />
Association of Coffee Drinking with Total and Cause-Specific Mortality<br />
N.D. Freedman, Y. Park, C.C. Abnet, A.R. Hollenbeck, and R. Sinha<br />
N Engl J Med 2012; 366:1891-1904May 17, 2012<br />
<br />
Journal pre-amble: In this study involving long-term follow-up of more than <br />
400,000 adults, coffee consumption was inversely associated with total <br />
mortality and mortality due to heart disease, respiratory disease, stroke, <br />
injuries and accidents, diabetes, and infections, but not cancer.<br />
<br />
Abstract<br />
<br />
Background<br />
<br />
Coffee is one of the most widely consumed beverages, but the association <br />
between coffee consumption and the risk of death remains unclear.<br />
<br />
Methods<br />
<br />
We examined the association of coffee drinking with subsequent total and <br />
cause-specific mortality among 229,119 men and 173,141 women in the National <br />
Institutes of Health–AARP Diet and Health Study who were 50 to 71 years of <br />
age at baseline. Participants with cancer, heart disease, and stroke were <br />
excluded. Coffee consumption was assessed once at baseline.<br />
<br />
Results<br />
<br />
<br />
During 5,148,760 person-years of follow-up between 1995 and 2008, a total of <br />
33,731 men and 18,784 women died. In age-adjusted models, the risk of death <br />
was increased among coffee drinkers. However, coffee drinkers were also more <br />
likely to smoke, and, after adjustment for tobacco-smoking status and other <br />
potential confounders, there was a significant inverse association between <br />
coffee consumption and mortality. Adjusted hazard ratios for death among men <br />
who drank coffee as compared with those who did not were as follows: 0.99 <br />
(95% confidence interval [CI], 0.95 to 1.04) for drinking less than 1 cup <br />
per day, 0.94 (95% CI, 0.90 to 0.99) for 1 cup, 0.90 (95% CI, 0.86 to 0.93) <br />
for 2 or 3 cups, 0.88 (95% CI, 0.84 to 0.93) for 4 or 5 cups, and 0.90 (95% <br />
CI, 0.85 to 0.96) for 6 or more cups of coffee per day (P&lt;0.001 for trend); <br />
the respective hazard ratios among women were 1.01 (95% CI, 0.96 to 1.07), <br />
0.95 (95% CI, 0.90 to 1.01), 0.87 (95% CI, 0.83 to 0.92), 0.84 (95% CI, 0.79 <br />
to 0.90), and 0.85 (95% CI, 0.78 to 0.93) (P&lt;0.001 for trend). Inverse <br />
associations were observed for deaths due to heart disease, respiratory <br />
disease, stroke, injuries and accidents, diabetes, and infections, but not <br />
for deaths due to cancer. Results were similar in subgroups, including <br />
persons who had never smoked and persons who reported very good to excellent <br />
health at baseline.<br />
<br />
Conclusions<br />
<br />
In this large prospective study, coffee consumption was inversely associated <br />
with total and cause-specific mortality. Whether this was a causal or <br />
associational finding cannot be determined from our data.<br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
<br />
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      <pubDate>Wed, 16 May 2012 22:15:19 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209739#msg-209739</link>
      <author>Taurus</author>
      <description><![CDATA[jwwright <br />
&gt; sugar is sucrose, breaks down into glucose and <br />
&gt; fructose.<br />
&gt; confusion in terms as always.<br />
<br />
Indeed; just to be clear here, those are all sugars.<br />
- Taurus<br />
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      <pubDate>Wed, 16 May 2012 21:51:37 -0400</pubDate>
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    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209738#msg-209738</link>
      <author>Michael Rae</author>
      <description><![CDATA[All:<br />
<br />
James Cain wrote:<br />
&gt; As usual, the media reporting of science is simplified and usually somewhat<br />
&gt; misleading or misrepresented. The actual article seems more focused on<br />
&gt; omega-3 deficiency as the cause of poor learning, rather than the<br />
&gt; sugar/fructose per se.<br />
<br />
It's both, really. What's far more egregious is that all the press is <br />
reporting the story as being on HFCS, when in fact as Jack has noted <br />
they used pure fructose.<br />
<br />
In addition, the fructose was not in the chow, but put into the drinking <br />
water as a 15% fructose solution, to which the animals had AL intake, <br />
meaning that there was no control on total carb or Caloric intake. They <br />
do indicate that &quot;Animals showed a preference towards fructose drinking <br />
in comparison to the food intake; however, total caloric intake (F3,20 = <br />
1.832, P &gt; 0.05) was similar in all the groups,&quot; but the Table seems to <br />
indicate a one-time measurement, which Steven Spindler has shown <br />
decisively is inadequate. And, if the animals really DID balance out <br />
their energy intake, they would have to have been eating less of theeir <br />
chow, which (a) the authors didn't measure, and (b) would leave them <br />
deficinet in micronutrients -- including eating less of the n3 in <br />
supplemented and deficient chow.<br />
<br />
This is a long-standing, oft-used, and very sloppy methodology that <br />
generates meaningless, tho' sometimes oft-cited, results; I'm annoyed <br />
that it's reared its ugly head again.<br />
<br />
Another misreport: the n-3 fatty acids were not straight DHA, but &quot;0.5% <br />
of flaxseed oil and 1.2% of docosahexaenoic acid capsule oil&quot;.<br />
<br />
As you say, it dos seem that the article is more &quot;focused on omega-3 <br />
deficiency as the cause of poor learning&quot;; it's not clear how sensible <br />
this is in light of the results, tho' again, the methodology makes <br />
drawing any conclusions shaky anyway.<br />
<br />
Pleased to see you on CR Society, James.<br />
<br />
-Michael<br />
<br />
&gt; J Physiol. 2012 Apr 2. [Epub ahead of print]<br />
&gt; &quot;Metabolic syndrome&quot; in the brain: Deficiency in omega-3-fatty acid<br />
&gt; exacerbates dysfunctions in insulin receptor signaling and cognition.<br />
&gt; Agrawal R, Gomez-Pinilla F.<br />
&gt; PMID: 22473784<br />
http://jp.physoc.org/content/590/10/2485.full<br />
<br />
<br />
-- <br />
SENS: The biotechnologies of rejuvenation. See the outline &lt; <br />
http://tinyurl.com/SENS-outline&gt;; learn the detailed science! &lt; <br />
http://tinyurl.com/End-Aging&gt;<br />
<br />
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      <pubDate>Wed, 16 May 2012 20:45:43 -0400</pubDate>
    </item>
    <item>
      <title>[CRCOMMUNITY] New data on the health of these United States</title>
      <link>http://arc.crsociety.org/read.php?3,209737,209737#msg-209737</link>
      <author>Al Pater</author>
      <description><![CDATA[New data on the health of these United States<br />
<br />
http://thechart.blogs.cnn.com/2012/05/16/new-data-on-the-health-of-these-united-states/?hpt=he_c2<br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
<br />
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      <guid isPermaLink="true">http://arc.crsociety.org/read.php?3,209737,209737#msg-209737</guid>
      <pubDate>Wed, 16 May 2012 20:04:12 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209736#msg-209736</link>
      <author>jwwright</author>
      <description><![CDATA[sugar is sucrose, breaks down into glucose and <br />
fructose.<br />
confusion in terms as always.<br />
In plants, fructose may be present as the <br />
monosaccharide and/or as a component of sucrose.<br />
http://en.wikipedia.org/wiki/Fructose_intoxication<br />
<br />
He increased the fructose.<br />
Needs to do the same with sugar.<br />
<br />
Regards<br />
<br />
----- Original Message ----- <br />
From: &quot;Taurus&quot; &lt;tauruslondono@gmail.com&gt;<br />
To: &quot;The CR Society Main Discussion List&quot; <br />
&lt;cr@lists.calorierestriction.org&gt;<br />
Sent: Wednesday, May 16, 2012 3:56 PM<br />
Subject: Re: [CR] Headline: Sugar Can Make You Dumb<br />
<br />
<br />
&gt; jwwright wrote<br />
&gt;&gt; IMO, he suggests the action is from fructose not <br />
&gt;&gt; sugar.<br />
&gt;<br />
&gt; Fructose is sugar.<br />
&gt; - Taurus<br />
&gt;<br />
&gt; <br />
<br />
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      <pubDate>Wed, 16 May 2012 19:01:34 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209735#msg-209735</link>
      <author>Taurus</author>
      <description><![CDATA[jwwright wrote<br />
&gt; IMO, he suggests the action is from fructose not <br />
&gt; sugar.<br />
<br />
Fructose is sugar.<br />
- Taurus<br />
<br />
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      <pubDate>Wed, 16 May 2012 17:56:12 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb The DHA-deprivedanimalswere slower</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209734#msg-209734</link>
      <author>Elizabeth Kirby</author>
      <description><![CDATA[On Wed, May 16, 2012 at 2:06 PM, jwwright &lt;jwwright@eastex.net&gt; wrote:<br />
&gt;<br />
&gt;<br />
&gt; You jumped a few steps there.<br />
&gt; Digestion, absorption of glucose, fructose, galactose into portal artery.<br />
&gt; You'll need to give me a cite on that one, please.<br />
&gt;<br />
<br />
http://youtu.be/dBnniua6-oM<br />
<br />
  It's long, but detailed.<br />
<br />
<br />
&gt;<br />
&gt; Whether they enter blood or lymph, the ones we measure are in blood.<br />
&gt; Since they come from dietary fats<br />
&gt;<br />
<br />
  Also from carbs.<br />
<br />
<br />
&gt;<br />
&gt;<br />
<br />
&gt; This the right Lustig?<br />
&gt;<br />
&gt;<br />
<br />
&gt;<br />
&gt; Pediatrics. 2012 Mar;129(3):557-70. Epub 2012 Feb 20.<br />
&gt; Toward a unifying hypothesis of metabolic syndrome. PMID:22351884<br />
&gt;<br />
<br />
 Yes -- thanks for the reference.<br />
<br />
 Beth<br />
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      <pubDate>Wed, 16 May 2012 16:52:47 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209733#msg-209733</link>
      <author>jwwright</author>
      <description><![CDATA[----- Original Message ----- <br />
From: &quot;Al Pater&quot; &lt;alpater@shaw.ca&gt;<br />
To: &quot;The CR Society Main Discussion List&quot; <br />
&lt;cr@lists.calorierestriction.org&gt;<br />
Sent: Wednesday, May 16, 2012 2:02 PM<br />
Subject: Re: [CR] Headline: Sugar Can Make You Dumb<br />
<br />
<br />
&gt;&gt; J Physiol. 2012 Apr 2. [Epub ahead of print]<br />
&gt;&gt; &quot;Metabolic syndrome&quot; in the brain: Deficiency in <br />
&gt;&gt; omega-3-fatty acid<br />
&gt;&gt; exacerbates dysfunctions in insulin receptor <br />
&gt;&gt; signaling and cognition.<br />
&gt;&gt; Agrawal R, Gomez-Pinilla F.<br />
&gt;&gt; PMID: 22473784<br />
&gt;<br />
&gt; ... as shown more clearly in the free full-texts.<br />
&gt;<br />
&gt; http://jp.physoc.org/content/590/10/2485.full<br />
&gt; http://jp.physoc.org/content/590/10/2485.full.pdf+html<br />
&gt;<br />
&gt; -- Al Pater, alpater@SHAW.ca<br />
TVM, Alan,<br />
What a difference a title makes.<br />
<br />
&quot;Therefore the present study was planned to study <br />
the potential of an n-3 fatty acid (docosahexaenoic <br />
acid;DHA) enriched diet to counteract insulin <br />
resistance in brain.&quot;<br />
<br />
&quot;After acclimatization for 1 week on standard rat <br />
chow, rats were trained on the Barnes maze test for <br />
5 days to learn the task, and then randomly assigned <br />
to an omega-3 fatty acid diet (n-3 diet) or omega-3 <br />
fatty acid deficient diet (n-3 def) diet with or <br />
without fructose solution (15%) as drinking water <br />
for 6 weeks.&quot;<br />
{The best outcome was the DHA diet w/o Fru.<br />
<br />
{The second best was the non DHA diet w/o Fru.<br />
<br />
IMO, he suggests the action is from fructose not <br />
sugar.<br />
<br />
Regards<br />
<br />
<br />
<br />
<br />
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      <pubDate>Wed, 16 May 2012 17:37:50 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb The DHA-deprivedanimalswere slower</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209732#msg-209732</link>
      <author>jwwright</author>
      <description><![CDATA[You'll need to give me a cite on that one, please.<br />
<br />
----- Original Message ----- <br />
From: &quot;Elizabeth Kirby&quot; &lt;crbeth@gmail.com&gt;<br />
To: &quot;The CR Society Main Discussion List&quot; <br />
&lt;cr@lists.calorierestriction.org&gt;<br />
Sent: Wednesday, May 16, 2012 12:42 PM<br />
Subject: Re: [CR] Headline: Sugar Can Make You Dumb <br />
The DHA-deprivedanimalswere slower<br />
<br />
<br />
&gt; Lustig has also been saying that fructose can be <br />
&gt; metabolized in the liver<br />
&gt; into fat (depending to some extent on the amount <br />
&gt; that arrives at a given<br />
&gt; time).<br />
&gt;<br />
&gt; Thus, a high fructose diet (e.g. one that contains <br />
&gt; a lot of sugar and/or<br />
&gt; HCFS) is a high fat diet.   Perhaps even more to <br />
&gt; the point, the resulting<br />
&gt; fat is dumped into the bloodstream.<br />
&gt;<br />
&gt; I read recently that fat in the diet is dropped <br />
&gt; into the lymphatic system<br />
&gt; (not the portal vein), so it has minimal effect on <br />
&gt; the TG levels in the<br />
&gt; blood.<br />
&gt;<br />
&gt; Beth<br />
<br />
Beth,<br />
You jumped a few steps there.<br />
Digestion, absorption of glucose, fructose, <br />
galactose into portal artery.<br />
You'll need to give me a cite on that one, please.<br />
<br />
Yes, long chain FA's are absorbed directly into <br />
lymph, per Guyton.<br />
Fructose is absorbed into the portal artery(already <br />
cited) into the liver.<br />
Excess fructose may &quot;play havoc&quot;, I don't doubt it, <br />
probably the cause of  obesity and Metabolic <br />
syndrome increases, and I add, in some people.<br />
<br />
There are increases in triglycerides in some <br />
people - that's a glycerol + 3 fatty acids.<br />
Where is that done?<br />
Guyton says intestine. &quot;Digestion of Fats&quot;, pg <br />
835-836.<br />
<br />
Whether they enter blood or lymph, the ones we <br />
measure are in blood.<br />
Since they come from dietary fats<br />
<br />
What I don't see so far, is the mechanism, that <br />
shows how HFCS (I hate it) causes anything.<br />
What enters the blood is glucose, fructose, <br />
galactose which are processed into mostly glucose <br />
out of liver.<br />
I have to wonder if and why the liver would capture <br />
ALL the glucose and ALL the fructose, so it could be <br />
that an excess of fructose is not handled first <br />
pass. My take.<br />
<br />
This the right Lustig?<br />
&quot;In contrast to the systemic metabolism of glucose, <br />
the liver is the primary metabolic clearinghouse for <br />
4 specific foodstuffs that have been associated with <br />
the development of MetS: trans-fats, branched-chain <br />
amino acids, ethanol, and fructose. These 4 <br />
substrates (1) are not insulin regulated and (2) <br />
deliver metabolic intermediates to hepatic <br />
mitochondria without an appropriate &quot;pop-off&quot; <br />
mechanism for excess substrate, enhancing <br />
lipogenesis and ectopic adipose storage. Excessive <br />
fatty acid derivatives interfere with hepatic <br />
insulin signal transduction. Reactive oxygen species <br />
accumulate, which cannot be quenched by adjacent <br />
peroxisomes; these reactive oxygen species reach the <br />
endoplasmic reticulum, leading to a compensatory <br />
process termed the &quot;unfolded protein response,&quot; <br />
driving further insulin resistance and eventually <br />
insulin deficiency. &quot;<br />
<br />
Pediatrics. 2012 Mar;129(3):557-70. Epub 2012 Feb <br />
20.<br />
Toward a unifying hypothesis of metabolic syndrome. <br />
PMID:22351884<br />
<br />
And,<br />
Yes I believe fructose is metabolized into fat in <br />
the presence of adequate glucose, so it would appear <br />
HFCS is a good way to increase body fat.<br />
http://en.wikipedia.org/wiki/Fructose<br />
fructose is metabolized primarily in the liver.[60]<br />
EDITORIAL<br />
Bray, George A. (2007). How bad is fructose?. <br />
American Journal of Clinical Nutrition<br />
<br />
http://www.ajcn.org/content/86/4/895.full<br />
<br />
&quot;Fructose differs in several ways from glucose, the <br />
other half of the sucrose (sugar) molecule (4). <br />
Fructose is absorbed from the gastrointestinal tract <br />
by a different mechanism than that for glucose. <br />
Glucose stimulates insulin release from the isolated <br />
pancreas, but fructose does not. Most cells have <br />
only low amounts of the glut-5 transporter, which <br />
transports fructose into cells. Fructose cannot <br />
enter most cells, because they lack glut-5, whereas <br />
glucose is transported into cells by glut-4, an <br />
insulin-dependent transport system. Finally, once <br />
inside the liver cell, fructose can enter the <br />
pathways that provide glycerol, the backbone for <br />
triacylglycerol. The growing dietary amount of <br />
fructose that is derived from sucrose or HFCS has <br />
raised questions about how children and adults <br />
respond to fructose alone or when it is accompanied <br />
by glucose. In one study, the consumption of <br />
high-fructose meals reduced 24-h plasma insulin and <br />
leptin concentrations and increased postprandial <br />
fasting triacylglycerols in women, but it did not <br />
suppress circulating ghrelin, a major <br />
appetite-stimulating hormone (4). &quot;<br />
<br />
&quot;Fructose is metabolized, primarily in the liver, by <br />
phosphorylation on the 1-position, a process that <br />
bypasses the rate-limiting phosphofructokinase step <br />
(4). Hepatic metabolism of fructose thus favors <br />
lipogenesis, and it is not surprising that several <br />
studies have found changes in circulating lipids <br />
when subjects eat high-fructose diets (4).&quot;<br />
{and more}<br />
<br />
Regards<br />
<br />
<br />
<br />
 <br />
<br />
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      <category>CRSOCIETY</category>
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      <pubDate>Wed, 16 May 2012 17:06:51 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209731#msg-209731</link>
      <author>Al Pater</author>
      <description><![CDATA[From: &quot;James Cain&quot; &lt;jcain8@gmail.com&gt;<br />
<br />
<br />
&gt; As usual, the media reporting of science is simplified and usually <br />
&gt; somewhat<br />
&gt; misleading or misrepresented. The actual article seems more focused on<br />
&gt; omega-3 deficiency as the cause of poor learning, rather than the<br />
&gt; sugar/fructose per se.<br />
&gt;<br />
&gt; -------------------<br />
&gt; J Physiol. 2012 Apr 2. [Epub ahead of print]<br />
&gt; &quot;Metabolic syndrome&quot; in the brain: Deficiency in omega-3-fatty acid<br />
&gt; exacerbates dysfunctions in insulin receptor signaling and cognition.<br />
&gt; Agrawal R, Gomez-Pinilla F.<br />
&gt; PMID: 22473784<br />
<br />
... as shown more clearly in the free full-texts.<br />
<br />
http://jp.physoc.org/content/590/10/2485.full<br />
http://jp.physoc.org/content/590/10/2485.full.pdf+html<br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
<br />
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      <category>CRSOCIETY</category>
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      <pubDate>Wed, 16 May 2012 16:02:24 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Longevity of Tour de France cyclists</title>
      <link>http://arc.crsociety.org/read.php?2,209718,209730#msg-209730</link>
      <author>Al Pater</author>
      <description><![CDATA[From: &quot;Richard Schulman&quot; &lt;hormel3@gmail.com&gt;<br />
<br />
<br />
&gt; [While moderate exercise is undoubtedly good advice for most, and is<br />
&gt; probably most consistent with keeping calorie intake to minimum<br />
&gt; requirements, it doesn't seem to be the case that properly trained<br />
&gt; intense exercisers die earlier than the populations they spring from]:<br />
<br />
&gt; &quot;Increased average longevity among the &quot;Tour de France&quot; cyclists.<br />
Sanchis-Gomar F, Olaso-Gonzalez G, Corella D, Gomez-Cabrera MC, Vina J.<br />
Int J Sports Med. 2011 Aug;32(8):644-7. Epub 2011 May 26.<br />
PMID:21618162<br />
<br />
This is hardly a proper prospective trial, being retrospective.  To do a <br />
semi-decent study with these goals of being a good prospective study, you <br />
need to know their baseline longevity-associated characteristics and those <br />
of the &quot;controls&quot;.  Healthy people more often participate in good <br />
health-requiring activities.<br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209718,209730#msg-209730</guid>
      <pubDate>Wed, 16 May 2012 15:30:00 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb The DHA-deprived animalswere slower</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209729#msg-209729</link>
      <author>Elizabeth Kirby</author>
      <description><![CDATA[Lustig has also been saying that fructose can be metabolized in the liver<br />
into fat (depending to some extent on the amount that arrives at a given<br />
time).<br />
<br />
Thus, a high fructose diet (e.g. one that contains a lot of sugar and/or<br />
HCFS) is a high fat diet.   Perhaps even more to the point, the resulting<br />
fat is dumped into the bloodstream.<br />
<br />
I read recently that fat in the diet is dropped into the lymphatic system<br />
(not the portal vein), so it has minimal effect on the TG levels in the<br />
blood.<br />
<br />
Beth<br />
<br />
&gt;<br />
&gt; Also true, but as Lustig has been very loudly highlighting, it's exactly<br />
&gt; what happens in the liver that makes excess fructose (including sucrose as<br />
&gt; a fructose-containing disaccharide, and HFCS as a fructose-containing blend<br />
&gt; of sugar monomers) play metabolic havoc.<br />
&gt;<br />
&gt;<br />
&gt;<br />
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      <pubDate>Wed, 16 May 2012 14:42:02 -0400</pubDate>
    </item>
    <item>
      <title>[CRCOMMUNITY] Body composition &amp; healthy aging</title>
      <link>http://arc.crsociety.org/read.php?3,209728,209728#msg-209728</link>
      <author>Al Pater</author>
      <description><![CDATA[The below paper is pdf-availed.<br />
<br />
&quot;Using BMI or percentage of fat to evaluate changes in body composition of <br />
older men<br />
masks the loss of fat-free mass associated with ageing of healthy men.&quot;<br />
<br />
<br />
Br J Nutr. 2011 Aug 3:1-7. [Epub ahead of print]<br />
Longitudinal changes in body composition associated with healthy ageing: <br />
men, aged 20-96 years.<br />
Jackson AS, Janssen I, Sui X, Church TS, Blair SN.<br />
PMID:21810289<br />
<br />
Abstract<br />
<br />
Obesity and sarcopenia are health problems associated with ageing.<br />
<br />
The present study modelled the longitudinal changes in body composition of <br />
healthy men, aged from 20 to 96 years, and evaluated the fidelity of BMI to <br />
identify age-dependent changes in fat mass and fat-free mass.<br />
<br />
The data from 7265 men with multiple body composition determinations (total <br />
observations 38 328) were used to model the age-related changes in body <br />
mass, fat mass, fat-free mass, BMI and percentage of body fat. Changes in <br />
fat mass and fat-free mass were used to evaluate the fidelity of BMI and to <br />
detect body composition changes with ageing.<br />
<br />
Linear mixed regression models showed that all trajectories of body <br />
composition with healthy ageing were quadratic. Fat mass, BMI and percentage <br />
of body fat increased from age 20 years and levelled off at approximately 80 <br />
years. Fat-free mass increased slightly from age 20 to 47 years and then <br />
declined at a non-linear rate with ageing. Levels of aerobic exercise had a <br />
positive influence on fat mass and a slight negative effect on fat-free <br />
mass. BMI and percentage of body fat were sensitive in detecting the <br />
increase in fat mass that occurred with healthy ageing, but failed to <br />
identify the loss of fat-free mass that started at age 47 years.<br />
<br />
Key Words:<br />
<br />
Longitudinal changes; Ageing; BMI; Fat-free mass; Fat mass; Sarcopaenia<br />
<br />
Abbreviations: ACLS, Aerobics Center Longitudinal Study; DXA, dual-energy <br />
X-ray absorptiometry; LMM, linear mixed models; PAI, physical activity index<br />
<br />
BMI, the ratio of weight to height, is often used to evaluate body <br />
composition and define obesity(1-4). Cross-sectional data from the National <br />
Health and Nutrition Examination Survey suggest two body composition trends. <br />
First, a secular trend, the prevalence of obesity among American adults has <br />
systematically increased over the past 30 years(1,2,4-9). Second, the <br />
prevalence of obesity increases with ageing(9,10). The major source of BMI <br />
variation is body mass, which consists of fat mass and fat-free mass <br />
components. A limitation of using BMI to evaluate body composition is that <br />
changes can be due to either fat mass or fat-free mass.<br />
<br />
The present focus of body composition research is on the ‘obesity epidemic’(1-4). <br />
BMI is associated with the risk of all-cause mortality(11-14) that is <br />
attenuated in the elderly. There is a growing concern about the health risks <br />
associated with the loss of fat-free mass with ageing. Longitudinal research <br />
findings document that a stable body mass of older individuals often masks <br />
body composition changes that occur in fat mass and fat-free mass <br />
components(15-18). Investigators have reported(15-17,19-21) a longitudinal <br />
loss of fat-free mass with ageing of older men. Sarcopenia, the loss of <br />
skeletal muscle mass, strength and function, is a growing health risk of <br />
older individuals(22,23), which has been linked to functional impairment and <br />
physical disability(24,25). Muscle mass makes up the majority of fat-free <br />
mass, suggesting an association between the loss in fat-free mass and <br />
sarcopenia risk.<br />
<br />
The samples used to define the longitudinal changes in fat-free mass are <br />
restricted to older individuals, thereby limiting the generalisability of <br />
longitudinal findings(15-17,19-21). The Aerobics Center Longitudinal Study <br />
(ACLS) cohort provides a unique opportunity to model longitudinal changes in <br />
body composition associated with healthy ageing across the adult age range. <br />
The ACLS is an open cohort study with individuals of all ages who have <br />
multiple follow-up body composition measurements. The cohort examined <br />
consisted of healthy men who completed a maximal exercise test and had their <br />
body composition measured. The goal of the present study was to model the <br />
longitudinal changes in body composition associated with healthy men aged <br />
20-96 years. The study had four major objectives: (1) define the <br />
longitudinal changes in body mass and the body composition components of fat <br />
mass and fat-free mass; (2) model the longitudinal changes in BMI and <br />
percentage of fat with ageing; (3) define the independent role of aerobic <br />
exercise on body composition; (4) define the fidelity of BMI and percentage <br />
of fat for evaluating the changes in fat mass and fat-free mass associated <br />
with ageing.<br />
<br />
Methods<br />
<br />
Study population<br />
<br />
Body composition and activity methodsStatistical <br />
analysesResultsDiscussionAcknowledgementsReferencesStudy population<br />
The present analysis included 8099 men who received at least three <br />
comprehensive medical examinations at the Cooper Clinic in Dallas, TX, USA <br />
between 1971 and 2006. The men selected for the study completed from three <br />
to thirty-three tests (mean 5·6 tests) for a total of 45 643 observations. A <br />
preliminary examination of the data revealed that the activity data before <br />
1975 were incomplete. The 6653 tests completed from 1971 to 1974 were <br />
excluded. An additional 695 tests were excluded because the patient did not <br />
reach 85 % of his age-predicted maximal heart rate during the exercise test. <br />
An additional thirty-three tests were excluded due to outliers and erroneous <br />
data. The final study sample included 7265 men with a total of 38 328 <br />
observations, an average of 5·3 tests per individual from 1975 to 2006.<br />
<br />
The men were clinically healthy members of the ACLS. Participants came to <br />
the clinic for periodic preventive health examinations and for counselling <br />
regarding diet, exercise, weight control and other lifestyle factors <br />
associated with the increased risk of chronic disease. Participants were <br />
volunteers, not paid and not recruited to the study. Many were sent by their <br />
employers for the examination, some were referred by their physicians and <br />
others were self-referred. Participants were predominantly white, well <br />
educated, and belonged to middle and upper socio-economic strata; all had <br />
access to health care. Because we excluded individuals with major chronic <br />
diseases (heart attack, stroke and cancer), those who failed to achieve at <br />
least 85 % of their estimated maximal heart rate on the treadmill test, and <br />
those with abnormal exercise tests, the study population was healthier than <br />
the general population. ...<br />
<br />
...<br />
<br />
Results<br />
<br />
Methods<br />
<br />
Study population<br />
<br />
Body composition and activity methodsStatistical <br />
analysesDiscussionAcknowledgementsReferencesTable 1 gives the descriptive <br />
statistics for all observations and categorised by age group. The men ranged <br />
in age from 20 to 96 years. Height decreased across the age groups. Body <br />
mass, BMI and fat-free mass were lower for men =/&gt; 60 years. Percentage of <br />
fat and fat mass increased across the age groups. Fat-free mass increased up <br />
to age 50 years and then decreased. The proportion of overweight or obese <br />
(BMI =/&gt; 25 kg/m2) men varied from a high of 57 % for men aged 50-59 years <br />
and a low of 37 % for men aged =/&gt; 70 years. Trends in PAI by age group did <br />
not appear to be evident. The percentage of active men (PAI =/&gt; 3) ranged <br />
from 27·4 % for men aged less than 40 years to 29·3 % for men aged 60-69 <br />
years. Nearly 28 % of men aged =/&gt; 70 years reported they walked or jogged <br />
=/&gt; 10 miles/week.<br />
<br />
Table 1. Descriptive statistics for all observations and by age group<br />
(Mean values and standard deviations)<br />
---------------------------------------------------<br />
          ===Observations by age group===All observations<br />
          ===&lt;40 years 40–49 years 50–59 years 60–69 years =/&gt;70 years==Variables===Mean SD Mean SD Mean SD Mean SD Mean SD===Mean SD<br />
---------------------------------------------------<br />
Sample size (n) 7006 14 554 12 259 3976 533 38 328<br />
Age (years) 35·0 3·7 44·7 2·8 54·0 2·8 63·2 2·6 73·0 3·4 48·2 9·4<br />
Height (cm) 179·9 6·6 179·4 6·5 178·8 6·2 177·8 6·3 175·8 6·2 179·1 6·4<br />
Body mass (kg) 82·2 12·1 83·1 11·7 83·0 11·0 80·6 10·2 76·7 10·1 82·6 11·4<br />
BMI (kg/m2) 25·4 3·2 25·8 3·1 26·0 3·0 25·5 2·8 24·8 2·9 25·7 3·0<br />
Percentage of fat 18·1 6·0 20·2 5·6 21·7 5·2 22·0 5·1 22·1 5·2 20·5 5·6<br />
Fat mass (kg) 15·3 6·9 17·1 6·6 18·3 6·3 18·0 5·8 17·3 5·9 17·3 6·6<br />
Fat-free mass (kg) 66·9 7·8 66·0 7·2 64·7 6·8 62·6 6·3 59·4 6·0 65·3 7·2<br />
BMI =/&gt;25 kg/m2 (%) 48·8 55·3 59·1 53·5 39·4 54·9<br />
PAI 0 (%) 20·6 19·0 17·9 17·5 23·1 18·9<br />
PAI 1 (%) 20·7 22·2 23·1 25·9 26·3 22·6<br />
PAI 2 (%) 31·2 29·5 29·9 27·2 22·9 29·6<br />
PAI 3 (%) 17·6 19·3 20·3 20·9 20·4 19·5<br />
PAI 4 (%) 9·70 10·0 8·8 8·5 7·3 9·4<br />
---------------------------------------------------<br />
   PAI, physical activity index.<br />
<br />
Table 2 gives the longitudinal ageing models of the body composition <br />
variables. Provided are the maximum-likelihood estimates of the LMM <br />
regression weights (ß) and the 95 % CI of each weight. The quadratic model <br />
provided a more accurate fit (P &lt; 0·0001) than a linear model for all body <br />
composition variables. Figs. 1 and 2 illustrate the ageing trajectories for <br />
the body composition components defined by these models. Table 3 provides <br />
the estimated body composition at age 20 years and the estimated decade <br />
change for each body composition variable. Fig. 1 shows that body mass <br />
increased with ageing and levelled off at age 69 years and decreased at a <br />
non-linear rate with ageing. Table 3 shows that the loss of body mass was <br />
0·80 and 1·97 kg in the seventh and eighth decades, respectively. Fat mass <br />
increased with ageing, levelled off and then decreased slightly (0·25 kg, <br />
approximately 0·6 pounds) in the eighth decade. Fat-free mass increased <br />
slightly from age 20 to 47 years and then decreased. Table 3 shows that <br />
fat-free mass decreased to 0·42 kg in the fifth decade that progressively <br />
increased to 1·96 kg in the eighth decade. Percentage of fat and BMI <br />
increased at non-linear rates and levelled off at age 88 years for <br />
percentage of fat and 77 years for BMI. Percentage of fat increased in each <br />
age decade while BMI increased with age until the eighth decade where it <br />
decreased slightly, - 0·13 kg/m2.<br />
<br />
Table 2. Maximum-likelihood regression estimates defining the longitudinal <br />
body composition quadratic ageing trajectories of men<br />
(Regression estimates and 95 % confidence intervals)<br />
---------------------------------------------------<br />
- ===Constant Age Age2<br />
Variables b 95% CI b 95% CI b 95% CI<br />
---------------------------------------------------<br />
Body mass (kg) 59·1131* 58·0159, 60·2104 0·7973* 0·75432, <br />
0·84037 -0·0058* -0·0063, -0·0054<br />
Fat mass (kg) -0·3566 -1·3569, 0·6438 0·5417* 0·5015, <br />
0·5819 -0·0033* -0·0037, -0·0029<br />
Fat-free mass (kg) 60·3428* 59·5200, 61·1656 0·2384* 0·2058, <br />
0·2711 -0·0026* -0·0029, –0·0023<br />
BMI (kg/m2) 19·3111* 18·9670, 19·6553 0·2009* 0·1873, <br />
0·2145 -0·0013* -0·0014, -0·0011<br />
Percentage of fat 5·1705* 4·1833, 6·1577 0·4527* 0·4127, <br />
0·4926 -0·0026* -0·0030, -0·0022<br />
---------------------------------------------------<br />
    * Coefficients were significantly different (P &lt; 0·001).<br />
<br />
Table 3. Linear mixed model (LMM) change in body composition from age 20 <br />
years for each age decade of men<br />
---------------------------------------------------<br />
Age decade (years) Body mass (kg) Fat mass (kg) Fat-free mass (kg) BMI <br />
(kg/m2) Percentage of fat<br />
---------------------------------------------------<br />
Age 20* 72·72 9·14 64·09 22·83 13·20<br />
20–29 5·05 3·75 1·11 1·38 3·25<br />
30–39 3·88 3·08 0·60 1·13 2·74<br />
40–49 2·71 2·42 0·09 0·87 2·23<br />
50–59 1·54 1·75 -0·42 0·62 1·72<br />
60–69 0·37 1·08 -0·94 0·37 1·21<br />
70–79 -0·80 0·42 -1·45 0·12 0·70<br />
80–89 -1·97 -0·25 -1·96 -0·13 0·19<br />
---------------------------------------------------<br />
   * LMM estimated value at age 20 years.<br />
<br />
Table 4 provides the maximum-likelihood estimates (ß, 95 % CI) of the ageing <br />
and physical activity models. A log-likelihood ratio test confirmed that <br />
adding activity to the quadratic age models improved the fit (P &lt; 0·0001) <br />
for all body composition components, but the effect for body and fat mass <br />
differed from that for fat-free mass. After controlling for age, each PAI <br />
regression coefficient for body mass and fat mass was statistically <br />
significant. Each PAI increase in physical activity was associated with a <br />
greater weight loss. The largest coefficients were for PAI levels 3 and 4. <br />
Body mass and fat mass regression weights for the PAI level 4 were <br />
identical, - 2·30, demonstrating that after controlling for age, men who <br />
walked or jogged =/&gt; 20 miles/week were approximately 5 pounds (2·3 kg) <br />
lighter than those who were inactive (PAI = 0). The body and fat mass of <br />
those active at the PAI 3 level was approximately 1·3 kg (approximately 2·9 <br />
pounds) lower than that of inactive men. The coefficients for PAI levels 1 <br />
and 2 were significant, but low, ranging from - 0·52 to - 0·69 kg. There was <br />
a significant PAI effect (P &lt; 0·001) for fat-free mass that was traced to <br />
the PAI levels 3 and 4. After controlling for age, the most active men (PAI <br />
=/&gt; 3) had less fat-free mass than inactive men, but the effect was small. <br />
The fat-free mass of those active at the PAI levels 3 and 4 was 0·16 kg <br />
(approximately 0·35 pounds) and 0·26 kg (approximately 0·57 pounds), <br />
respectively, lower than those less active (PAI &lt;/= 2).<br />
<br />
Table 4. Maximum-likelihood regression estimates for age and the level of <br />
aerobic exercise of men<br />
(Regression estimates and 95 % confidence intervals)<br />
---------------------------------------------------<br />
- ===Body mass Fat mass Fat-free mass<br />
Variables===b 95% CI P b 95% CI P b 95% CI P<br />
---------------------------------------------------<br />
Constant 59·3014 58·2146, 60·3883 &lt;0·0001 -0·0071 -1·0624, 0·9204 0·888 <br />
60·3089 59·485, 61·1321 &lt;0·0001<br />
Age 0·8245 0·7818, 0·8671 &lt;0·0001 0·5670 0·5271, 0·6069 &lt;0·0001 0·2414 <br />
0·2087, 0·2741 &lt;0·0001<br />
Age2 -0·0062 -0·0066, -0·0057 &lt;0·0001 -0·0036 -0·0040, -0·0032 <br />
&lt;0·0001 -0·0026 -0·0029, -0·0023 &lt;0·0001<br />
PAI 1 -0·5183 -0·6351, -0·4014 &lt;0·0001 -0·5567 -0·6687, -0·4447 &lt;0·0001 <br />
0·0055 -0·0843, 0·0953 0·905<br />
PAI 2 -0·5657 -0·6787, -0·4529 &lt;0·0001 -0·6940 -0·8021, -0·5858 &lt;0·0001 <br />
0·0518 -0·0351, 0·1388 0·243<br />
PAI 3 -1·3230 -1·4539, -1·1921 &lt;0·0001 -1·3023 -1·4273, -1·1773 <br />
&lt;0·0001 -0·15984 -0·2606, -0·0591 &lt;0·0001<br />
PAI 4 -2·3048 -2·4770, -2·1326 &lt;0·0001 -2·3005 -2·4643, -2·1367 <br />
&lt;0·0001 -0·2636 -0·3960, -0·1312 &lt;0·0001<br />
PAI, physical activity index.<br />
<br />
Discussion<br />
<br />
These longitudinal results confirmed that changes in body composition <br />
associated with healthy ageing were quadratic, but the trajectories of <br />
change differed. Fat mass increased with ageing and levelled off at <br />
approximately 70 years. Fat-free mass increased slightly between age 20 and <br />
47 years, and then steadily decreased at a non-linear rate with ageing. The <br />
modelled loss in fat-free mass between 50 and 89 years was 4 kg (10·5 <br />
pounds), and approximately 40 % of the loss was in the eighth decade. The <br />
ageing trajectory for body mass increased from age 20 to 60 years, levelled <br />
off and then decreased with ageing. The increase in body mass was primarily <br />
due to the increase in fat mass and the decline after age 70 years was due <br />
to the loss of fat-free mass. The ageing trajectories for BMI and percentage <br />
of fat were similar; they increased to about age 70 years and levelled off. <br />
Neither BMI nor percentage of fat identified the decline in fat-free mass <br />
with ageing. After about age 60 years, changes in percentage of fat became <br />
more of a function of the loss of fat-free mass than the increase in fat <br />
mass. In the eighth decade, percentage of fat increased by approximately 0·2 <br />
% and fat mass decreased by 0·25 kg. The increase in percentage of fat was <br />
due to the 1·96 kg (4·3 pounds) decrease in fat-free mass.<br />
<br />
A major strength of these ACLS results is the modelled ageing trajectories <br />
which were defined with data across the adult lifespan. Other <br />
investigators(15,16,19,20,35) using longitudinal data with restricted age <br />
ranges have reported fat-free mass decreases with ageing. Investigators of <br />
the Fels Longitudinal Study have reported that fat-free mass declined at a <br />
linear rate of 0·07 kg/year for men aged 40-66 years(20). The ACLS fat-free <br />
mass quadratic model estimated a similar rate of decline of 0·06 kg/year to <br />
the Fels data. Hughes et al.(16) reported that men lost an average of 1·1 kg <br />
of fat-free mass between the age of 61 and 71 years. The ACLS modelled <br />
fat-free mass loss between these ages was estimated to be 1·4 kg. Ding et <br />
al.(19) studied men aged 70-79 years and reported that fat-free mass <br />
measured with dual-energy X-ray absorptiometry (DXA) declined at a quadratic <br />
rate over the 6 years of serial testing. Similar to these ACLS findings, <br />
Fleg et al.(35) reported that fat-free mass remained stable at a young age, <br />
but started an accelerated decline at about age 50 years and that the <br />
age-related change in body composition was due to the rapid loss of fat-free <br />
mass with ageing. Interestingly, although the ACLS men examined in the <br />
present study were quite healthy relative to the cohorts examined in the <br />
previous literature(15,16,19,20,35), the rate and patterns of fat-free mass <br />
loss were quite comparable, supporting the fidelity and generalisability of <br />
the fat-free mass model.<br />
<br />
Cross-sectional and longitudinal results(15,36) suggest that the age-related <br />
decline in fat-free mass was largely a function of the loss of appendicular <br />
muscle mass. Gallagher et al.(15) examined appendicular muscle mass loss of <br />
men after age 60 years using regional body composition estimates obtained <br />
with DXA. They reported that the 5-year decline in total DXA fat-free mass <br />
was 1·4 kg. The DXA regional measures defined the loss of total appendicular <br />
muscle mass at 0·8 kg, of which 0·7 kg was the loss of leg muscle mass. <br />
Janssen et al.(36) reported a cross-sectional quadratic ageing decline in <br />
skeletal muscle mass measured by MRI. The reported decline in the lower body <br />
muscle mass of 0·063 kg/year was over two times greater than the upper body <br />
loss of 0·029 kg/year.<br />
<br />
These ACLS results showed that aerobic exercise was associated with a lower <br />
fat-free mass than that of inactive men, but the effect was small and <br />
consistent with longitudinal and cross-sectional data(17,37). There is <br />
evidence that physical activity attenuates weight loss in older individuals. <br />
Stephen &amp; Janssen(38) reported that the weight of older individuals who were <br />
active at their initial visit was lower than those who were inactive, but <br />
over the 8 years of follow-up, the active individuals lost 2·4 kg less <br />
weight than those who were inactive. The age-related weight-loss trajectory <br />
of those who did not survive to the 9th year of follow-up was steeper than <br />
the survivors. Dziura et al.(39) reported that the loss of weight in older <br />
individuals (&gt;65 years) increased with ageing, but increases in exercise <br />
frequency attenuated the rate of decline. The weight-loss trajectory of <br />
those who did not survive the 12 years of follow-up was steeper than the <br />
survivors. Flicker et al.(40) reported that in 10 years of follow-up, older <br />
men ( =/&gt; 70 years) who were sedentary had a 28 % higher risk of all-cause <br />
mortality than men who reported they walked or jogged.<br />
<br />
These ACLS findings show that aerobic exercise does not prevent the loss of <br />
fat-free mass. Fleg et al.(35) suggest that strength training is needed to <br />
preserve the fat-free mass of older individuals. In a review of eighteen <br />
studies, Doherty(22) reported that the median knee extensor strength of men <br />
aged =/&gt; 70 years was 67·5 % of a young adult referent group and resistance <br />
training was effective in increasing the strength of older people. <br />
Doherty(22) reported that the one-repetition maximum strength gains produced <br />
with resistance training ranged from 26 to 152 % (median 39 %) for thirteen <br />
studies of men and women, aged 60 years and older. These results suggest <br />
that while aerobic exercise does not influence the loss of fat-free mass <br />
associated with ageing, resistance training may.<br />
<br />
The physiological basis for using BMI to evaluate body composition is based <br />
on moderate correlations (r approximately 0·60) between BMI and percentage <br />
of body fat(41). The wide use of BMI to evaluate body composition is <br />
probably due to the availability of body mass and height data in a variety <br />
of research settings. While BMI has been shown to predict the risk of <br />
all-cause mortality in the general population(11-14), its fidelity with <br />
older populations is dubious. There is evidence that BMI does not predict <br />
mortality risk within individuals aged =/&gt; 70 years unless they were also <br />
obese at age 50 years or younger(40,42,43). An earlier report(44) from the <br />
ACLS showed that BMI and body composition were associated with higher <br />
mortality risk in women and men aged =/&gt; 60 years. However, in this report, <br />
the associations with BMI and body composition were eliminated after <br />
adjusting for cardiorespiratory fitness. The present findings from the ACLS <br />
demonstrated that the stability of BMI and percentage of fat of healthy <br />
older men masked changes in body composition, largely due to the non-linear <br />
decline in fat-free mass with ageing. These results are consistent with <br />
research showing that the stable body mass of older individuals of a <br />
restricted age range masked changes in fat mass and fat-free mass <br />
components(15-18).<br />
<br />
An important finding of the present study is that the modelled ageing change <br />
in fat-free mass was not detected by modelled changes in BMI and percentage <br />
of body fat. What is unanswered is the association between the loss of <br />
fat-free mass and the risk of sarcopenia. The diagnostic criteria for <br />
age-related sarcopenia include both low muscle mass and low muscle function <br />
involving both strength and performance(45). While muscle makes up the <br />
majority of the fat-free mass body compartment of these ACLS data, it also <br />
includes organs and bone. Most of the loss in fat-free mass with ageing is <br />
due to skeletal muscle, but would also include contributions from organs and <br />
bone. Sarcopenia is a growing health risk associated with functional <br />
impairment and physical disability in ageing populations(22-25). These ACLS <br />
results suggest that age-related changes in fat-free mass may be a valid <br />
screening tool to identify individuals at risk of sarcopenia, but awaits <br />
validation research.<br />
<br />
The major strength of the present study was the use of a very large sample <br />
of healthy men ranging in age from 20 to 96 years with multiple body <br />
composition measures over time. The multiple data points allowed us to <br />
define longitudinal changes in body composition representative of healthy <br />
ageing across the adult age range of men. The LMM is an ideal statistical <br />
method to model longitudinal data where subjects have a different number of <br />
tests at different times because it accommodates unbalanced and unequally <br />
spaced observations over time(33,34).<br />
<br />
A limitation of the study was that percentage of fat was measured by two <br />
different methods. Post hoc analysis showed that there was a significant <br />
intercept difference (P &lt; 0·001) between the underwater weighing and <br />
skinfold methods. The underwater weighing measure was systematically lower <br />
than the skinfold estimate, but the effect was small, - 0·13 % fat (95 % <br />
CI - 0·20, - 0·06). An examination of the skinfold and underwater residuals <br />
(measured - estimated percentage of fat) showed that the distributions of <br />
the skinfold and underwater weighing residuals were similar and normally <br />
distributed. The means and standard deviations of the residuals were - 0·029 <br />
(sd 2·839) and 0·034 (sd2·610) for the underwater weighing and skinfold <br />
methods. An examination of the bivariate distribution (data not shown) <br />
showed that the residuals for both methods were evenly distributed across <br />
age, supporting the validity of the underwater and skinfold methods.<br />
<br />
The findings of the present study can only be generalised to the LMM fixed <br />
effects of ageing and self-report physical activity for a sample <br />
representative of healthy ageing. The models accurately define the ageing <br />
changes in body composition for a population of men, but lack accuracy in <br />
defining the changes in individuals. There are variables other than ageing <br />
and activity that influence weight change over time (e.g. variation in <br />
diet). Intra-class analyses(33) of the body mass LMM variance components <br />
found that 94 % of the body mass variance was not explained by ageing and <br />
self-report aerobic exercise, but by other sources of variability within men <br />
over time.<br />
<br />
In summary, the relationship between ageing and body composition of healthy <br />
men is quadratic. The increase in body mass from age 20 to approximately 70 <br />
years is primarily due to increases in fat mass and the decrease after age <br />
70 years is associated with the loss of fat-free mass. Aerobic exercise has <br />
a positive influence on lowering fat mass, but does not prevent the loss of <br />
fat free mass with ageing. Neither BMI nor percentage of fat was sensitive <br />
in detecting the age-related loss of fat-free mass. Using BMI or percentage <br />
of fat to evaluate changes in body composition of older men masks the loss <br />
of fat-free mass associated with ageing of healthy men.<br />
<br />
-- Al Pater, alpater@SHAW.ca <br />
<br />
<br />
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      <category>CRCOMMUNITY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?3,209728,209728#msg-209728</guid>
      <pubDate>Wed, 16 May 2012 14:10:11 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb The DHA-deprived animalswere slower</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209727#msg-209727</link>
      <author>Michael Rae</author>
      <description><![CDATA[All:<br />
<br />
jwwright wrote:<br />
&gt; &quot;Michael Rae&quot; &lt;mikalra@cadvision.com&gt;<br />
&gt;&gt; jwwright wrote:<br />
&gt;&gt;&gt; page 856, 9th ed, Guyton's Medical Physiology,<br />
&gt;&gt;&gt; Indicates 80 % of carbohydrate digestion is glucose.<br />
&gt;&gt;&gt;<br />
&gt;&gt;&gt; I think that's different from the already digested HFCS, which can vary<br />
&gt;&gt;&gt; but is about 55% fructose.<br />
&gt;&gt;<br />
&gt;&gt; That *seems* to be gibberish. What exactly are you saying (or,<br />
&gt;&gt; perhaps: what exactly does Guyton say)?<br />
<br />
&gt; 1) I'm saying sugar (sucrose) is NOT glucose and fructose until after<br />
&gt; digestion.<br />
<br />
Of course.<br />
<br />
&gt; 2) HFCS is already digested to those, perhaps useful to those with<br />
&gt; impaired digestion.<br />
<br />
I doubt that any but a tiny fraction of the population would have any <br />
difficulty hydrolyzing sucrose.<br />
<br />
&gt; 3) Guyton doesn't comment on the HFCS process as near as I can find, it<br />
&gt; covers carbohydrate metabolism.<br />
&gt;<br />
&gt; &quot;In general, the starches are almost totally<br />
&gt; converted into maltose and other very small glucose<br />
&gt; polymers before they have passed beyond the duodenum<br />
&gt; or upper jejunum.&quot; pg 834.<br />
&gt; &quot;Thus the final products of carbohydrate digestion<br />
&gt; are all monosaccharides, and they are absorbed into<br />
&gt; the portal blood.&quot;<br />
<br />
Right. But what you said was, &quot;Guyton ...  Indicates 80 % of <br />
*carbohydrate* digestion is glucose&quot;. STARCHES are polymers entirely <br />
composed of glucose, so of course it's broken down into maltose and <br />
other glucose polymers and ultimately monosaccharide (glucose); but <br />
sucrose is glucose bound to fructose, and so certainly isn't digested <br />
into glucose!<br />
&gt;<br />
&gt; Glucose, Fructose and galactose entering the blood go thru the liver and:<br />
&gt; &quot;In liver cells, appropriate enzymes are available to promote<br />
&gt; interconversions among the monosaccharides, as shown in figure 67-2.<br />
<br />
Also true, but as Lustig has been very loudly highlighting, it's exactly <br />
what happens in the liver that makes excess fructose (including sucrose <br />
as a fructose-containing disaccharide, and HFCS as a fructose-containing <br />
blend of sugar monomers) play metabolic havoc.<br />
<br />
<br />
-Michael<br />
<br />
-- <br />
SENS: The biotechnologies of rejuvenation. See the outline &lt; <br />
http://tinyurl.com/SENS-outline&gt;; learn the detailed science! &lt; <br />
http://tinyurl.com/End-Aging&gt;<br />
<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209714,209727#msg-209727</guid>
      <pubDate>Wed, 16 May 2012 14:01:31 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb The DHA-deprived animalswere slower</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209726#msg-209726</link>
      <author>jwwright</author>
      <description><![CDATA[----- Original Message ----- <br />
From: &quot;Michael Rae&quot; &lt;mikalra@cadvision.com&gt;<br />
To: &quot;The CR Society Main Discussion List&quot; <br />
&lt;cr@lists.calorierestriction.org&gt;<br />
Sent: Wednesday, May 16, 2012 9:59 AM<br />
Subject: Re: [CR] Headline: Sugar Can Make You Dumb <br />
The DHA-deprived animalswere slower<br />
<br />
<br />
&gt; All:<br />
&gt;<br />
&gt; jwwright wrote:<br />
&gt;&gt; page 856, 9th ed, Guyton's Medical Physiology,<br />
&gt;&gt; Indicates 80 % of carbohydrate digestion is <br />
&gt;&gt; glucose.<br />
&gt;&gt;<br />
&gt;&gt; I think that's different from the already <br />
&gt;&gt; digested HFCS, which can vary<br />
&gt;&gt; but is about 55% fructose.<br />
&gt;<br />
&gt; That *seems* to be gibberish. What exactly are you <br />
&gt; saying (or, perhaps: what exactly does Guyton <br />
&gt; say)?<br />
&gt;<br />
&gt; -Michael<br />
&gt;<br />
<br />
1) I'm saying sugar (sucrose) is NOT glucose and <br />
fructose until after digestion.<br />
2) HFCS is already digested to those, perhaps useful <br />
to those with impaired digestion.<br />
3) Guyton doesn't comment on the HFCS process as <br />
near as I can find, it covers carbohydrate <br />
metabolism.<br />
<br />
&quot;In general, the starches are almost totally<br />
converted into maltose and other very small glucose<br />
polymers before they have passed beyond the duodenum<br />
or upper jejunum.&quot; pg 834.<br />
&quot;Thus the final products of carbohydrate digestion<br />
are all monosaccharides, and they are absorbed into<br />
the portal blood.&quot;<br />
<br />
Glucose, Fructose and galactose entering the blood <br />
go thru the liver and:<br />
&quot;In liver cells, appropriate enzymes are available <br />
to promote interconversions among the <br />
monosaccharides, as shown in figure 67-2. <br />
Furthermore, the dynamics of the reactions are such <br />
that when the liver releases the monosaccharides <br />
back into the blood, the final product is almost <br />
entirely glucose.<br />
The reason for this is the liver cells contain large <br />
amounts of glucose phosphatase. Therefore, <br />
glucose-6-phosphate can be degraded back to glucose <br />
and phosphate and the glucose can be transported <br />
through the liver membrane back into the blood.&quot;<br />
&quot;Once again it should be emphasized that usually <br />
more than 95 % of all monosaccharides that circulate <br />
in the blood are the final conversion product, <br />
glucose.&quot;<br />
<br />
Additionally, glucose is aided by protein carrier <br />
molecules which take it across cell membranes and <br />
released. pg 856,<br />
&quot;Central Role of Glucose in Carbohydrate <br />
Metabolism.&quot;<br />
<br />
http://www.sugar-and-sweetener-guide.com/hfcs-55.html<br />
&quot;HFCS-55 is a form of high fructose corn syrup that <br />
contains 55% fructose. It is produced from corn <br />
starch. It is the most commonly used of the three <br />
formulations. It is added to most sodas instead of <br />
sugar in the United States. It is about 25% sweeter <br />
than sugar, which means that less of it is needed.&quot;<br />
<br />
<br />
<br />
<br />
A typical breakdown would be:<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
<br />
      Sugar Percentage<br />
      Fructose 55%<br />
      Glucose 41%<br />
      Maltose 4%<br />
<br />
<br />
<br />
<br />
http://www.princeton.edu/main/news/archive/S26/91/22K07/<br />
A sweet problem: Princeton researchers find that <br />
high-fructose corn syrup prompts considerably more <br />
weight gain<br />
So it's a question of digestion AND absorption, <br />
where and when, and how much.<br />
<br />
Regards <br />
<br />
<br />
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The message was checked by ESET NOD32 Antivirus.<br />
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      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209714,209726#msg-209726</guid>
      <pubDate>Wed, 16 May 2012 13:36:45 -0400</pubDate>
    </item>
    <item>
      <title>[CRSOCIETY] Re: Headline: Sugar Can Make You Dumb The DHA-deprived animals were slower</title>
      <link>http://arc.crsociety.org/read.php?2,209714,209725#msg-209725</link>
      <author>Michael Rae</author>
      <description><![CDATA[All:<br />
<br />
jwwright wrote:<br />
&gt; page 856, 9th ed, Guyton's Medical Physiology,<br />
&gt; Indicates 80 % of carbohydrate digestion is glucose.<br />
&gt;<br />
&gt; I think that's different from the already digested HFCS, which can vary<br />
&gt; but is about 55% fructose.<br />
<br />
That *seems* to be gibberish. What exactly are you saying (or, perhaps: <br />
what exactly does Guyton say)?<br />
<br />
-Michael<br />
<br />
-- <br />
SENS: The biotechnologies of rejuvenation. See the outline &lt; <br />
http://tinyurl.com/SENS-outline&gt;; learn the detailed science! &lt; <br />
http://tinyurl.com/End-Aging&gt;<br />
<br />
_______________________________________________<br />
The CR Society List Rules require that list users respect the U.S. copyright law and regulations.<br />
<br />
CR@lists.calorierestriction.org<br />
To change CR mailing list settings or unsubscribe:<br />
http://lists.calorierestriction.org/mailman/listinfo/cr_lists.calorierestriction.org]]></description>
      <category>CRSOCIETY</category>
      <guid isPermaLink="true">http://arc.crsociety.org/read.php?2,209714,209725#msg-209725</guid>
      <pubDate>Wed, 16 May 2012 11:59:33 -0400</pubDate>
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