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mercredi 29 janvier 2014

Is your physician able to explain a healthy diet?

What is your physician diet?

Very disturbing, US physicians are not on the healthy tracks.

Measure them it's free and more predictive than BMI

Waist circumference and waist/hip ratio are better predictive risk factors for mortality and morbidity after colorectal surgery than body mass index and body surface area.

Ann Surg.  2013; 258(5):722-30 (ISSN: 1528-1140)

Kartheuser AH; Leonard DF; Penninckx F; Paterson HM; Brandt D; Remue C; Bugli C; Dozois E; Mortensen N; Ris F; Tiret E;  
OBJECTIVES: To determine whether body fat distribution, measured by waist circumference (WC) and waist/hip ratio (WHR), is a better predictor of mortality and morbidity after colorectal surgery than body mass index (BMI) or body surface area (BSA).
BACKGROUND: Obesity measured by BMI is not a consistent risk factor for postoperative mortality and morbidity after abdominal surgery. Studies in metabolic and cardiovascular diseases have shown WC and WHR to be better outcome predictors than BMI.
METHODS: A prospective multicenter international study was conducted among patients undergoing elective colorectal surgery. The WHR, BMI, and BSA were derived from body weight, height, and waist and hip circumferences measured preoperatively. Uni- and multivariate analyses were performed to identify risk factors for postoperative outcomes.
RESULTS: A total of 1349 patients (754 men) from 38 centers in 11 countries were included. Increasing WHR significantly increased the risk of conversion [odds ratio (OR) = 15.7, relative risk (RR) = 4.1], intraoperative complications (OR = 11.0, RR = 3.2), postoperative surgical complications (OR = 7.7, RR = 2.0), medical complications (OR = 13.2, RR = 2.5), anastomotic leak (OR = 13.7, RR = 3.3), reoperations (OR = 13.3, RR = 2.9), and death (OR = 653.1, RR = 21.8). Both BMI (OR = 39.5, RR = 1.1) and BSA (OR = 4.9, RR = 3.1) were associated with an increased risk of abdominal wound complication. In multivariate analysis, the WHR predicted intraoperative complications, conversion, medical complications, and reinterventions, whereas BMI was a risk factor only for abdominal wall complications; BSA did not reach significance for any outcome.
CONCLUSIONS: The WHR is predictive of adverse events after elective colorectal surgery. It should be used in routine clinical practice and in future risk-estimating systems.

mardi 28 janvier 2014

Eat plenty of animal protein but avoid antibiotics

Safe starches: igname

Biocides and the risks of unknown low level chronic exposure

Hunter gatherers in Europe

Derived immune and ancestral pigmentation alleles in a 7,000-year-old Mesolithic European

Published online
Ancient genomic sequences have started to reveal the origin and the demographic impact of farmers from the Neolithic period spreading into Europe123. The adoption of farming, stock breeding and sedentary societies during the Neolithic may have resulted in adaptive changes in genes associated with immunity and diet4. However, the limited data available from earlier hunter-gatherers preclude an understanding of the selective processes associated with this crucial transition to agriculture in recent human evolution. Here we sequence an approximately 7,000-year-old Mesolithic skeleton discovered at the La Braña-Arintero site in León, Spain, to retrieve a complete pre-agricultural European human genome. Analysis of this genome in the context of other ancient samples suggests the existence of a common ancient genomic signature across western and central Eurasia from the Upper Paleolithic to the Mesolithic. The La Braña individual carries ancestral alleles in several skin pigmentation genes, suggesting that the light skin of modern Europeans was not yet ubiquitous in Mesolithic times. Moreover, we provide evidence that a significant number of derived, putatively adaptive variants associated with pathogen resistance in modern Europeans were already present in this hunter-gatherer.

They lived there

lundi 27 janvier 2014

EPA AND DHA are anti-inflammatory PUFA

The novel 13S,14S-epoxy-maresin is converted by human macrophages to maresin 1 (MaR1), inhibits leukotriene A4hydrolase (LTA4H), and shifts macrophage phenotype

  1. Charles N. Serhan*,1
+Author Affiliations
  1. *Center for Experimental Therapeutics and Reperfusion Injury, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA;
  2. Department of Chemistry and
  3. Loker Hydrocarbon Research Institute, University of Southern California, Los Angeles, California, USA; and
  4. §Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
  1. 1Correspondence: C.N.S., Harvard Institutes of Medicine, 77 Ave. Louis Pasteur, HIM 829, Boston, MA 02115, USA. E-mail:; N.A.P., University of Southern California, 837 Bloom Walk, LHI 219, Los Angeles, CA 90089, USA. E-mail:


Maresins are produced by macrophages from docosahexaenoic acid (DHA) and exert potent proresolving and tissue homeostatic actions. Maresin 1 (MaR1; 7R,14S-dihydroxy-docosa-4Z,8E,10E,12Z,16Z,19Z-hexaenoic acid) is the first identified maresin. Here, we investigate formation, stereochemistry, and precursor role of 13,14-epoxy-docosahexaenoic acid, an intermediate in MaR1 biosynthesis. The 14-lipoxygenation of DHA by human macrophage 12-lipoxygenase (hm12-LOX) gave 14-hydro(peroxy)-docosahexaenoic acid (14-HpDHA), as well as several dihydroxy-docosahexaenoic acids, implicating an epoxide intermediate formation by this enzyme. Using a stereo-controlled synthesis, enantiomerically pure 13S,14S-epoxy-docosa-4Z,7Z,9E,11E,16Z,19Z-hexaenoic acid (13S,14S-epoxy-DHA) was prepared, and its stereochemistry was confirmed by NMR spectroscopy. When this 13S,14S-epoxide was incubated with human macrophages, it was converted to MaR1. The synthetic 13S,14S-epoxide inhibited leukotriene B4 (LTB4) formation by human leukotriene A4 hydrolase (LTA4H) ∼40% (P<0 .05="" a="" as="" extent="" lta="" similar="" style="border: 0px; font-family: inherit; font-size: 0.85em; font-style: inherit; line-height: 0; margin: 0px; outline-style: none; padding: 0px; text-align: inherit;" sub="" to="">4
 (∼50%, P<0 .05="" 13="" but="" by="" converted="" em="" enzyme.="" mar1="" not="" style="border: 0px; font-family: inherit; font-size: inherit; line-height: inherit; margin: 0px; outline-style: none; padding: 0px; text-align: inherit; vertical-align: baseline;" this="" to="" was="">S,14S-epoxy-DHA also reduced (∼60%;P<0 .05="" 13="" acid="" and="" arachidonic="" biosynthesis="" by="" conversion="" em="" epoxide="" establish="" findings="" from="" hm12-lox="" m1.="" m1="" m2="" macrophages="" mar1="" more="" of="" phenotype="" produced="" promoted="" style="border: 0px; font-family: inherit; font-size: inherit; line-height: inherit; margin: 0px; outline-style: none; padding: 0px; text-align: inherit; vertical-align: baseline;" than="" the="" these="" to="" together="" which="">S,14S-epoxide, its absolute stereochemistry, its precursor role in MaR1 biosynthesis, and its own intrinsic bioactivity. Given its actions and role in MaR1 biosynthesis, this epoxide is now termed 13,14-epoxy-maresin (13,14-eMaR) and exhibits new mechanisms in resolution of inflammation in its ability to inhibit proinflammatory mediator production by LTA4 hydrolase and to block arachidonate conversion by human 12-LOX rather than merely terminating phagocyte involvement.—Dalli, J., Zhu, M., Vlasenko, N. A., Deng, B., Haeggström, J. Z., Petasis, N. A., Serhan, C. N. The novel 13S,14S-epoxy-maresin is converted by human macrophages to maresin 1 (MaR1), inhibits leukotriene A4 hydrolase (LTA4H) and shifts macrophage phenotype.

Your parents don't only give you their genes but their habits...

Paternal high-fat diet consumption induces common changes in the transcriptomes of retroperitoneal adipose and pancreatic islet tissues in female rat offspring

  1. Margaret J. Morris*,1

  1. *Department of Pharmacology, School of Medical Sciences, Ramaciotti Centre for Genomics, and School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia;
  2. §Department of Paediatrics, Faculty of Medicine, National University of Malaysia, Cheras, Kuala Lumpur, Malaysia; and
  3. School of Paediatrics and Reproductive Health, University of Adelaide, Adelaide, South Australia, Australia
  1. Correspondence: Department of Pharmacology, School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia, 2052.


We previously showed that paternal high-fat diet (HFD) consumption programs β-cell dysfunction in female rat offspring, together with transcriptome alterations in islets. Here we investigated the retroperitoneal white adipose tissue (RpWAT) transcriptome using gene and pathway enrichment and pathway analysis to determine whether commonly affected network topologies exist between these two metabolically related tissues. In RpWAT, 5108 genes were differentially expressed due to a paternal HFD; the top 5 significantly enriched networks identified by pathway analysis in offspring of HFD fathers compared with those of fathers fed control diet were: mitochondrial and cellular response to stress, telomerase signaling, cell death and survival, cell cycle, cellular growth and proliferation, and cancer. A total of 187 adipose olfactory receptor genes were down-regulated. Interrogation against the islet transcriptome identified specific gene networks and pathways, including olfactory receptor genes that were similarly affected in both tissues (411 common genes, P<0 .05="" a="" and="" cancer="" cell="" common="" cycle="" em="" gene="" highlight="" hub="" in="" molecular="" nbsp="" network="" particular="" same="" style="border: 0px; font-family: inherit; font-size: inherit; line-height: inherit; margin: 0px; outline-style: none; padding: 0px; text-align: inherit; vertical-align: baseline;" the="" we="" with="">Myc
, suggesting early onset developmental changes that persist, shared responses to programmed systemic factors, or crosstalk between tissues. Thus, paternal HFD consumption triggers unique gene signatures, consistent with premature aging and chronic degenerative disorders, in both RpWAT and pancreatic islets of daughters.—Ng, S.-F., Lin, R. C., Maloney, C. A., Youngson, N. A., Owens, J. A., Morris, M. J. Paternal high-fat diet consumption induces common changes in the transcriptomes of retroperitoneal adipose and pancreatic islet tissues in female rat offspring.

Mangez du gras! Eat fats


Noix de Coco et graisse de coco

Olives noires mures ou très peu saléesAmandes, noix de Grenoble, noisettes, nois du Brésil, noix de Macadamia 
Beurre cru

Moelle des os longs

Veau, boeuf et agneau à l'herbe

Tous les poissons gras sauvages

Toutes ces bonnes graisses doivent être mangées crues ou cuites à moins de 70°...
You can cook but don't heat above 70° Celsius

Pour cela il vous faut un four à basse temperature
A low temp oven is mandatory!

dimanche 26 janvier 2014

Keep your protein status in the upper quartile!

Some arguments about paleodiet

Increase your own vitamin D production

New effects of DHA on de novo lipid synthesis

More on low carb diets

Low carb in human clinical trials

Low carb clinical trial from Harvard

Testing 1-2-3-4
What mix of carbohydrate, fat, and protein should people eat in order to lose weight, keep it off, and stay healthy? HSPH’s diet study will examine four possibilities.
15% Protein
20% Fat
65% Carbohydrates
25% Protein
20% Fat
55% Carbohydrates
15% Protein
40% Fat
45% Carbohydrates
25% Protein
40% Fat
35% Carbohydrates

vendredi 24 janvier 2014

It is a correlation but it is amazing

  • Article

Higher RBC EPA + DHA corresponds with larger total brain and hippocampal volumes


  1. William S. Harris, PhD
  1. From the Department of Internal Medicine (J.V.P., W.S.H.), Sanford School of Medicine, University of South Dakota, Sioux Falls; Health Diagnostic Laboratory Inc. (J.V.P., W.S.H.), Richmond, VA; Department of Psychiatry (K.Y.), University of California Medical Center, San Francisco; Departments of Epidemiology and Internal Medicine (J.R., R.W.), University of Iowa College of Public Health, Iowa City; Department of Biostatistical Services (M.A.E.), Wake Forest School of Medicine, Winston-Salem, NC; and OmegaQuant Analytics (W.S.H.), Sioux Falls, SD.
  1. Correspondence to Dr. Pottala: