Consumers of organic products in France: first results of the Nutrinet-Santé cohort

Lifestyle, dietary patterns and nutritional status of organic food consumers have rarely been described, while interest for a sustainable diet is markedly increasing. Consumer attitude and frequency of use of 18 organic products were assessed in 54,311 adult participants in the Nutrinet-Santé cohort. Cluster analysis was performed to identify behaviors associated with organic product consumption. Cross-sectional association with overweight/obesity was estimated using polytomous logistic regression. Five clusters were identified: 3 clusters of non-consumers (35%) whose reasons differed, occasional (OCOP, 51%) and regular (RCOP, 14%) organic product consumers. RCOP were more highly educated and physically active than others. They exhibited dietary patterns with more plant foods and less sweet and alcoholic beverages, processed meat or milk. Their nutrient intake profiles (fatty acids, most minerals and vitamins, fibers) were healthier and closer to dietary guidelines. In multivariate models (after accounting for confounders, including level of adherence to nutritional guidelines), compared to those not interested in organic products, RCOP participants showed a markedly lower probability of overweight (excluding obesity) and obesity :-36% and -62% in men and -42% and -48% in women, respectively (P<0.0001). OCOP participants generally showed intermediate figures. In conclusion, regular consumers of organic products exhibit specific socio-demographic characteristics, and an overall healthy profile

Two Novel Methods For The Determination Of The Number Of Components In Independent Components Analysis Models

Independent Components Analysis is a Blind Source Separation method that aims to find the pure source signals mixed together in unknown proportions in the observed signals under study. It does this by searching for factors which are mutually statistically independent. It can thus be classified among the latent-variable based methods. Like other methods based on latent variables, a careful investigation has to be carried out to find out which factors are significant and which are not. Therefore, it is important to dispose of a validation procedure to decide on the optimal number of independent components to include in the final model. This can be made complicated by the fact that two consecutive models may differ in the order and signs of similarly-indexed ICs. As well, the structure of the extracted sources can change as a function of the number of factors calculated. Two methods for determining the optimal number of ICs are proposed in this article and applied to simulated and real datasets to demonstrate their performance

The Effect of ACACB cis-Variants on Gene Expression and Metabolic Traits

Acetyl Coenzyme A carboxylase β (ACACB) is the rate-limiting enzyme in fatty acid oxidation, and continuous fatty acid oxidation in Acacb knock-out mice increases insulin sensitivity. Systematic human studies have not been performed to evaluate whether ACACB variants regulate gene expression and insulin sensitivity in skeletal muscle and adipose tissues. We sought to determine whether ACACB transcribed variants were associated with ACACB gene expression and insulin sensitivity in non-diabetic African American (AA) and European American (EA) adults.ACACB transcribed single nucleotide polymorphisms (SNPs) were genotyped in 105 EAs and 46 AAs whose body mass index (BMI), lipid profiles and ACACB gene expression in subcutaneous adipose and skeletal muscle had been measured. Allelic expression imbalance (AEI) was assessed in lymphoblast cell lines from heterozygous subjects in an additional EA sample (n = 95). Selected SNPs were further examined for association with insulin sensitivity in a cohort of 417 EAs and 153 AAs.ACACB transcribed SNP rs2075260 (A/G) was associated with adipose ACACB messenger RNA expression in EAs and AAs (p = 3.8×10(-5), dominant model in meta-analysis, Stouffer method), with the (A) allele representing lower gene expression in adipose and higher insulin sensitivity in EAs (p = 0.04). In EAs, adipose ACACB expression was negatively associated with age and sex-adjusted BMI (r = -0.35, p = 0.0002).Common variants within the ACACB locus appear to regulate adipose gene expression in humans. Body fat (represented by BMI) may further regulate adipose ACACB gene expression in the EA population

Polyunsaturated fatty acids for the primary and secondary prevention of cardiovascular disease

Background: Evidence on the health effects of total polyunsaturated fatty acids (PUFA) is equivocal. Fish oils are rich in omega-3 PUFA and plant oils in omega-6 PUFA. Evidence suggests increasing PUFA-rich foods, supplements or supplemented foods can reduce serum cholesterol, but may increase body weight, so overall cardiovascular effects are unclear. Objectives: To assess effects of increasing PUFA intake on cardiovascular disease (CVD) and all-cause mortality in adults. Search method: We searched CENTRAL, MEDLINE and Embase to April 2017 and ClinicalTrials.com and World Health Organization International Clinical Trials Registry Platform to September 2016, without language restrictions. We checked trials included in relevant systematic reviews. Selection criteria: We included randomised controlled trials (RCTs) comparing higher with lower PUFA intakes in adults with or without CVD that assessed effects over ≥12 months. We included full-text, abstracts, trials registry entries and unpublished data. Outcomes were all-cause mortality, CVD mortality and events, risk factors (blood lipids, adiposity, blood pressure), and adverse events. We excluded trials where we could not separate effects of PUFA intake from other dietary, lifestyle or medication interventions. Data collection and analysis: Two authors independently screened titles/abstracts, assessed trials for inclusion, extracted data, and assessed risk of bias. We wrote to authors of included studies for further data. Meta-analyses used random-effects analysis, sensitivity analyses included fixed-effects and limiting to low summary risk of bias. We assessed GRADE quality of evidence. Main result: We included 49 RCTs randomising 24,272 participants, with duration of one to eight years. Twelve included trials were at low summary risk of bias, 33 recruited participants without cardiovascular disease. Baseline PUFA intake was unclear in most trials, but 3.9% to 8% of total energy intake where reported. Most trials gave supplemental capsules, but eight gave dietary advice, eight gave supplemental foods such as nuts or margarine, and three used a combination of methods to increase PUFA. Increasing PUFA intake probably has little or no effect on all-cause mortality (risk 3.4% vs 3.3% in primary prevention, 11.7% vs 11.5% in secondary prevention, risk ratio (RR) 0.98, 95% confidence interval (CI) 0.89 to 1.07, 24 trials in 19290 participants), but probably reduces risk of CVD events from 5.8% to 4.9% in primary prevention, 23.3% to 20.8% in secondary prevention (RR 0.89, 95% CI 0.79 to 1.01, 20 trials in 17,073 participants), both moderate quality evidence. Increasing PUFA may reduce risk of CHD events from 13.4% to 7.1% primary prevention, 14.3% to 13.7% secondary prevention (RR 0.87, 95% CI 0.72 to 1.06, 15 trials, 10,076 participants), CHD death (5.2% to 4.4% primary prevention, 6.8% to 6.1% secondary prevention, RR 0.91, 95% CI 0.78 to 1.06, 9 trials, 8810 participants) and may slightly reduce stroke risk (2.1% to 1.5% primary prevention, RR 0.91, 95% CI 0.58 to 1.44, 11 trials, 14,742 participants), but has little or no effect on cardiovascular mortality (RR 1.02, 95% CI 0.82 to 1.26, I2 31%, 16 trials, 15,107 participants) all low quality evidence. Effects of increasing PUFA on major adverse cardiac and cerebrovascular events and atrial fibrillation are unclear as evidence is of very low quality. Event outcomes were all downgraded for indirectness, as most events occurred in men in westernised countries. Increasing PUFA intake reduces total cholesterol (MD -0.12 mmol/L, 95% CI -0.23 to -0.02, I2 79%, 8072 participants, 26 trials) and probably decreases triglycerides (TG, MD -0.12 mmol/L, 95% CI -0.20 to -0.04, I2 50%, 3905 participants, 20 trials), but has little or no effect on HDL (MD -0.01 mmol/L, 95% CI -0.02 to 0.01, I2 0%, 4674 participants, 18 trials) and LDL (MD -0.01 mmol/L, 95% CI -0.09 to 0.06, I2 44%, 3362 participants, 15 trials). Increasing PUFA probably causes slight weight gain (MD 0.76 kg, 95% CI 0.34 to 1.19, I2 59%, 7100 participants, 12 trials). Effects of increasing PUFA on serious adverse events such as pulmonary embolism and bleeding are unclear as the evidence is of very low quality. Authors' conclusions: Increasing PUFA intake probably reduces risk of CVD events, may reduce risk of CHD events and CHD mortality,and may slightly reduce stroke risk, but has little or no effect on all-cause or CVD mortality. The mechanism may be via lipid reduction, but increasing PUFA probably slightly increases weight

Omega-3 fatty acids for the primary and secondary prevention of cardiovascular disease

Background: Researchers have suggested that omega-3 polyunsaturated fatty acids from oily fish (long-chain omega-3 (LCn3), including eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)), as well as from plants (alpha-linolenic acid (ALA)) benefit cardiovascular health. Guidelines recommend increasing omega-3-rich foods, and sometimes supplementation, but recent trials have not confirmed this. Objectives: To assess effects of increased intake of fish- and plant-based omega-3 for all-cause mortality, cardiovascular (CVD) events, adiposity and lipids. Search methods: We searched CENTRAL, MEDLINE and Embase to April 2017, plus ClinicalTrials.gov and World Health Organization International Clinical Trials Registry to September 2016, with no language restrictions. We handsearched systematic review references and bibliographies and contacted authors. Selection criteria: We included randomised controlled trials (RCTs) that lasted at least 12 months and compared supplementation and/or advice to increase LCn3 or ALA intake versus usual or lower intake. Data collection and analysis: Two review authors independently assessed studies for inclusion, extracted data and assessed validity. We performed separate random-effects meta-analysis for ALA and LCn3 interventions, and assessed dose-response relationships through meta-regression. Main results: We included 79 RCTs (112,059 participants) in this review update and found that 25 were at low summary risk of bias. Trials were of 12 to 72 months' duration and included adults at varying cardiovascular risk, mainly in high-income countries. Most studies assessed LCn3 supplementation with capsules, but some used LCn3- or ALA-rich or enriched foods or dietary advice compared to placebo or usual diet. Meta-analysis and sensitivity analyses suggested little or no effect of increasing LCn3 on all-cause mortality (RR 0.98, 95% CI 0.90 to 1.03, 92,653 participants; 8189 deaths in 39 trials, high-quality evidence), cardiovascular mortality (RR 0.95, 95% CI 0.87 to 1.03, 67,772 participants; 4544 CVD deaths in 25 RCTs), cardiovascular events (RR 0.99, 95% CI 0.94 to 1.04, 90,378 participants; 14,737 people experienced events in 38 trials, high-quality evidence), coronary heart disease (CHD) mortality (RR 0.93, 95% CI 0.79 to 1.09, 73,491 participants; 1596 CHD deaths in 21 RCTs), stroke (RR 1.06, 95% CI 0.96 to 1.16, 89,358 participants; 1822 strokes in 28 trials) or arrhythmia (RR 0.97, 95% CI 0.90 to 1.05, 53,796 participants; 3788 people experienced arrhythmia in 28 RCTs). There was a suggestion that LCn3 reduced CHD events (RR 0.93, 95% CI 0.88 to 0.97, 84,301 participants; 5469 people experienced CHD events in 28 RCTs); however, this was not maintained in sensitivity analyses - LCn3 probably makes little or no difference to CHD event risk. All evidence was of moderate GRADE quality, except as noted. Increasing ALA intake probably makes little or no difference to all-cause mortality (RR 1.01, 95% CI 0.84 to 1.20, 19,327 participants; 459 deaths, 5 RCTs),cardiovascular mortality (RR 0.96, 95% CI 0.74 to 1.25, 18,619 participants; 219 cardiovascular deaths, 4 RCTs), and it may make little or no difference to CHD events (RR 1.00, 95% CI 0.80 to 1.22, 19,061 participants, 397 CHD events, 4 RCTs, low-quality evidence). However, increased ALA may slightly reduce risk of cardiovascular events (from 4.8% to 4.7%, RR 0.95, 95% CI 0.83 to 1.07, 19,327 participants; 884 CVD events, 5 RCTs, low-quality evidence), and probably reduces risk of CHD mortality (1.1% to 1.0%, RR 0.95, 95% CI 0.72 to 1.26, 18,353 participants; 193 CHD deaths, 3 RCTs), and arrhythmia (3.3% to 2.6%, RR 0.79, 95% CI 0.57 to 1.10, 4,837 participants; 141 events, 1 RCT). Effects on stroke are unclear. Sensitivity analysis retaining only trials at low summary risk of bias moved effect sizes towards the null (RR 1.0) for all LCn3 primary outcomes except arrhythmias, but for most ALA outcomes, effect sizes moved to suggest protection. LCn3 funnel plots suggested that adding in missing studies/results would move effect sizes towards null for most primary outcomes. There were no dose or duration effects in subgrouping or meta-regression. There was no evidence that increasing LCn3 or ALA altered serious adverse events, adiposity or lipids, although LCn3 slightly reduced triglycerides and increased HDL. ALA probably reduces HDL (high- or moderate-quality evidence). Authors' conclusions: This is the most extensive systematic assessment of effects of omega-3 fats on cardiovascular health to date. Moderate- and high-quality evidence suggests that increasing EPA and DHA has little or no effect on mortality or cardiovascular health (evidence mainly from supplement trials). Previous suggestions of benefits from EPA and DHA supplements appear to spring from trials with higher risk of bias. Low-quality evidence suggests ALA may slightly reduce CVD event risk, CHD mortality and arrhythmia

Epidémiologie de la peste en Provence (1720-1722) (nouvelle analyse biodémographique)

AIX-MARSEILLE2-BU Méd/Odontol. (130552103) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

Développement d'une nouvelle approche d'analyse des images spectroscopiques RMN (les images nosologiques)

Nous avons développé une nouvelle méthode non- invasive de caractérisation des tumeurs cérébrales basée sur l'utilisation de l'imagerie spectroscopique de résonance magnétique nucléaire du proton..Après avoir rappelé les bases de la spectroscopie RMN, nous présentons la procédure actuelle d'acquisition et de traitement des données brutes permettant l'obtention des images nosologiques. L'influence des différents paramètres sur la classification est ensuite étudiée afin de justifier l'évolution de la procédure de calcul des images nosologiques.L'utilisation de l'analyse linéaire discriminante ne permettant pas une bonne distinction entre les gliomes de haut- grade et les métastases, nous avons employé d'autres techniques de classifications supervisées (AQD, perceptron) et non supervisées (Cartes de Kohonen, fuzzy clusters.). Après avoir exposé le principe de ces méthodes et leur mise en œuvre dans cette étude, nous avons comparé les résultats obtenus avec ces classificateurs. Aucune de ces techniques ne permettant une discrimination correcte entre gliomes de haut- grade et métastases, nous avons utilisé l'analyse en composante indépendante pour limiter l'influence de la nécrose sur les profils tumoraux.We developed a new method to characterize brain tumours by using 1H MRSI.We resumed the principles of MR spectroscopy and then we presented the acquisition and the processing of the data in order to obtain a nosological image. The influence of different parameters was studied to justify the evolution of the procedure of calculation of the nosological images.The use of linear discriminant analysis do not allow a good discrimination between high-grade gliomas and metastases. Then we tested the use of others classifiers, both supervised (QDA, perceptron) and unsupervised (Kohonen maps, fuzzy clusters). We explained the principle of these methods and their use in our study. Then we compared the results obtained with differents classifiers. None of these technics allow a good discrimination between high-grade gliomas and metastases. So we used independant component analysis to minimize the influence of necrosis on the tumoral profiles.GRENOBLE1-BU Médecine pharm. (385162101) / SudocPARIS-BIUP (751062107) / SudocSudocFranceF

Application of independent component analysis to H-1 MR spectroscopic imaging exams of brain tumours

Item does not contain fulltextThe low spatial resolution of clinical H-1 MRSI leads to partial volume effects. To overcome this problem, we applied independent component analysis (ICA) on a set of H-1 MRSI exams of brain turnours. With this method, tissue types that yield statistically independent spectra can be separated. Up to three components, corresponding to necrosis, tumoral tissue and healthy tissue have been detected inside turnours. In nonagressive turnours, the "necrotic" component was absent, confirming that only agressive turnours exhibit high levels of lipids. In conclusion, the ICA algorithm allows to find useful hidden components in turnours. The reliability and robustness of the results have also been investigated by means of bootstrapping combined with unsupervised clustering. A comparison of ICA with a method of curve resolution, MCR-ALS, has also been performed. (c) 2005 Elsevier B.V. All rights reserved