Improvement of rehabilitation possibilities with the MotionMaker (TM)

"MotionMaker (TM)" is a stationary programmable test and training system for the lower limbs developed at the 'Ecole Polytechnique Federale de Lausanne' with the 'Fondation Suisse pour les Cybertheses'.. The system is composed of two robotic orthoses comprising motors and sensors, and a control unit managing the trans-cutaneous electrical muscle stimulation with real-time regulation. The control of the Functional Electrical Stimulation (FES) induced muscle force necessary to mimic natural exercise is ensured by the control unit which receives a continuous input from the position and force sensors mounted on the robot. First results with control subjects showed the feasibility of creating movements by such closed-loop controlled FES induced muscle contractions. To make exercising with the MotionMaker (TM) safe for clinical trials with Spinal Cord Injured (SCI) volunteers, several original safety features have been introduced. The MotionMaker (TM) is able to identify and manage the occurrence of spasms. Fatigue can also be detected and overfatigue during exercise prevented.

A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder.

BACKGROUND: Obesity is strongly associated with major depressive disorder (MDD) and various other diseases. Genome-wide association studies have identified multiple risk loci robustly associated with body mass index (BMI). In this study, we aimed to investigate whether a genetic risk score (GRS) combining multiple BMI risk loci might have utility in prediction of obesity in patients with MDD. METHODS: Linear and logistic regression models were conducted to predict BMI and obesity, respectively, in three independent large case-control studies of major depression (Radiant, GSK-Munich, PsyCoLaus). The analyses were first performed in the whole sample and then separately in depressed cases and controls. An unweighted GRS was calculated by summation of the number of risk alleles. A weighted GRS was calculated as the sum of risk alleles at each locus multiplied by their effect sizes. Receiver operating characteristic (ROC) analysis was used to compare the discriminatory ability of predictors of obesity. RESULTS: In the discovery phase, a total of 2,521 participants (1,895 depressed patients and 626 controls) were included from the Radiant study. Both unweighted and weighted GRS were highly associated with BMI (P <0.001) but explained only a modest amount of variance. Adding 'traditional' risk factors to GRS significantly improved the predictive ability with the area under the curve (AUC) in the ROC analysis, increasing from 0.58 to 0.66 (95% CI, 0.62-0.68; χ(2) = 27.68; P <0.0001). Although there was no formal evidence of interaction between depression status and GRS, there was further improvement in AUC in the ROC analysis when depression status was added to the model (AUC = 0.71; 95% CI, 0.68-0.73; χ(2) = 28.64; P <0.0001). We further found that the GRS accounted for more variance of BMI in depressed patients than in healthy controls. Again, GRS discriminated obesity better in depressed patients compared to healthy controls. We later replicated these analyses in two independent samples (GSK-Munich and PsyCoLaus) and found similar results. CONCLUSIONS: A GRS proved to be a highly significant predictor of obesity in people with MDD but accounted for only modest amount of variance. Nevertheless, as more risk loci are identified, combining a GRS approach with information on non-genetic risk factors could become a useful strategy in identifying MDD patients at higher risk of developing obesity.

Incidence des cancers et polypes colorectaux dans le canton de Vaud, 1983-2007: tendances et déterminants

Le cancer colorectal atteint, chaque année, plus d'un million de personnes dans le monde et plus de 500'000 en meurent [1]. Il affecte de manière très inégalitaire les différentes parties du monde. En effet, s'il constitue un problème de santé publique majeur dans des régions telles que l'Amérique du Nord, l'Europe ou l'Océanie (incidence supérieure à 50 pour 100'000), il est nettement plus rare dans certains pays d'Asie, d'Afrique ou d'Amérique du Sud (incidence inférieure à 10 pour 100'000) [2]. Aux Etats-Unis, on estime que 5 à 6% de la population générale présentera un cancer colorectal au cours de sa vie [3]. En Suisse, le cancer colorectal est le deuxième cancer le plus mortel, avec quelque 1'600 décès par an, après le cancer du poumon [4]. Avec 4'000 nouveaux cas annuels, il représente 11% de tous les cancers chez l'homme et chez la femme [5]. Le cancer colorectal est le troisième cancer le plus fréquent après celui du poumon et de la prostate chez l'homme, alors qu'il n'est précédé chez la femme que par le cancer du sein. Pour la période 2003-07, l'incidence en Suisse est estimée à 50 cas/100'000 hommes et 32 cas/100'000 femmes (taux standardisés selon la population européenne) [5] et son taux de survie relative à 5 ans est de 60%, ce qui en fait le taux le plus élevé d'Europe [6]. Le fait que l'incidence chez les migrants ait tendance à rattraper celle des indigènes en moins d'une génération suggère que les facteurs environnementaux jouent un rôle prédominant dans la carcinogénèse des tumeurs colorectales [7]. Cependant, d'autres facteurs, notamment génétiques, interviennent dans la survenue des cancers colorectaux. En effet, dans des conditions de vie similaires, on observe une incidence de cancers colorectaux différente entre différentes ethnies. Des études américaines ont par exemple montré une incidence plus élevée chez les noirs (48 pour 100'000) que chez les blancs (40/100'000) ou les hispaniques (26/100'000) [8]. Les hommes sont plus fréquemment touchés par le cancer colorectal que les femmes, avec un sexe ratio de 1,5 [9]. Les premiers cas de cancers colorectaux apparaissent à partir de 25 ans et l'incidence augmente de manière quasi exponentielle jusqu'à un âge de 75-80 ans, puis se stabilise [10]. L'âge moyen au diagnostic se situe entre 65 et 70 ans. Environ 66% des cancers colorectaux sont localisés dans le côlon (dans l'ordre décroissant: au niveau du sigmoïde, du côlon ascendant, descendant et transverse), 27% dans le rectum, 4% dans l'anus tandis qu'environ 4% restent multiples et indéfinis [10]. Notons encore, qu'à des fins de comparaisons épidémiologiques, les cancers du côlon, du rectum et de l'anus sont souvent regroupés dans l'unique groupe des tumeurs colorectales.

Mortality risk associated with underweight : a census-linked cohort of 31,578 individuals with up to 32 years of follow-up

BACKGROUND: In contrast to obesity, information on the health risks of underweight is sparse. We examined the long-term association between underweight and mortality by considering factors possibly influencing this relationship. METHODS: We included 31,578 individuals aged 25-74 years, who participated in population based health studies between 1977 and 1993 and were followed-up for survival until 2008 by record linkage with the Swiss National Cohort (SNC). Body Mass Index (BMI) was calculated from measured (53% of study population) or self-reported height and weight. Underweight was defined as BMI < 18.5 kg/m2. Cox regression models were used to determine mortality Hazard Ratios (HR) of underweight vs. normal weight (BMI 18.5- < 25.0 kg/m2). Covariates were study, sex, smoking, healthy eating proxy, sports frequency, and educational level. RESULTS: Underweight individuals represented 3.0% of the total study population (n = 945), and were mostly women (89.9%). Compared to normal weight, underweight was associated with increased all-cause mortality (HR: 1.37; 95% CI: 1.14-1.65). Increased risk was apparent in both sexes, regardless of smoking status, and mainly driven by excess death from external causes (HR: 3.18; 1.96-5.17), but not cancer, cardiovascular or respiratory diseases. The HR were 1.16 (0.88-1.53) in studies with measured BMI and 1.59 (1.24-2.05) with self-reported BMI. CONCLUSIONS: The increased risk of dying of underweight people was mainly due to an increased mortality risk from external causes. Using self-reported BMI may lead to an overestimation of mortality risk associated with underweight.