14 research outputs found

    Relation of the Mediterranean diet with the incidence of gestational diabetes

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    Background/objectives: Some studies document relationships of the incidence of gestational diabetes mellitus (GDM) with individual components of the diet, but studies exploring relationships with patterns of eating are lacking. This observational study aimed to explore a possible relationship between the incidence of GDM and the Mediterranean diet (MedDiet) pattern of eating. Subjects/methods: In 10 Mediterranean countries, 1076 consecutive pregnant women underwent a 75-g OGTT at the 24th-32nd week of gestation, interpreted both by the ADA-2010 and the International Association of the Diabetes and Pregnancy Study Groups (IADPSG)-2012 criteria. The dietary habits were assessed by a previously validated questionnaire and a Mediterranean Diet Index (MDI) was computed, reflecting the degree of adherence to the MedDiet pattern of eating: a higher MDI denoting better adherence. Results: After adjustment for age, BMI, diabetes in the family, weight gain and energy intake, subjects with GDM, by either criterion, had lower MDI (ADA-2010, 5. 8 vs 6. 3, P=0. 028; IADPSG-2012, 5. 9 vs 6. 4, P<0. 001). Moreover, the incidence of GDM was lower in subjects with better adherence to the MedDiet (higher tertile of MDI distribution), 8. 0% vs 12. 3%, OR=0. 618, P=0. 030 by ADA-2010 and 24. 3% vs 32. 8%, OR=0. 655, P=0. 004 by IADPSG-2012 criteria. In subjects without GDM, MDI was negatively correlated with both fasting plasma glucose and AUC glucose, P<0. 001 for both. Conclusions: Adherence to a MedDiet pattern of eating is associated with lower incidence of GDM and better degree of glucose tolerance, even in women without GDM. The possibility to use MedDiet for the prevention of GDM deserves further testing with intervention studies.peer-reviewe

    10 years of CEMARA database in the AnDDI-Rares network: a unique resource facilitating research and epidemiology in developmental disorders in France

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    Background : In France, the Ministry of Health has implemented a comprehensive program for rare diseases (RD) that includes an epidemiological program as well as the establishment of expert centers for the clinical care of patients with RD. Since 2007, most of these centers have entered the data for patients with developmental disorders into the CEMARA population-based registry, a national online data repository for all rare diseases. Through the CEMARA web portal, descriptive demographic data, clinical data, and the chronology of medical follow-up can be obtained for each center. We address the interest and ongoing challenges of this national data collection system 10 years after its implementation. Methods : Since 2007, clinicians and researchers have reported the “minimum dataset (MDS)” for each patient presenting to their expert center. We retrospectively analyzed administrative data, demographic data, care organization and diagnoses. Results : Over 10 years, 228,243 RD patients (including healthy carriers and family members for whom experts denied any suspicion of RD) have visited an expert center. Among them, 167,361 were patients affected by a RD (median age 11 years, 54% children, 46% adults, with a balanced sex ratio), and 60,882 were unaffected relatives (median age 37 years). The majority of patients (87%) were seen no more than once a year, and 52% of visits were for a diagnostic procedure. Among the 2,869 recorded rare disorders, 1,907 (66.5%) were recorded in less than 10 patients, 802 (28%) in 10 to 100 patients, 149 (5.2%) in 100 to 1,000 patients, and 11 (0.4%) in > 1,000 patients. Overall, 45.6% of individuals had no diagnosis and 6.7% had an uncertain diagnosis. Children were mainly referred by their pediatrician (46%; n = 55,755 among the 121,136 total children referrals) and adults by a medical specialist (34%; n = 14,053 among the 41,564 total adult referrals). Given the geographical coverage of the centers, the median distance from the patient’s home was 25.1 km (IQR = 6.3 km-64.2 km). Conclusions : CEMARA provides unprecedented support for epidemiological, clinical and therapeutic studies in the field of RD. Researchers can benefit from the national scope of CEMARA data, but also focus on specific diseases or patient subgroups. While this endeavor has been a major collective effort among French RD experts to gather large-scale data into a single database, it provides tremendous potential to improve patient care

    Réponses de GH, IGF-1 et IGF-BP3 à un exercice submaximal : différences entre sujets entraînés et sédentaires

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    Explorer les réponses de l'hormone de croissance, de l'Insulin-like Growth factor 1 et de la protéine porteuse 3 de l'IGF lors d'un exercice submaximal et pendant la récupération chez de jeunes adultes

    Détection et localisation de défauts mécaniques d'un entraînement électrique à vitesse variable

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    L'objectif de ce travail est de modéliser et d'analyser le comportement du réducteur sain et en présence de défauts. Ce réducteur fait partie d'une charge mécanique couplée à un entraînement asynchrone à vitesse variable, la finalité étant de détecter et de localiser ses défauts à partir des courants d'alimentation de la machine qui l'entraîne. La première partie définit les notions liées à la thématique "Surveillance et Diagnostic des Systèmes Electromécaniques", et établit un état de l'art sur les défauts liés à ces systèmes ainsi que les différentes approches utilisées pour leur détection et leur localisation. Une seconde partie consiste à modéliser et à simuler le fonctionnement sain du dispositif retenu. Une attention particulière est portée sur la modélisation du comportement dynamique du réducteur. Une modélisation des défauts envisagés à l'étude est proposée. L'influence des défauts sur le comportement du système électromécanique, et plus particulièrement sur les courants statoriques, est alors effectuée. La troisième partie s'intéresse à l'analyse spectrale du "courant statorique". L'influence des paramètres de calcul de cette analyse est prise en compte pour conclure à un calcul fiable des composantes fréquentielles qui existent dans ce courant. Cette analyse mène à une caractérisation des défauts par des signatures spectrales issues du courant, et ce à partir d'une comparaison entre le fonctionnement sain du système, pris comme état de référence, et son fonctionnement en mode dégradé. La dernière partie de ce travail est consacrée à la validation expérimentale [...]TOULOUSE-ENSEEIHT (315552331) / SudocSudocFranceTunisiaFRT

    Biological and biochemical characteristics of a Mediterranean population with Gestational Diabetes Mellitus

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    The interplay of various nutrients provided to the developing foetus determines the growth potential of the conceptus. This study assessed the inter-relationship between these nutrients in a Mediterranean population including 1062 pregnant, previously non-diabetic women. These underwent an oral glucose tolerance test (oGTT) and were accordingly classified into gestational hyperglycaemic and normoglycaemic groups. Fasting insulin, HbA1c, and lipid profiles were further assessed, and the anthropomorphic characteristics of the mother and child at birth were measured. Lipid profiles were compared between the two groups and related to the biological characteristics of the mother and child at birth. Gestational hyperglycaemia was significantly associated with elevated triglycerides (P<0.0001) and decreased low density lipoprotein cholesterol (LDL-C) (P=0.02). There were no significant changes in total cholesterol and high density lipoprotein cholesterol (HDL-C) levels. Maternal BMI correlated positively with the various glycaemic indices (P<0.0001) and triglycerides (P<0.0001), but inversely with cholesterol (P<0.0001), HDL-C (P<0.0001) and LDL-C (P<0.0001). The infant birth weight correlated positively with maternal body weight (P<0.0001), LDL-C (P<0.0001) and the glycaemic indices (P<0.0001), but negatively with cholesterol (P<0.0001), triglycerides (P<0.0001), HDL-C (P<0.0001) and FBG (P<0.0001). This study confirms that the maternal body mass index (BMI), insulin resistance, and LDL-C levels positively contribute towards foetal growth, whereas a negative correlation was noted with cholesterol, triglycerides, and HDL-C

    Association of rs9939609 Polymorphism with Metabolic Parameters and FTO Risk Haplotype Among Tunisian Metabolic Syndrome

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    International audienceBackground: Variants in the fat mass and obesity-associated (FTO) gene are associated with obesity and type 2 diabetes mellitus.Aim of the study: This study aims to assess the association of the rs9939609 variant and haplotypes in FTO gene with metabolic syndrome (MetS) components in a Tunisian population sample.Methods: A total of 685 Tunisian subjects were genotyped for the rs9939609T>A using TaqMan allelic discrimination assay. Two variants rs1421085T>C and rs8057044A>G already genotyped in a previous study were used to test haplotype association of the FTO gene.Results: Genotype distribution of the variant rs9939609 was different between MetS and controls (P = 0.017). Individuals carrying TA genotypes had a significantly increased risk independently of body mass index or age (P = 0.009). The variant rs9939609 was also associated with impaired fasting glucose (IFG) (P = 0.002). Among the eight haplotypes in the population, the haplotype GCA was significantly associated with a higher risk of developing the MetS, higher systolic blood pressure, and higher levels of fasting glucose and triglycerides (TGs) in the total sample and females, separately. Separate analysis by gender revealed a protective haplotype TGT among women (P = 0.023).Conclusions:FTO haplotypes have a strong influence on blood pressures and TG and IFG levels. These findings provide evidence that FTO gene may play a critical role in leading to MetS in Tunisian population

    Pituitary MRI characteristics in 297 acromegaly patients based on T2-weighted sequences.

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    Context: Responses of GH-secreting adenomas to multimodal management of acromegaly varies widely between patients. Understanding the behavioral patterns of GH-secreting adenomas by identifying predictive factors of their evolution is a research priority. Objective: To clarify the relationship between adenoma T2-weighted signal on diagnostic MRI in acromegaly and clinical and biological features at diagnosis. Design: International, multicenter, retrospective analysis. Setting: 10 endocrine tertiary referral centers. Patients: 297 acromegalic recently diagnosed patients with available diagnostic MRI evaluations were included in the study. Main outcome measure: Clinical, biochemical characteristics and MRI signal findings. Results: T2-hypointense adenomas represented 52.9% of the series, were smaller than their T2-hyper- and isointense counterparts (p<0.0001), were associated with higher IGF1 levels (p=0.0001), invaded the cavernous sinus less frequently (p=0.0002) and rarely caused optic chiasm compression (p<0.0001). Acromegalic men tended to be younger at diagnosis than women (p=0.067) and presented higher IGF1 values (p=0.01). Although in total, adenomas had a predominantly inferior extension in 45.8% of cases, in men this was more frequent (p<0.0001), whereas in women optic chiasm compression of macroadenomas occurred more often (p=0.0067). Most adenomas (45.1%) measured between 11-20mm in maximal diameter and bigger adenomas were diagnosed at younger ages (p=0.0001). Conclusions: T2-weighted signal differentiates GH-secreting adenomas into subgroups with particular behaviors. This raises the question of whether T2-weighted signal could represent a factor in the classification of acromegalic patients in future studies
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