Résumé : L’aggravation de certaines caractéristiques cliniques des femmes enceintes (âge, poids) et l’augmentation de la prévalence du diabète gestationnel (DG) poussent à dépister le DG le plus tôt possible pour éviter chez la mère et le fœtus les complications à court et à long terme. Le dépistage du DG est recommandé à 24-28 semaines de grossesse, et le plus souvent un test de tolérance à 50g de glucose (TTG) est réalisé. Pour les femmes qui ont des facteurs de risque, ce test doit être effectué plus précocement, habituellement pendant le premier trimestre de la grossesse. Cette dernière recommandation est peu suivie, d’autant qu’il n’y a pas de consensus international sur le dépistage du DG pendant le premier trimestre de la grossesse. Objectifs. 1) Définir au premier trimestre de la grossesse la valeur de la glycémie du TTG qui prédit le diagnostic de DG à 24-28 semaines avec une sensibilité et une spécificité optimales à l’aide d’une courbe ROC. 2) Déterminer si la glycémie du TTG au premier trimestre est un facteur prédictif indépendant du DG. Méthodes. Étude prospective de cohorte. Les facteurs d'inclusion étaient : âge ≥ 18 ans et âge gestationnel entre 6 et 13 semaines après la dernière menstruation. Les TTG ont été effectués à la première visite prénatale. Une deuxième visite était programmée à 24-28 semaines pour faire une hyperglycémie provoquée par voie orale (HGPO) et donc un éventuel diagnostic de DG. Les critères utilisés pour ce diagnostic étaient ceux de l’Association américaine du diabète. Résultats. Les TTG ont été faits à 9,1±2,0 semaines et les HGPO à 26.5±1.1semaines chez 1180 femmes (28,2±4,4 ans, IMC : 25,2±5,5 kg/m[indice supérieur 2]). Un DG a été diagnostiqué chez 100 (8,4%) participantes. La valeur de glycémie du TTG à 5,6 mmol/L a prédit le DG avec une sensibilité de 84,1% et une spécificité de 62,3%, tandis que la valeur prédictive positive était de 0,121 et la valeur prédictive négative de 0,985. Cette valeur de 5,6 était indépendamment associée au DG (OR=2,806, IC 95%: 1,98 à 3,97, p <0,001). Comparé à d'autres facteurs de risque, le TTG était le plus puissant prédicteur indépendant du DG (OR=1,767, IC 95%: 1,52 à 2,05, p <0,001). Conclusions. Au premier trimestre, la valeur glycémie de 5.6 mmol/L du TTG prédit avec une bonne sensibilité et spécificité l’apparition d’un DG à 24-28 semaines. La glycémie du TTG au premier trimestre est le plus puissant prédicteur indépendant de DG. / Abstract : The changes in clinical characteristics of pregnant women and an increase in the prevalence of gestational diabetes mellitus (GDM) warrant the importance of screening as early as possible in order to possibly prevent short and long-term complications in both the mother and fetus. GDM screening is recommended at 24-28 weeks of pregnancy, using a 50g glucose challenge test (GCT) although women with multiple risk factors are expected to be assessed “early” in pregnancy, a recommendation poorly followed. Most importantly, there is no universal agreement currently in place for GDM screening, particularly during the first trimester of pregnancy. Objectives. 1) To define the cut-off value of GCT during the first trimester in order to predict GDM diagnosed at 24-28 weeks of gestation with optimal sensitivity and specificity using ROC curve. 2) To determine if GCT during the first trimester of pregnancy is an independent predictor of GDM diagnosed at 24-28 weeks gestation. Methods. This is a prospective cohort study. Women were recruited at their first prenatal visit. Inclusion factors were: age ≥ 18 years and gestational age between 6 and 13 weeks from their last menstrual period. GCT were performed at the first prenatal visit. The second visit was scheduled at 24-28 weeks for the diagnostic 75g oral glucose tolerance test (OGTT). GDM diagnosis was made in accordance with the American Diabetes Association guidelines. A variety of statistical analysis including multivariate logistic regression models and ROC curve were used to address the aims of the study. Results. Participants (n=1180, age: 28.2±4.4 years, BMI: 25.2±5.5 kg/m[superscript 2]) underwent GCT at 9.1±2.0 weeks and OGTT at 26.5±1.1 weeks of gestation. GDM was diagnosed in 100 (8.4%) women. The cut-off value of 5.6 mmol/L predicted GDM with 84.1% (75.4-92.7) sensitivity, 62.3% (59.5-65.1) specificity, while the positive predictive value was 0.121 (0.091-0.150) and the negative predictive value was 0.985 (0.975-0.994). This 5.6 value was independently associated with GDM (OR=2.806, 95% CI: 1.98-3.97, p<0.001). Compared to other risk factors, GCT was the strongest independent predictor of GDM (OR=1.767, 95% CI: 1.52-2.05, p<0.001). Conclusions. The cut-off value of 5.6 mmol/L has the optimal sensitivity and specificity for the GCT during the first trimester to predict GDM at 24-28 weeks of gestation according to ADA guidelines. GCT during the first trimester is the strongest independent predictor of GDM at 24-28 weeks of gestation.

Type 2 diabetes is a complex chronic metabolic disorder characterized by hyperglycemia associated with a relative deficiency of insulin secretion and a reduced response of target tissues to insulin. Considerable efforts have been put into the development of models describing the glucose-insulin system. The best known is Bergman’s “minimal” model for glucose, which is estimating glucose concentrations using fixed insulin concentrations as input. However, due to the involved feedback mechanisms, simultaneous modeling of both entities would be advantageous. This is particularly relevant if the model is intended to be used as a predictive tool. The mechanism-based glucose-insulin model presented in this thesis is able to simultaneously describe glucose and insulin profiles following a wide variety of clinical provocation experiments, such as intravenous and oral glucose tolerance tests, clamp studies and sequential meal tests over 24 hours. It consists of sub-models for glucose, labeled glucose and insulin kinetics. It also incorporates control mechanisms for the regulation of glucose production, insulin secretion, and glucose uptake. Simultaneous analysis of all data by nonlinear mixed effect modeling was performed in NONMEM. Even if this model is a crude representation of a complex physiological system, its ability to represent the main processes of this system was established by identifying: 1) the difference in insulin secretion and insulin sensitivity between healthy volunteers and type 2 diabetics, 2) the action of incretin hormones after oral administration of glucose, 3) the circadian variation of insulin secretion and 4) the correct mechanism of action of a glucokinase activator, a new oral antidiabetic compound acting on both the pancreas and the liver. These promising results represent a proof of concept of a mechanistic drug-disease model that could play an important role in the clinical development of anti-diabetic drugs.

INTRODUCTION/OBJECTIVES: Current screening guidelines for pre-diabetes and type 2 diabetes mellitus note that there are discrepancies in diagnosing the disease using the fasting plasma glucose test, oral glucose tolerance test, and HbA1c in high-risk populations. The objective of this study is to compare the effectiveness of screening methods for type 2 diabetes mellitus (T2DM) and pre-diabetes by race/ethnicity and gender. METHODS: Secondary analyses of the National Health and Nutrition Examination Survey (NHANES, 2005-2008) were performed using SPSS 19.0. Screening outcomes were assessed and compared for a sample of n=10,566, NHW, NHB, MA, and Multiracial/other men and women. Analyses included cross tabulations, ANOVA and partial correlations to establish disease prevalence, effectiveness of screenings, and statistical significance. RESULTS: It was found that the HbA1c test is comparable in precision, and is correlated with the FPG for racial and ethnic minorities. The specificities for detecting pre-diabetes using the HbA1c were higher (64-66%) for these groups than by using the standard, FPG screening method (42-49%). There were no strong, significant differences for screening effectiveness for men versus women. DISCUSSION: This study revealed that the HbA1c test might be an effective method for screening for pre-diabetes in racial and ethnic minorities instead of the FPG test alone. Screening in high-risk populations will help delay the onset of T2DM, with increased prevention during the pre-clinical phase.

High intensity exercise is believed to yield greater results on health and human performance than moderate intensity exercise. Extensive research indicates that not only do high-intensity interval training (HIT) and sprint interval training (SIT) produce significant improvements in cardiovascular fitness and disease, they may be more effective at improving long-term metabolic function, including insulin sensitivity (Si), by producing more mitochondria. Moreover, compliance rates for HIT and SIT participation are reported to be the same or better than traditional moderate intensity exercise. Because lack of time is often cited as major hindrance to exercise participation, SIT is also seen as a time efficient option to improve health and performance. It does appear, however, that repeated sessions of SIT are needed before overall improvements can be measured. SIT protocols employing maximal 30 sec sprints with ~5 min rest [a 1:9 work-to-rest ratio (W:R)], have garnered much of the research focus, while those using minimal rest periods, like Tabata which uses 20 sec sprints and 10 sec rest (2:1 W:R), have been ignored. This may omit a possible SIT option that could influence acute and chronic adaptations. The role of inflammatory cytokines on Si remains an area of continued research. While endurance exercise is thought to create an overall anti-inflammatory environment that stimulates improvement in Si, SIT is often viewed as pro-inflammatory. However, few studies have provided significant insight into cytokine release following SIT, and none haveexplored its impact on Si. In addition, the impact of W:R on cytokine remains speculative at best. Therefore, the examination of the effect of different sprint protocols of similar total work (kJ) on performance, metabolic function, and inflammatory response may provide valuable insight into these adaptive processes.

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第19892号 / 医博第4141号 / 新制||医||1016(附属図書館) / 32969 / 京都大学大学院医学研究科医学専攻 / (主査)教授 川村 孝, 教授 横出 正之, 教授 妹尾 浩 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM