Gestational Diabetes Clinical Trials

The hypothesis for this study is that women with different physiologic subtypes of gestational diabetes (GDM) (insulin secretion deficit vs. insulin sensitivity deficit) will differ in their glycemic responses to meals with different portions of dietary macronutrients. Investigators will determine GDM subtype based on glucose and insulin levels taken at multiple time points during an oral glucose tolerance test. Participants will consume two meals with different macronutrient content while wearing a continuous glucose monitor which will allow investigators to assess the glycemic response to the meals. Read Less

Gestational diabetes (GDM) impacts 1 in 10 pregnancies; hyperglycemia and hypertriglyceridemia are common features of the condition. Women are recommended to do at least 150 minutes of moderate-intensity aerobic activity a week during pregnancy and the postpartum period. Exercise both during and out of pregnancy has been shown to be an effective non-pharmacologic tool to reduce glucose and lipid profiles. The goals and purpose of this pilot study is to 1) determine the influence of exercise and the timing of exercise surrounding a meal on glucose and lipid metabolism in pregnant women with GDM and 2) determine the feasibility of low-resistance and aerobic activity and measuring exercise metrics during pregnancy. The overarching objective of this study is to determine the effects of low-resistance and aerobic exercise on glucose and lipids following a meal in pregnant women with GDM. Read Less

The purpose of this study is to investigate whether automation of glucose monitoring data to facilitate the total number of recommended and completed SMBG checks improve clinical outcomes for women living with gestational and type 2 diabetes during pregnancy? This is a RCT Read Less

The objective of the Gestational Diabetes Genetic Socioeconomic Risk Study is to generate genome wide association study data (GWAS) to calculate polygenic risk scores (PRS) for the development of gestational diabetes in pregnant women. Oshun Medical's GWAS study will be conducted by collecting DNA samples alongside medical and socioeconomic data and applying data science methodology to generate a polygenic risk score algorithm for gestational diabetes. Our hypothesis is that key genetic variants linked to gestational diabetes will be identified, and sociodemographic characteristics may impact epigenetic factors which further contribute to this risk of gestational diabetes. The PRS generated through our study will be combined with an analysis of epigenetic factors to produce a new method for predicting risk of developing gestational diabetes during pregnancy. Read Less

A Pilot of Metformin Postpartum Read Less