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Biomarker of Pancreatic B-cell Loss Predicting Progression to Type 2 Diabetes After Gestational Diabetes

Biomarker of Pancreatic B-cell Loss Predicting Progression to Type 2 Diabetes After Gestational Diabetes
胰腺 B 细胞损失的生物标志物可预测妊娠期糖尿病后进展为 2 型糖尿病
批准号:
10583645
负责人:
Erica Pauline Gunderson
金额:
$68.01万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-01-01 至 2027-12-31

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中文摘要
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英文摘要
ABSTRACT/PROJECT SUMMARY In this project, we prospectively examine the associations and predictive ability of unmethylated insulin gene (INS) DNA from 6-12 weeks postpartum and their subsequent changes several years later preceding the onset of type 2 diabetes (T2D) among two cohorts of women with prior gestational diabetes mellitus (GDM). We will leverage the extant resources from two large prospective studies of 1410 women diagnosed with GDM: the Study of Women, Infant Feeding, and Type 2 Diabetes After Gestational Diabetes (SWIFT) in the U.S. funded by NIH, and the Tianjin GDM Observational study (TGDM-O) in China funded by the European Foundation for the Study of Diabetes (EFSD). The SWIFT study is an ongoing, prospective, longitudinal cohort of 990 women (75% minority; Asian, Hispanic, Black) diagnosed with GDM (2008-2011) who underwent three research 2-h 75 g oral glucose tolerance tests (OGTT) from 6-9 weeks postpartum (baseline), follow up Year 1 and Year 2 post- baseline, and additional testing for diabetes up to 12 years (10/2020) via the Kaiser Permanente electronic health records system. The TGDM-O study is a 4-year, prospective, longitudinal study of 420 Chinese women with GDM who underwent 5 research 2-hr 75 g OGTTs from 6-12 weeks or ~1 year postpartum (baseline) to up to 4- 7 years after baseline (2020). All study participants have fasting glucose, 2-h glucose during serial 2-h OGTTs, in addition to other laboratory (e.g., HbA1c, insulin, lipids), clinical (e.g., adiposity) and behavioral (e.g., diet, exercise, lactation) measures at baseline and follow-up research visits. From the stored fasting serum samples collected from multiple OGTTs, we will measure unmethylated INS DNA and methylated DNA at baseline, Year 1 and Year 2. In Aim 1, we will identify unmethylated INS DNA levels at 6-9 weeks postpartum and longitudinal changes after baseline, and their associations with incident T2D up to ~12 years after GDM pregnancy in the SWIFT. In Aim 2, we will determine the generalizability of Aim 1.a-d in the TGDM-O cohort by assessing heterogeneity in effect estimates and computing pooled associations using a meta-analysis technique. In exploratory Aim 3, we will identify whether unmethylated INS DNA levels at baseline and their temporal changes are associated with baseline measures of IR and β-cell secretory function and their changes in Aims 1-2. If successful, our study will provide novel methodology to assess β-cell death and help transfer this assay into clinical practice for early prevention and potential treatment for inhibiting β-cell apoptosis.
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Fetal and Early Postnatal Influences on Child Metabolic Health After Gestational Diabetes
Fetal and Early Postnatal Influences on Child Metabolic Health After Gestational Diabetes
Fetal and Early Postnatal Influences on Child Metabolic Health After Gestational Diabetes
Metabolite Profiles Preceding Progression to Diabetes Mellitus after Gestational Diabetes
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