Type 2 diabetes metabolomics score and risk of progression to type 2 diabetes among women with a history of gestational diabetes mellitus

Author:

Tobias Deirdre K.12ORCID,Hamaya Rikuta13,Clish Clary B.4,Liang Liming5,Deik Amy4,Dennis Courtney4,Bullock Kevin4,Zhang Cuilin67,Hu Frank B.238,Manson JoAnn E.13

Affiliation:

1. Division of Preventive Medicine Department of Medicine Harvard Medical School Brigham and Women's Hospital Boston Massachusetts USA

2. Nutrition Department Harvard TH Chan School of Public Health Boston Massachusetts USA

3. Epidemiology Department Harvard TH Chan School of Public Health Boston Massachusetts USA

4. Broad Institute of MIT and Harvard Cambridge Massachusetts USA

5. Biostatistics Department Harvard TH Chan School of Public Health Boston Massachusetts USA

6. Epidemiology Branch Division of Intramural Population Health Research Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health Bethesda Maryland USA

7. Global Centre for Asian Women's Health Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore

8. Channing Division of Network Medicine, Department of Medicine Brigham and Women's Hospital Boston Massachusetts USA

Abstract

AbstractBackgroundSeveral metabolites are individually related to incident type 2 diabetes (T2D) risk. We prospectively evaluated a novel T2D‐metabolite pattern with a risk of progression to T2D among high‐risk women with a history of gestational diabetes mellitus (GDM).MethodsThe longitudinal Nurses' Health Study II cohort enroled 116,429 women in 1989 and collected blood samples from 1996 to 1999. We profiled plasma metabolites in 175 incident T2D cases and 175 age‐matched controls, all with a history of GDM before the blood draw. We derived a metabolomics score from 21 metabolites previously associated with incident T2D in the published literature by scoring according to the participants' quintile (1–5 points) of each metabolite. We modelled the T2D metabolomics score categorically in quartiles and continuously per 1 standard deviation (SD) with the risk of incident T2D using conditional logistic regression models adjusting for body mass index at the blood draw, and other established T2D risk factors.ResultsThe percentage of women progressing to T2D ranged from 10% in the bottom T2D metabolomics score quartile to 78% in the highest score quartile. Adjusting for established T2D risk factors, women in the highest quartile had more than a 20‐fold greater diabetes risk than women in the lowest quartile (odds ratios [OR] = 23.1 [95% CI = 8.6, 62.1]; p for trend<0.001). The continuous T2D metabolomics score was strongly and positively associated with incident T2D (adjusted OR = 2.7 per SD [95% CI = 1.9, 3.7], p < 0.0001).ConclusionsA pattern of plasma metabolites among high‐risk women is associated with a markedly elevated risk of progression to T2D later in life.

Funder

National Institutes of Health

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Wiley

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3