清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Serum metabolomic profiling of incident type 2 diabetes mellitus in the Multi-Ethnic Study of Atherosclerosis and Rotterdam Study

民族 鹿特丹研究 2型糖尿病 医学 2型糖尿病 内科学 仿形(计算机编程) 糖尿病 内分泌学 流行病学 计算机科学 政治学 操作系统 法学
作者
Xuanwei Jiang,Fang Zhu,Gonçalo Graça,Xihao Du,Jinjun Ran,Fariba Ahmadizar,Alexis C. Wood,Yanqiu Zhou,Denise Scholtens,Ali Farzaneh,M. Arfan Ikram,Alan Kuang,Carel W. le Roux,Meghana Gadgil,Marilyn C. Cornelis,Kent D. Taylor,Xiuqing Guo,Mohsen Ghanbari,Laura J. Rasmussen‐Torvik,Russell P. Tracy
出处
期刊:The Journal of Clinical Endocrinology and Metabolism [Oxford University Press]
标识
DOI:10.1210/clinem/dgae812
摘要

Abstract Objective This study aimed to investigate serum metabolomic biomarkers associated with incident type 2 diabetes mellitus (T2DM) and evaluate their performance in improving T2DM risk prediction. Methods Untargeted proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolomics analyses were conducted in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 3460; discovery cohort) and The Rotterdam Study (RS; n = 1556; replication cohort). Multivariable cause-specific hazards models were used to analyze the associations between 23 571 serum metabolomic spectral variables and incident T2DM. Replicated metabolites required an false discovery rate-adjusted P < .01 in MESA, P < .05 in RS, and consistent direction of association. Pathway and network analyses were conducted to elucidate biological mechanisms underlying T2DM development. The utility of the replicated metabolites in improving T2DM risk prediction was assessed based on the Framingham Diabetes Risk Score. A 2-sample Mendelian randomization was conducted to assess causal associations. Results Nineteen metabolites were significantly associated with incident T2DM. Pathway analyses revealed disturbances in aminoacyl-tRNA biosynthesis, metabolism of branched-chain amino acids (BCAAs), glycolysis/gluconeogenesis, and glycerolipid metabolism. Network analyses identified interactions with upstream regulators including p38 mitogen-activated protein kinases, c-Jun N-terminal kinase, and mammalian target of rapamycin signaling pathways. Adding replicated metabolites to the Framingham Diabetes Risk Score showed modest to moderate improvements in prediction performance in MESA and RS, with Δ C-statistic of 0.05 [95% confidence interval (CI), 0.04-0.07] in MESA and 0.03 (95% CI, 0.01-0.05) in RS. Genetically increased BCAAs and mannose were associated with T2DM. Conclusion 1H NMR measured metabolites involved in aminoacyl-tRNA biosynthesis, BCAA metabolism, glycolysis/gluconeogenesis, and glycerolipid metabolism were significantly associated with incident T2DM and provided modest to moderate predictive utility beyond traditional risk factors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英姑应助科研通管家采纳,获得10
4秒前
和谐寻云完成签到,获得积分10
33秒前
轻松凌柏完成签到 ,获得积分10
34秒前
我是笨蛋完成签到 ,获得积分10
1分钟前
1分钟前
孰湖完成签到 ,获得积分10
1分钟前
迅速飞丹完成签到,获得积分10
1分钟前
如歌完成签到,获得积分10
1分钟前
慕青应助科研通管家采纳,获得30
2分钟前
英姑应助科研通管家采纳,获得10
2分钟前
2分钟前
随波逐流完成签到,获得积分10
2分钟前
2分钟前
老戎完成签到 ,获得积分10
2分钟前
欣喜的涵柏完成签到 ,获得积分10
2分钟前
文艺夜白完成签到,获得积分10
2分钟前
wangjing11完成签到,获得积分10
3分钟前
呆萌的孤云完成签到,获得积分10
3分钟前
炜大的我应助科研通管家采纳,获得10
4分钟前
4分钟前
平常的剑完成签到 ,获得积分10
4分钟前
诚心金渐基完成签到 ,获得积分10
4分钟前
超帅的若剑完成签到,获得积分10
4分钟前
烟花应助小超采纳,获得10
5分钟前
洁净香寒完成签到,获得积分10
5分钟前
5分钟前
罗喉完成签到 ,获得积分10
5分钟前
大陈发布了新的文献求助10
5分钟前
Imran完成签到,获得积分10
5分钟前
5分钟前
小超发布了新的文献求助10
5分钟前
大陈完成签到,获得积分10
6分钟前
酷波er应助小超采纳,获得10
6分钟前
zhanghao完成签到,获得积分10
6分钟前
6分钟前
小超发布了新的文献求助10
6分钟前
种下梧桐树完成签到 ,获得积分10
6分钟前
充电宝应助小超采纳,获得10
6分钟前
不想起床完成签到 ,获得积分10
7分钟前
foxm完成签到,获得积分10
7分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7634112
求助须知:如何正确求助?哪些是违规求助? 9208163
关于积分的说明 19748268
捐赠科研通 7202444
什么是DOI,文献DOI怎么找? 3275028
关于科研通互助平台的介绍 2436932
邀请新用户注册赠送积分活动 2271918