Circulating metabolites, genetics and lifestyle factors in relation to future risk of type 2 diabetes

2型糖尿病 代谢组 肥胖 胰岛素抵抗 糖尿病 尿素循环 医学 生物 生物信息学 代谢组学 代谢综合征 遗传学 全基因组关联研究 2型糖尿病 遗传变异 遗传关联 遗传变异 内分泌学 生理学 风险因素 内科学 代谢途径 基因 胰岛素 基因检测 生物标志物
作者
Jun Li,Jie Hu,Huan Yun,Zhendong Mei,Xingyan Wang,Kai Luo,Marta Guasch-Ferré,Xikun Han,Buu Truong,Jordi Merino,Chengyong Jia,Miguel Ruiz-Canela,Casey M. Rebholz,Eun Hye Moon,Taryn Alkis,Guning Liu,Jie Yao,Xiyuan Zhang,Bianca C. Porneala,Jordi Salas‐Salvadó
出处
期刊:Nature Medicine [Nature Portfolio]
卷期号:32 (2): 660-670 被引量:7
标识
DOI:10.1038/s41591-025-04105-8
摘要

The human metabolome reflects complex metabolic states affected by genetic and environmental factors. However, metabolites associated with type 2 diabetes (T2D) risk and their determinants remain insufficiently characterized. Here we integrated blood metabolomic, genomic and lifestyle data from up to 23,634 initially T2D-free participants from ten cohorts. Of 469 metabolites examined, 235 were associated with incident T2D during up to 26 years of follow-up, including 67 associations not previously reported across bile acid, lipid, carnitine, urea cycle and arginine/proline, glycine and histidine pathways. Further genetic analyses linked these metabolites to signaling pathways and clinical traits central to T2D pathophysiology, including insulin resistance, glucose/insulin response, ectopic fat deposition, energy/lipid regulation and liver function. Lifestyle factors—particularly physical activity, obesity and diet—explained greater variations in T2D-associated versus non-associated metabolites, with specific metabolites revealed as potential mediators. Finally, a 44-metabolite signature improved T2D risk prediction beyond conventional factors. These findings provide a foundation for understanding T2D mechanisms and may inform precision prevention targeting specific metabolic pathways. Researchers studied the blood-based metabolome of over 23,000 people from ten ethnically diverse cohorts. They identified 235 metabolites associated with future risk of type 2 diabetes (T2D). By integrating genetic and modifiable lifestyle factors, their findings provide insights into T2D mechanisms and could improve risk prediction and inform precision prevention.
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
龙骑士25完成签到 ,获得积分10
1秒前
1秒前
1秒前
3秒前
Ws完成签到,获得积分10
3秒前
LunminBao完成签到,获得积分10
4秒前
4秒前
超帅的白易完成签到 ,获得积分10
5秒前
桐桐应助yexu采纳,获得10
5秒前
5秒前
飞快的柚子完成签到,获得积分10
6秒前
炒米粉完成签到,获得积分10
7秒前
7秒前
大个应助obcx采纳,获得10
9秒前
姜院士发布了新的文献求助10
9秒前
朴素半烟完成签到 ,获得积分10
10秒前
10秒前
所所应助飞快的柚子采纳,获得10
10秒前
Akim应助souven采纳,获得10
11秒前
蛋妈发布了新的文献求助10
12秒前
今后应助枯藤老柳树采纳,获得10
14秒前
潇洒的白凝完成签到,获得积分10
14秒前
XX发布了新的文献求助10
15秒前
15秒前
阿黎发布了新的文献求助30
18秒前
suxiaosi完成签到 ,获得积分10
18秒前
大雪纷飞发布了新的文献求助10
19秒前
心态好应助大方的契采纳,获得20
20秒前
在水一方应助Liushiyuan0726采纳,获得10
20秒前
matter完成签到 ,获得积分10
21秒前
充电宝应助miaoda采纳,获得10
21秒前
无花果应助hyh采纳,获得10
22秒前
朴素的山蝶发布了新的文献求助100
25秒前
呜呼啦呼完成签到 ,获得积分0
26秒前
科研通AI6.2应助骑士采纳,获得10
26秒前
明一关注了科研通微信公众号
27秒前
27秒前
晨曦完成签到 ,获得积分10
28秒前
28秒前
李健的粉丝团团长应助cyk采纳,获得10
29秒前
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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
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 7639181
求助须知:如何正确求助?哪些是违规求助? 9212258
关于积分的说明 19761736
捐赠科研通 7205849
什么是DOI,文献DOI怎么找? 3275976
关于科研通互助平台的介绍 2437529
邀请新用户注册赠送积分活动 2273227