Distinct metabolic features of genetic liability to type 2 diabetes and coronary artery disease: a reverse Mendelian randomization study.
Distinct metabolic features of genetic liability to type 2 diabetes and coronary artery disease: a reverse Mendelian randomization study.
复制标题
2 型糖尿病和冠状动脉疾病遗传易感性的独特代谢特征:反向孟德尔随机化研究。
DOI:
10.1016/j.ebiom.2023.104503
复制
发表时间:
2023-04
期刊:
影响因子:
11.1
通讯作者:
Bell, Joshua A.
中科院分区:
文献类型:
--
作者:
Smith, Madeleine L.;Bull, Caroline J.;V. Holmes, Michael;Smith, George Davey;Sanderson, Eleanor;Anderson, Emma L.;Bell, Joshua A.
Type 2 diabetes (T2D) and coronary artery disease (CAD) both have known genetic determinants, but the mechanisms through which their associated genetic variants lead to disease onset remain poorly understood. We used large-scale metabolomics data in a two-sample reverse Mendelian randomization (MR) framework to estimate effects of genetic liability to T2D and CAD on 249 circulating metabolites in the UK Biobank (N = 118,466). We examined the potential for medication use to distort effect estimates by conducting age-stratified metabolite analyses. Using inverse variance weighted (IVW) models, higher genetic liability to T2D was estimated to decrease high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) (e.g., HDL-C: −0.05 SD; 95% CI −0.07 to −0.03, per doubling of liability), whilst increasing all triglyceride groups and branched chain amino acids (BCAAs). IVW estimates for CAD liability suggested an effect on reducing HDL-C as well as raising very-low density lipoprotein cholesterol (VLDL-C) and LDL-C. In pleiotropy-robust models, T2D liability was still estimated to increase BCAAs, but several estimates for higher CAD liability reversed and supported decreased LDL-C and apolipoprotein-B. Estimated effects of CAD liability differed substantially by age for non-HDL-C traits, with higher CAD liability lowering LDL-C only at older ages when statin use was common. Overall, our results support largely distinct metabolic features of genetic liability to T2D and CAD, illustrating both challenges and opportunities for preventing these commonly co-occurring diseases. [218495/Z/19/Z], [MC_UU_00011/1; MC_UU_00011/4], the , Diabetes UK [17/0005587], [IIG_2019_2009].
登录
查看更多内容
影响因子:
20.9
作者:
Bell, Joshua A.;Richardson, Tom G.;Wang, Qin;Sanderson, Eleanor;Palmer, Tom;Walker, Venexia;O'Keeffe, Linda M.;Timpson, Nicholas J.;Cichonska, Anna;Julkunen, Heli;Wurtz, Peter;V. Holmes, Michael;Smith, George Davey
通讯作者:
Smith, George Davey
影响因子:
2.1
作者:
Bowden J;Davey Smith G;Haycock PC;Burgess S
通讯作者:
Burgess S
影响因子:
5
作者:
Gu X;Al Dubayee M;Alshahrani A;Masood A;Benabdelkamel H;Zahra M;Li L;Abdel Rahman AM;Aljada A
通讯作者:
Aljada A
影响因子:
5.2
作者:
Chi Y;Wang X;Jia J;Huang T
通讯作者:
Huang T
影响因子:
7.7
作者:
Corbin LJ;Richmond RC;Wade KH;Burgess S;Bowden J;Smith GD;Timpson NJ
通讯作者:
Timpson NJ