Baranova Ancha, Liu Dongming, Chandhoke Vikas, Cao Hongbao, Zhang Fuquan
School of Systems Biology, George Mason University, Fairfax 22030, USA; Research Centre for Medical Genetics, Moscow 115478, Russia.
Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Neurosurgery, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China.
Prog Neuropsychopharmacol Biol Psychiatry. 2025 Mar 20;137:111258. doi: 10.1016/j.pnpbp.2025.111258. Epub 2025 Jan 19.
Type 2 diabetes (T2D) is a chronic metabolic disorder that has high comorbidity with mental disorders. The genetic relationships between T2D and depression are far from being well understood.
We performed genetic correlation, polygenic overlap, Mendelian randomization (MR) analyses, cross-trait meta-analysis, and Bayesian colocalization analysis to assess genetic relationships between T2D and depression, in the forms of major depressive disorder (MDD) and depressed affect (DAF). Then, the summary data-based MR (SMR) analysis was performed to prioritize genes contributing to MDD and to T2D from functional perspective. MDD-driven signaling pathways were constructed to understand the influence of MDD on T2D at the molecular level.
T2D has positive genetic correlations both with MDD (r = 0.14) and with DAF (r = 0.19). The polygenic overlap analysis showed that about 60 % of causal variants for T2D are shared with MDD and DAF. The MR analysis indicated that genetic liabilities to both MDD (OR: 1.24, 95 % CI: 1.11-1.38) and DAF (OR: 1.48, 95 % CI: 1.23-1.78) are associated with an increased risk for T2D, while genetic liability to T2D is not associated with the risk for MDD (OR: 1.00, 95 % CI: 0.99-1.01) or DAF (OR: 1.01, 95 % CI: 1.00-1.02). The cross-trait meta-analysis identified 271 genomic loci, of which 29 were novel. Genetic predisposition to MDD and T2D shares six overlapping loci, involving some well-characterized genes, such as TCF4 and NEGR1. Colocalization analysis revealed three shared chromosome regions between MDD and T2D, which covers mediator genes including SCYL1, DENND1A, and MAD1L1. Molecular pathway analysis suggests mechanisms that promote the development of T2D through inflammatory pathways overactive in patients with MDD. The SMR analysis and the meta-analysis highlighted seven genes with functional implications for both MDD and T2D, including TNKS2, CCDC92, FADS1, ERI1, THUMPD3, NUCKS1, and PM20D1.
Our study points out that depression, in the forms of MDD and DAF, may increase the risk of T2D. Analysis of underlying genetic variation and the molecular pathways, connecting depression and T2D, indicate that the pathophysiological foundations of these two conditions have a notable overlap.
2型糖尿病(T2D)是一种慢性代谢紊乱疾病,与精神障碍的共病率很高。T2D与抑郁症之间的遗传关系尚未完全明确。
我们进行了遗传相关性、多基因重叠、孟德尔随机化(MR)分析、跨性状荟萃分析和贝叶斯共定位分析,以评估T2D与以重度抑郁症(MDD)和抑郁情绪(DAF)形式存在的抑郁症之间的遗传关系。然后,基于汇总数据的MR(SMR)分析从功能角度对导致MDD和T2D的基因进行优先级排序。构建了由MDD驱动的信号通路,以了解MDD在分子水平上对T2D的影响。
T2D与MDD(r = 0.14)和DAF(r = 0.19)均存在正遗传相关性。多基因重叠分析表明,约60%的T2D因果变异与MDD和DAF共享。MR分析表明,MDD(比值比:1.24,95%置信区间:1.11 - 1.38)和DAF(比值比:1.48,95%置信区间:1.23 - 1.78)的遗传易感性均与T2D风险增加相关,而T2D的遗传易感性与MDD(比值比:1.00,95%置信区间:0.99 - 1.01)或DAF(比值比:1.01,95%置信区间:1.00 - 1.02)的风险无关。跨性状荟萃分析确定了271个基因组位点,其中29个是新发现的。MDD和T2D的遗传易感性共有6个重叠位点,涉及一些特征明确的基因,如TCF4和NEGR1。共定位分析揭示了MDD和T2D之间的三个共享染色体区域;其中包括介导基因,如SCYL1、DENND1A和MAD1L1。分子通路分析表明,MDD患者中炎症通路过度活跃,通过这些机制促进T2D的发展。SMR分析和荟萃分析突出了7个对MDD和T2D均具有功能意义的基因,包括TNKS2、CCDC92、FADS1、ERI1、THUMPD3、NUCKS1和PM20D1。
我们的研究指出,以MDD和DAF形式存在的抑郁症可能会增加T2D的风险。对潜在遗传变异和连接抑郁症与T2D的分子通路的分析表明,这两种疾病的病理生理基础有显著重叠。