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转录组范围内 CD4 T 细胞激活的孟德尔随机化研究揭示了与免疫相关的代谢疾病药物靶点。

Transcriptome-wide Mendelian randomization during CD4 T cell activation reveals immune-related drug targets for cardiometabolic diseases.

机构信息

Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Digital Medicine Innovation Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Nat Commun. 2024 Oct 28;15(1):9302. doi: 10.1038/s41467-024-53621-7.

Abstract

Immunity has shown potentials in informing drug development for cardiometabolic diseases, such as type 2 diabetes (T2D) and coronary artery disease (CAD). Here, we performed a transcriptome-wide Mendelian randomization (MR) study to estimate the putative causal effects of 11,021 gene expression profiles during CD4 T cells activation on the development of T2D and CAD. Robust MR and colocalization evidence was observed for 162 genes altering T2D risk and 80 genes altering CAD risk, with 12% and 16% respectively demonstrating CD4 T cell specificity. We observed temporal causal patterns during T cell activation in 69 gene-T2D pairs and 34 gene-CAD pairs. These genes were eight times more likely to show robust genetic evidence. We further identified 25 genes that were targets for drugs under clinical investigation, including LIPA and GCK. This study provides evidence to support immune-to-metabolic disease connections, and prioritises immune-mediated drug targets for cardiometabolic diseases.

摘要

免疫在为代谢性心血管疾病(如 2 型糖尿病(T2D)和冠状动脉疾病(CAD))的药物开发提供信息方面显示出了潜力。在这里,我们进行了全转录组孟德尔随机化(MR)研究,以估计 CD4 T 细胞激活过程中 11021 个基因表达谱对 T2D 和 CAD 发展的潜在因果影响。对于改变 T2D 风险的 162 个基因和改变 CAD 风险的 80 个基因,我们观察到了稳健的 MR 和共定位证据,分别有 12%和 16%显示出 CD4 T 细胞特异性。我们在 69 个基因-T2D 对和 34 个基因-CAD 对中观察到 T 细胞激活过程中的时间因果关系模式。这些基因出现强有力的遗传证据的可能性是原来的八倍。我们进一步确定了 25 个作为临床研究药物靶点的基因,包括 LIPA 和 GCK。这项研究提供了支持免疫与代谢性疾病之间联系的证据,并为代谢性心血管疾病的免疫介导药物靶点提供了优先级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a21/11519452/7408db3aa5b4/41467_2024_53621_Fig1_HTML.jpg

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