Causal associations between severe COVID-19 and diseases of seven organs: a proteome-wide mendelian randomization study

被引:0
|
作者
Shen, Yunhan [1 ]
Zhang, Yi [2 ]
Xu, Ye-yang [3 ]
Li, Xinyi [1 ]
Wu, Jiachen [1 ]
Pei, Hao [4 ]
Wang, Linyan [5 ]
Zhu, Tiansheng [1 ]
机构
[1] Zhejiang A&F Univ, Coll Math & Comp Sci, Hangzhou, Peoples R China
[2] Zhejiang Chinese Med Univ, Affiliated Hosp 1, Zhejiang Prov Hosp Chinese Med, Hangzhou, Peoples R China
[3] Songyang Cty Peoples Hosp, Lishui, Zhejiang, Peoples R China
[4] MobiDrop Zhejiang Co Ltd, Tongxiang, Zhejiang, Peoples R China
[5] Zhejiang Univ, Affiliated Hosp 2, Zhejiang Prov Clin Res Ctr Eye Dis, Zhejiang Prov Key Lab Ophthalmol,Eye Ctr,Zhejiang, Hangzhou, Zhejiang, Peoples R China
关键词
severe COVID-19; causal effect; mendelian randomization (MR); organ-related diseases; proteome; INSTRUMENTS; BIAS;
D O I
10.3389/fgene.2024.1421824
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The coronavirus disease 2019 (COVID-19) pandemic poses an enormous threat to public health worldwide. Many retrospective studies and case reports to date have shown associations between severe COVID-19 and diseases of multi-organs. However, the research on the causal mechanisms behind this phenomenon is neither extensive nor comprehensive. We conducted a proteome-wide Mendelian randomization (MR) study using summary statistics from a Genome-Wide Association Studies (GWAS) of severe COVID-19 and diseases related to seven organs: lung, spleen, liver, heart, kidney, testis, and thyroid, based on the European ancestry. The primary analytical method used is the radial inverse variance-weighted (radial IVW) method, supplemented with the inverse variance-weighted (IVW), weighted-median (WM), MR-Egger methods. Our findings have confirmed the association between severe COVID-19 and multiple organ-related diseases, such as Hypothyroidism, strict autoimmune (HTCBSA), Thyroid disorders (TD), and Graves' disease (GD). And we have also identified certain proteins that are associated with organ-related diseases, such as Superoxide Dismutase 2 (SOD2) and TEK Receptor Tyrosine Kinase (TEK), which are also considered potential drug targets. Phenotype scanning and sensitivity analyses were implemented to consolidate the results for Mendelian randomization. This study provides a compelling foundation for investigating COVID-19 caused diseases in future studies.
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页数:10
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