Shen Yunhan, Zhang Yi, Xu Ye-Yang, Li Xinyi, Wu Jiachen, Pei Hao, Wang Linyan, Zhu Tiansheng
College of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China.
The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China.
Front Genet. 2024 Aug 13;15:1421824. doi: 10.3389/fgene.2024.1421824. eCollection 2024.
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.
2019年冠状病毒病(COVID-19)大流行对全球公共卫生构成了巨大威胁。迄今为止,许多回顾性研究和病例报告显示了重症COVID-19与多器官疾病之间的关联。然而,关于这一现象背后因果机制的研究既不广泛也不全面。我们基于欧洲血统,利用重症COVID-19以及与七个器官(肺、脾、肝、心、肾、睾丸和甲状腺)相关疾病的全基因组关联研究(GWAS)汇总统计数据,进行了一项全蛋白质组孟德尔随机化(MR)研究。使用的主要分析方法是径向逆方差加权(radial IVW)方法,并辅以逆方差加权(IVW)、加权中位数(WM)、MR-Egger方法。我们的研究结果证实了重症COVID-19与多种器官相关疾病之间的关联,如甲状腺功能减退、严格自身免疫(HTCBSA)、甲状腺疾病(TD)和格雷夫斯病(GD)。并且我们还确定了某些与器官相关疾病相关的蛋白质,如超氧化物歧化酶2(SOD2)和TEK受体酪氨酸激酶(TEK),它们也被视为潜在的药物靶点。实施了表型扫描和敏感性分析以巩固孟德尔随机化的结果。本研究为未来研究调查COVID-19引发的疾病提供了有力的基础。