Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines

生物 孟德尔随机化 基因组 2019年冠状病毒病(COVID-19) 孟德尔遗传 DNA测序 RNA序列 全基因组测序 遗传学 计算生物学 进化生物学 转录组 基因 基因型 基因表达 疾病 医学 遗传变异 传染病(医学专业) 病理
作者
Chao Wang,Rui Yu,Sainan Zhang,Yue Zhao,Changlu Qi,Zijun Zhu,Xinyu Chen,Jianxing Bi,Peigang Xu,Liang Cheng,Xue Zhang
出处
期刊:Briefings in Functional Genomics [Oxford University Press]
卷期号:21 (6): 423-432 被引量:4
标识
DOI:10.1093/bfgp/elac033
摘要

The elevated levels of inflammatory cytokines have attracted much attention during the treatment of COVID-19 patients. The conclusions of current observational studies are often controversial in terms of the causal effects of COVID-19 on various cytokines because of the confounding factors involving underlying diseases. To resolve this problem, we conducted a Mendelian randomization analysis by integrating the GWAS data of COVID-19 and 41 cytokines. As a result, the levels of 2 cytokines were identified to be promoted by COVID-19 and had unsignificant pleiotropy. In comparison, the levels of 10 cytokines were found to be inhibited and had unsignificant pleiotropy. Among down-regulated cytokines, CCL2, CCL3 and CCL7 were members of CC chemokine family. We then explored the potential molecular mechanism for a significant causal association at a single cell resolution based on single-cell RNA data, and discovered the suppression of CCL3 and the inhibition of CCL3-CCR1 interaction in classical monocytes (CMs) of COVID-19 patients. Our findings may indicate that the capability of COVID-19 in decreasing the chemotaxis of lymphocytes by inhibiting the CCL3-CCR1 interaction in CMs.
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