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Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines.
Wang, Chao; Yu, Rui; Zhang, Sainan; Zhao, Yue; Qi, Changlu; Zhu, Zijun; Chen, Xinyu; Bi, Jianxing; Xu, Peigang; Cheng, Liang; Zhang, Xue.
  • Wang C; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
  • Yu R; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
  • Zhang S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
  • Zhao Y; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
  • Qi C; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
  • Zhu Z; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
  • Chen X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
  • Bi J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
  • Xu P; Chongqing Research Institute of Harbin Institute of Technology.
  • Cheng L; NHC and CAMS Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University, Harbin, Heilongjiang, China, 150028.
  • Zhang X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081.
Brief Funct Genomics ; 21(6): 423-432, 2022 Nov 17.
Article in English | MEDLINE | ID: covidwho-2087742
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cytokines / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Brief Funct Genomics Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cytokines / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Brief Funct Genomics Year: 2022 Document Type: Article