Literature DB >> 34227468

Mendelian randomization analysis provides causality of smoking on the expression of ACE2, a putative SARS-CoV-2 receptor.

Hui Liu1, Junyi Xin2, Sheng Cai3, Xia Jiang4.   

Abstract

Background: To understand a causal role of modifiable lifestyle factors in angiotensin-converting enzyme 2 (ACE2) expression (a putative severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2] receptor) across 44 human tissues/organs, and in coronavirus disease 2019 (COVID-19) susceptibility and severity, we conducted a phenome-wide two-sample Mendelian randomization (MR) study.
Methods: More than 500 genetic variants were used as instrumental variables to predict smoking and alcohol consumption. Inverse-variance weighted approach was adopted as the primary method to estimate a causal association, while MR-Egger regression, weighted median, and MR pleiotropy residual sum and outlier (MR-PRESSO) were performed to identify potential horizontal pleiotropy.
Results: We found that genetically predicted smoking intensity significantly increased ACE2 expression in thyroid (β=1.468, p=1.8×10-8), and increased ACE2 expression in adipose, brain, colon, and liver with nominal significance. Additionally, genetically predicted smoking initiation significantly increased the risk of COVID-19 onset (odds ratio=1.14, p=8.7×10-5). No statistically significant result was observed for alcohol consumption. Conclusions: Our work demonstrates an important role of smoking, measured by both status and intensity, in the susceptibility to COVID-19. Funding: XJ is supported by research grants from the Swedish Research Council (VR-2018-02247) and Swedish Research Council for Health, Working Life and Welfare (FORTE-2020-00884).
© 2021, Liu et al.

Entities:  

Keywords:  ACE2 expression; COVID-19 related adverse outcomes; alcohol consumption; epidemiology; global health; human; mendelian randomization; smoking intensity; smoking status

Year:  2021        PMID: 34227468     DOI: 10.7554/eLife.64188

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  1 in total

1.  Polymorphisms and mutations of ACE2 and TMPRSS2 genes are associated with COVID-19: a systematic review.

Authors:  Jingwei Li; Yali Wang; Yong Liu; Ziqu Zhang; Yuyun Zhai; Yan Dai; Zijian Wu; Xiang Nie; Lunfei Du
Journal:  Eur J Med Res       Date:  2022-02-22       Impact factor: 2.175

  1 in total

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