Evidence map›Paper›PMID 34530086›Full record

ReviewGene2022

An overview of human proteins and genes involved in SARS-CoV-2 infection.

Zohreh Jahanafrooz, Zhishan Chen, Jiandong Bao, Hongzhi Li, Loren Lipworth, Xingyi Guo

Abstract readReview
In one paragraph

Review in Gene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zohreh JahanafroozDepartment of Biology, Faculty of Sciences, University of Maragheh, Maragheh, Iran. Electronic address: jahanafrooz@maragheh.ac.ir.
Zhishan ChenDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Jiandong BaoCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.
Hongzhi LiDepartment of Molecular Medicine, City of Hope National Medical Center, Duarte, CA 91010, USA.
Loren LipworthDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA. Electronic address: xingyi.guo@vumc.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As of July 2021, the outbreak of coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has led to more than 200 million infections and more than 4.2 million deaths globally. Complications of severe COVID-19 include acute kidney injury, liver dysfunction, cardiomyopathy, and coagulation dysfunction. Thus, there is an urgent need to identify proteins and genetic factors associated with COVID-19 susceptibility and outcome. We comprehensively reviewed recent findings of host-SARS-CoV-2 interactome analyses. To identify genetic variants associated with COVID-19, we focused on the findings from genome and transcriptome wide association studies (GWAS and TWAS) and bioinformatics analysis. We described established human proteins including ACE2, TMPRSS2, 40S ribosomal subunit, ApoA1, TOM70, HLA-A, and PALS1 interacting with SARS-CoV-2 based on cryo-electron microscopy results. Furthermore, we described approximately 1000 human proteins showing evidence of interaction with SARS-CoV-2 and highlighted host cellular processes such as innate immune pathways affected by infection. We summarized the evidence on more than 20 identified candidate genes in COVID-19 severity. Predicted deleterious and disruptive genetic variants with possible effects on COVID-19 infectivity have been also summarized. These findings provide novel insights into SARS-CoV-2 biology and infection as well as potential strategies for development of novel COVID therapeutic targets and drug repurposing.

Indexed as

Computational BiologyCOVID-19Cryoelectron MicroscopyCrystallography, X-RayGenome-Wide Association StudyHost Microbial InteractionsHost-Pathogen InteractionsHumansProteinsSARS-CoV-2ProteinsBioinformatics analysisCOVID-19GWASSARS-CoV-2TWASVirus-host interactome analyses

Identifiers

PMID34530086
PMCPMC8437745

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.