Evidence map›Paper›PMID 32354022›Full record

ArticleViruses2020

ACE2: The key Molecule for Understanding the Pathophysiology of Severe and Critical Conditions of COVID-19: Demon or Angel?

Li Xiao, Hiroshi Sakagami, Nobuhiko Miwa

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 4% of its field
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

91 citing papers in PubMed, 2 syntheses or guidelines pooled it, 193 citations in OpenAlex.

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  17. Expression ofFuture virology · 2023
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31 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 1 country.

Li XiaoDepartment of Pharmacology, School of Life Dentistry at Tokyo, The Nippon Dental University, Tokyo 102-0071, Japan.ORCID 0000-0002-3053-4930
Hiroshi SakagamiMeikai University Research Institute of Odontology (M-RIO), Saitama 3500283, Japan.ORCID 0000-0001-8001-2121
Nobuhiko MiwaFaculty of Life Sciences, Prefectural University of Hiroshima, Hiroshima 7270023, Japan.
Meikai University · JPNippon Dental University · JPPrefectural University of Hiroshima · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the SARS-CoV-2 induced disease COVID-19 has spread all over the world. Nearly 20% of the patients have severe or critical conditions. SARS-CoV-2 exploits ACE2 for host cell entry. ACE2 plays an essential role in the renin-angiotensin-aldosterone system (RAAS), which regulates blood pressure and fluid balance. ACE2 also protects organs from inflammatory injuries and regulates intestinal functions. ACE2 can be shed by two proteases, ADAM17 and TMPRSS2. TMPRSS2-cleaved ACE2 allows SARS-CoV-2 cell entry, whereas ADAM17-cleaved ACE2 offers protection to organs. SARS-CoV-2 infection-caused ACE2 dysfunction worsens COVID-19 and could initiate multi-organ failure. Here, we will explain the role of ACE2 in the pathogenesis of severe and critical conditions of COVID-19 and discuss auspicious strategies for controlling the disease.

Indexed as

Virus InternalizationADAM17 ProteinAngiotensin-Converting Enzyme 2Coronavirus InfectionsCOVID-19Critical IllnessHumansPandemicsPeptidyl-Dipeptidase APneumonia, ViralSerine EndopeptidasesACE2 protein, humanADAM17 ProteinADAM17 protein, humanAngiotensin-Converting Enzyme 2Peptidyl-Dipeptidase ASerine EndopeptidasesTMPRSS2 protein, humanACE2ADAM17Ang-(1-7)B0AT1COVID-19RAASSARS-CoV-2TMPRSS2

Identifiers

PMID32354022
PMCPMC7290508
OpenAlexW3018474122

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.