Evidence map›Paper›PMID 34587192›Full record

ArticlePloS one2021

Leveraging publicly available coronavirus data to identify new therapeutic targets for COVID-19.

Stacy L Sell, Donald S Prough, Harris A Weisz, Steve G Widen, Helen L Hellmich

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Stacy L SellDepartment of Anesthesiology, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Donald S ProughDepartment of Anesthesiology, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Harris A WeiszDepartment of Anesthesiology, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Steve G WidenDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
Helen L HellmichDepartment of Anesthesiology, The University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.ORCID 0000-0002-7500-4490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many important questions remain regarding severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the viral pathogen responsible for COVID-19. These questions include the mechanisms explaining the high percentage of asymptomatic but highly infectious individuals, the wide variability in disease susceptibility, and the mechanisms of long-lasting debilitating effects. Bioinformatic analysis of four coronavirus datasets representing previous outbreaks (SARS-CoV-1 and MERS-CoV), as well as SARS-CoV-2, revealed evidence of diverse host factors that appear to be coopted to facilitate virus-induced suppression of interferon-induced innate immunity, promotion of viral replication and subversion and/or evasion of antiviral immune surveillance. These host factors merit further study given their postulated roles in COVID-19-induced loss of smell and brain, heart, vascular, lung, liver, and gut dysfunction.

Indexed as

COVID-19 Drug TreatmentAntiviral AgentsCoronavirus InfectionsCOVID-19Databases, FactualHost-Pathogen InteractionsHumansImmune EvasionImmunity, InnateMiddle East Respiratory Syndrome CoronavirusSARS-CoV-2Severe Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusVirus ReplicationAntiviral Agents

Identifiers

PMID34587192
PMCPMC8480897

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.