Evidence map›Paper›PMID 32595654›Full record

ArticleFrontiers in immunology2020

Interferon-Induced Transmembrane Protein (IFITM3) Is Upregulated Explicitly in SARS-CoV-2 Infected Lung Epithelial Cells.

Mahmood Yaseen Hachim, Saba Al Heialy, Ibrahim Yaseen Hachim, Rabih Halwani, Abiola C Senok, Azzam A Maghazachi, Qutayba Hamid

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 7% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 2 countries.

Mahmood Yaseen HachimSharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Saba Al HeialyCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Ibrahim Yaseen HachimSharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Rabih HalwaniSharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Abiola C SenokCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Azzam A MaghazachiSharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Qutayba HamidSharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
University of Sharjah · AEMohammed Bin Rashid University of Medicine and Health Sciences · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current guidelines for COVID-19 management recommend the utilization of various repurposed drugs. Despite ongoing research toward the development of a vaccine against SARS-CoV-2, such a vaccine will not be available in time to contribute to the containment of the ongoing pandemic. Therefore, there is an urgent need to develop a framework for the rapid identification of novel targets for diagnostic and therapeutic interventions. We analyzed publicly available transcriptomic datasets of SARS-CoV infected humans and mammals to identify consistent differentially expressed genes then validated in SARS-CoV-2 infected epithelial cells transcriptomic datasets. Comprehensive toxicogenomic analysis of the identified genes to identify possible interactions with clinically proven drugs was carried out. We identified IFITM3 as an early upregulated gene, and valproic acid was found to enhance its mRNA expression as well as induce its antiviral action. These findings indicate that analysis of publicly available transcriptomic and toxicogenomic data represents a rapid approach for the identification of novel targets and molecules that can modify the action of such targets during the early phases of emerging infections like COVID-19.

Indexed as

Gene Expression Profiling2',5'-Oligoadenylate SynthetaseAnimalsBetacoronavirusCoronavirus InfectionsCOVID-19Disease Models, AnimalFerretsGene Expression RegulationHumansImmunity, InnateLungMacaca fascicularisMembrane ProteinsMiceMyxovirus Resistance Proteins2',5'-Oligoadenylate SynthetaseIFITM3 protein, humanMembrane ProteinsMyxovirus Resistance ProteinsRNA-Binding ProteinsValproic Acidantiviral immunityCOVID-19interferon-induced transmembrane proteinsSARS-CoV-2valproic acid

Identifiers

PMID32595654
PMCPMC7301886
OpenAlexW3035618009

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.