Evidence map›Paper›PMID 33796097›Full record

ArticleFrontiers in immunology2021

Immune Interaction Map of Human SARS-CoV-2 Target Genes: Implications for Therapeutic Avenues.

Karthikeyan Subbarayan, Kamatchi Ulagappan, Claudia Wickenhauser, Michael Bachmann, Barbara Seliger

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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  7. OM-85 Broncho-VaxomBiomedicines · 2021
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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

5 authors at 2 institutions in 1 country.

Karthikeyan SubbarayanInstitute of Medical Immunology, Martin Luther University Halle-Wittenberg, Halle, Germany.
Kamatchi UlagappanInstitute of Medical Immunology, Martin Luther University Halle-Wittenberg, Halle, Germany.
Claudia WickenhauserInstitute of Pathology, Martin Luther University Halle-Wittenberg, Halle, Germany.
Michael BachmannHelmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany.
Barbara SeligerInstitute of Medical Immunology, Martin Luther University Halle-Wittenberg, Halle, Germany.
Martin Luther University Halle-Wittenberg · DENational Center for Tumor Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There exists increasing evidence that people with preceding medical conditions, such as diabetes and cancer, have a higher risk of infection with SARS-CoV-2 and are more vulnerable to severe disease. To get insights into the possible role of the immune system upon COVID-19 infection, 2811 genes of the gene ontology term "immune system process GO: 0002376" were selected for coexpression analysis of the human targets of SARS-CoV-2 (HT-SARS-CoV-2) ACE2, TMPRSS2, and FURIN in tissue samples from patients with cancer and diabetes mellitus. The network between HT-SARS-CoV-2 and immune system process genes was analyzed based on functional protein associations using STRING. In addition, STITCH was employed to determine druggable targets. DPP4 was the only immune system process gene, which was coexpressed with the three HT-SARS-CoV-2 genes, while eight other immune genes were at least coexpressed with two HT-SARS-CoV-2 genes. STRING analysis between immune and HT-SARS-CoV-2 genes plotted 19 associations of which there were eight common networking genes in mixed healthy (323) and pan-cancer (11003) tissues in addition to normal (87), cancer (90), and diabetic (128) pancreatic tissues. Using this approach, three commonly applicable druggable connections between HT-SARS-CoV-2 and immune system process genes were identified. These include positive associations of ACE2-DPP4 and TMPRSS2-SRC as well as a negative association of FURIN with ADAM17. Furthermore, 16 drugs were extracted from STITCH (score <0.8) with 32 target genes. Thus, an immunological network associated with HT-SARS-CoV-2 using bioinformatics tools was identified leading to novel therapeutic opportunities for COVID-19.

Indexed as

Angiotensin-Converting Enzyme 2Antiviral AgentsCOVID-19COVID-19 Drug TreatmentDatabases, GeneticDiabetes MellitusDipeptidyl Peptidase 4FurinGene Expression RegulationGene OntologyGenome-Wide Association StudyGenomicsHumansLymphocytesNeoplasmsPancreasACE2 protein, humanAngiotensin-Converting Enzyme 2Antiviral AgentsDipeptidyl Peptidase 4DPP4 protein, humanFurinSerine EndopeptidasesSpike Glycoprotein, CoronavirusTMPRSS2 protein, humanbioinformaticsDPP4immune geneSARS-CoV-2therapeutics

Identifiers

PMID33796097
PMCPMC8007772
OpenAlexW3138487919

What OpenQuestion holds

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LicenceCC BY
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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.