Evidence map›Paper›PMID 34753980›Full record

ArticleScientific reports2021

Candidate genes of SARS-CoV-2 gender susceptibility.

Cristina Russo, Giovanna Morello, Roberta Malaguarnera, Salvatore Piro, Debora Lo Furno, Lucia Malaguarnera

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Cristina RussoDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Giovanna MorelloInstitute for Research and Biomedical Innovation (IRIB), Italian National Research Council (CNR), Catania, Italy. giovanna.morello@irib.cnr.it.
Roberta MalaguarneraFaculty of Medicine and Surgery, "Kore" University of Enna, Enna, Italy.
Salvatore PiroDepartment of Clinical and Molecular Medicine, University of Catania, Catania, Italy.
Debora Lo FurnoDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
Lucia MalaguarneraDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.
University of Catania · ITNational Research Council · ITUniversità degli Studi di Enna Kore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus (SARS-CoV-2) initiated a global viral pandemic since late 2019. Understanding that Coronavirus disease (COVID-19) disproportionately affects men than women results in great challenges. Although there is a growing body of published study on this topic, effective explanations underlying these sex differences and their effects on the infection outcome still remain uncertain. We applied a holistic bioinformatics method to investigate molecular variations of known SARS-CoV-2 interacting human proteins mainly expressed in gonadal tissues (testis and ovary), allowing for the identification of potential genetic targets for this infection. Functional enrichment and interaction network analyses were also performed to better investigate the biological differences between testicular and ovarian responses in the SARS-CoV-2 infection, paying particular attention to genes linked to immune-related pathways, reactions of host cells after intracellular infection, steroid hormone biosynthesis, receptor signaling, and the complement cascade, in order to evaluate their potential association with sexual difference in the likelihood of infection and severity of symptoms. The analysis revealed that within the testis network TMPRSS2, ADAM10, SERPING1, and CCR5 were present, while within the ovary network we found BST2, GATA1, ENPEP, TLR4, TLR7, IRF1, and IRF2. Our findings could provide potential targets for forthcoming experimental investigation related to SARS-CoV-2 treatment.

Indexed as

COVID-19SARS-CoV-2TestisComputational BiologyFemaleGenetic Predisposition to DiseaseHumansMaleOvaryProtein Interaction MapsSerine EndopeptidasesSex CharacteristicsSex FactorsSerine EndopeptidasesTMPRSS2 protein, human

Identifiers

PMID34753980
PMCPMC8578384
OpenAlexW3211965716

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.