Evidence map›Paper›PMID 36323307›Full record

ArticleCell systems2022

Pre-infection antiviral innate immunity contributes to sex differences in SARS-CoV-2 infection.

Natalie Sauerwald, Zijun Zhang, Irene Ramos, Venugopalan D Nair, Alessandra Soares-Schanoski, Yongchao Ge, Weiguang Mao, Hala Alshammary, Ana S Gonzalez-Reiche, Adriana van de Guchte and 22 more

Open access · hybridAbstract read
In one paragraph

Article in Cell systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 20 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

32 authors at 7 institutions in 2 countries.

Natalie SauerwaldCenter for Computational Biology, Flatiron Institute, New York, NY 10010, USA.
Zijun ZhangCenter for Computational Biology, Flatiron Institute, New York, NY 10010, USA.
Irene RamosDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Venugopalan D NairDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Alessandra Soares-SchanoskiDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Yongchao GeDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Weiguang MaoDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Hala AlshammaryDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Ana S Gonzalez-ReicheDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Adriana van de GuchteDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Carl W GoforthNaval Medical Research Center, Silver Spring, MD 20910, USA.
Rhonda A LizewskiNaval Medical Research Unit 6, Lima 34031, Peru.
Stephen E LizewskiNaval Medical Research Unit 6, Lima 34031, Peru.
Mary Anne S AmperDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Mital VasoyaDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Nitish SeenarineDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Kristy GuevaraDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Nada MarjanovicDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Clare M MillerDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
German NudelmanDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Megan A SchillingNaval Medical Research Center, Silver Spring, MD 20910, USA.
Rachel S G SealfonCenter for Computational Biology, Flatiron Institute, New York, NY 10010, USA.
Michael S TerminiNavy Medicine Readiness and Training Command Beaufort, Beaufort, SC 29902, USA.
Sindhu VangetiDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Dawn L WeirNaval Medical Research Center, Silver Spring, MD 20910, USA.
Elena ZaslavskyDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Maria ChikinaDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Ying Nian WuDepartment of Statistics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Harm Van BakelDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Andrew G LetiziaNaval Medical Research Center, Silver Spring, MD 20910, USA.
Stuart C SealfonDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: stuart.sealfon@mssm.edu.
Olga G TroyanskayaCenter for Computational Biology, Flatiron Institute, New York, NY 10010, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08540, USA; Department of Computer Science, Princeton University, Princeton, NJ 08540, USA. Electronic address: ogt@genomics.princeton.edu.
Icahn School of Medicine at Mount Sinai · USNaval Medical Research Command · USFlatiron Health (United States) · USUnited States Naval Medical Research Unit SOUTH · PEUniversity of Pittsburgh · USPrinceton University · USUniversity of California, Los Angeles · US

Funding

lntegration and Visualization of Diverse Biological DataR01GM071966 · NIGMS · PRINCETON UNIVERSITY · PI TROYANSKAYA, OLGA G · 2005 to 2022
$6.4M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
NIGMS NIH HHS R01 GM071966NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itself

Abstract

Male sex is a major risk factor for SARS-CoV-2 infection severity. To understand the basis for this sex difference, we studied SARS-CoV-2 infection in a young adult cohort of United States Marine recruits. Among 2,641 male and 244 female unvaccinated and seronegative recruits studied longitudinally, SARS-CoV-2 infections occurred in 1,033 males and 137 females. We identified sex differences in symptoms, viral load, blood transcriptome, RNA splicing, and proteomic signatures. Females had higher pre-infection expression of antiviral interferon-stimulated gene (ISG) programs. Causal mediation analysis implicated ISG differences in number of symptoms, levels of ISGs, and differential splicing of CD45 lymphocyte phosphatase during infection. Our results indicate that the antiviral innate immunity set point causally contributes to sex differences in response to SARS-CoV-2 infection. A record of this paper's transparent peer review process is included in the supplemental information.

Indexed as

COVID-19Immunity, InnateSex CharacteristicsFemaleHumansInterferonsMaleProteomicsSARS-CoV-2Young AdultInterferonsalternative splicingcausal mediationCOVID-19differential expressioninterferon-stimulated genesSARS-CoV-2sex differencesviral infection

Identifiers

PMID36323307
PMCPMC9623453
OpenAlexW4307780828

What OpenQuestion holds

Textmetadata
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.