Evidence map›Paper›PMID 34962914›Full record

ArticlePLoS computational biology2021

A systems genomics approach uncovers molecular associates of RSV severity.

Matthew N McCall, Chin-Yi Chu, Lu Wang, Lauren Benoodt, Juilee Thakar, Anthony Corbett, Jeanne Holden-Wiltse, Christopher Slaunwhite, Alex Grier, Steven R Gill and 6 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Development of a pediatric immune cell atlas and characterization of CD4+ T cells in food allergy.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
    Review
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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

16 authors.

Matthew N McCallDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-2473-0943
Chin-Yi ChuDivision of Neonatology and Pediatric Molecular and Personalized Medicine Program, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-2390-3937
Lu WangDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-1428-971X
Lauren BenoodtDepartment of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-8834-8970
Juilee ThakarDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0003-4479-4183
Anthony CorbettDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0001-9545-0853
Jeanne Holden-WiltseDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0003-2694-7465
Christopher SlaunwhiteDivision of Neonatology and Pediatric Molecular and Personalized Medicine Program, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-7182-6120
Alex GrierDepartment of Microbiology and Immunology, University of Rochester Medical Center, Rochester New York, United States of America.
Steven R GillDepartment of Microbiology and Immunology, University of Rochester Medical Center, Rochester New York, United States of America.
Ann R FalseyDepartment of Medicine, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-7141-9701
David J TophamDepartment of Microbiology and Immunology, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-9435-8673
Mary T CasertaDepartment of Pediatrics, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-3813-0762
Edward E WalshDepartment of Medicine, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-8792-8877
Xing QiuDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester New York, United States of America.ORCID 0000-0002-2330-3544
Thomas J MarianiDivision of Neonatology and Pediatric Molecular and Personalized Medicine Program, University of Rochester Medical Center, Rochester New York, United States of America.

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Infection and Immunity: The Pathogenesis of Host-Microbe InteractionsT32AI118689 · NIAID · UNIVERSITY OF ROCHESTER · PI Paul M. Dunman, BRIAN M WARD · 2015 to 2026
$2.5M
NCATS NIH HHS UL1 TR002001NIAID NIH HHS HHSN272201200005CNIAID NIH HHS T32 AI118689NIEHS NIH HHS P30 ES001247
6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) infection results in millions of hospitalizations and thousands of deaths each year. Variations in the adaptive and innate immune response appear to be associated with RSV severity. To investigate the host response to RSV infection in infants, we performed a systems-level study of RSV pathophysiology, incorporating high-throughput measurements of the peripheral innate and adaptive immune systems and the airway epithelium and microbiota. We implemented a novel multi-omic data integration method based on multilayered principal component analysis, penalized regression, and feature weight back-propagation, which enabled us to identify cellular pathways associated with RSV severity. In both airway and immune cells, we found an association between RSV severity and activation of pathways controlling Th17 and acute phase response signaling, as well as inhibition of B cell receptor signaling. Dysregulation of both the humoral and mucosal response to RSV may play a critical role in determining illness severity.

Indexed as

Respiratory Syncytial Virus InfectionsGenomicsHumansImmunity, InnateInfantMachine LearningMicrobiotaNasal CavityRNA-SeqSeverity of Illness Index

Identifiers

PMID34962914
PMCPMC8746750

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.