Evidence map›Paper›PMID 33197460›Full record

ArticleThe Journal of allergy and clinical immunology2021

Integrated-omics endotyping of infants with rhinovirus bronchiolitis and risk of childhood asthma.

Yoshihiko Raita, Carlos A Camargo, Yury A Bochkov, Juan C Celedón, James E Gern, Jonathan M Mansbach, Eugene P Rhee, Robert J Freishtat, Kohei Hasegawa

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in The Journal of allergy and clinical immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  5. Multi-omics to study chronic respiratory diseases and viral infections.European respiratory review : an official journal of the European Respiratory Society · 2026
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  13. Microbial influencers: the airway microbiome's role in asthma.The Journal of clinical investigation · 2025
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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

9 authors at 5 institutions in 1 country.

Yoshihiko RaitaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass. Electronic address: yraita1@mgh.harvard.edu.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass.
Yury A BochkovDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Juan C CeledónDivision of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pa.
James E GernDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, Wis; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wis.
Jonathan M MansbachDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Mass.
Eugene P RheeNephrology Division and Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass.
Robert J FreishtatDivision of Emergency Medicine, Children's National Hospital, Washington, DC; Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC; Department of Genomics and Precision Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC.
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass.
Harvard University · USUniversity of Wisconsin–Madison · USBoston Children's Hospital · USGeorge Washington University Hospital · USUniversity of Pittsburgh · US

Funding

Wisconsin Infant Study Cohort (WISC)U19AI104317 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern · 2013 to 2026
$22.5M
Host genetics, early-life microbiome, and childhood asthma: MARC-43 BostonUH3OD023253 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CARLOS ARTURO CAMARGO · 2018 to 2026
$12.1M
Nasal microRNA during bronchiolitis and age 6y asthma phenotypes: MARC-35 cohortR01AI127507 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO, FREISHTAT, ROBERT J · 2017 to 2021
$8.0M
Host genetics, early-life microbiome, and childhood asthma: MARC-43 BostonUG3OD023253 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2016 to 2024
$6.8M
Prospective Cohort Study of Severe Bronchiolitis and Risk of Recurrent WheezingU01AI087881 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2011 to 2016
$6.2M
Airway dual-transcriptomics in bronchiolitis and risk of asthma: MARC-35 cohortR01AI137091 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2018 to 2022
$4.3M
Infant specific-IgE, rhinovirus-C bronchiolitis, and incident asthma in MARC-35R01AI114552 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, CARLOS ARTURO · 2015 to 2019
$4.2M
Airway metagenome & metabolome in bronchiolitis and risk of asthma: MARC-35 cohortR01AI134940 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2018 to 2022
$4.0M
Viral persistence & the microbiome in bronchiolitis and risk of recurrent wheezeR01AI108588 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI MANSBACH, JONATHAN M · 2015 to 2018
$2.9M
Infant blood epigenome and risks of IgE sensitization, obesity, and asthma: MARC-35/43 cohortsR01AI148338 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI CAMARGO, CARLOS ARTURO, LIANG, LIMING · 2020 to 2023
$2.5M
Cytokines & transcriptomes in rhinovirus bronchiolitis and risk of incident asthmaR21HL129909 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2015 to 2016
$506k
NHLBI NIH HHS R21 HL129909NIAID NIH HHS R01 AI108588NIAID NIH HHS R01 AI114552NIAID NIH HHS R01 AI127507NIAID NIH HHS R01 AI134940NIAID NIH HHS R01 AI137091NIAID NIH HHS R01 AI148338NIAID NIH HHS U01 AI087881NIAID NIH HHS U19 AI104317NIH HHS UG3 OD023253NIH HHS UH3 OD023253
6 · The paper itself

Abstract

backgroundYoung children with rhinovirus (RV) infection-particularly bronchiolitis-are at high risk for developing childhood asthma. Emerging evidence suggests clinical heterogeneity within RV bronchiolitis. However, little is known about these biologically distinct subgroups (endotypes) and their relations with asthma risk.

objectiveWe aimed to identify RV bronchiolitis endotypes and examine their longitudinal relations with asthma risk.

methodsAs part of a multicenter prospective cohort study of infants (age <12 months) hospitalized for bronchiolitis, we integrated clinical, RV species (RV-A, RV-B, and RV-C), nasopharyngeal microbiome (16S rRNA gene sequencing), cytokine, and metabolome (liquid chromatography tandem mass spectrometry) data collected at hospitalization. We then applied network and clustering approaches to identify bronchiolitis endotypes. We also examined their longitudinal association with risks of developing recurrent wheeze by age 3 years and asthma by age 5 years.

resultsOf 122 infants hospitalized for RV bronchiolitis (median age, 4 months), we identified 4 distinct endotypes-mainly characterized by RV species, microbiome, and type 2 cytokine (T2) response: endotype A, virus

conclusionsIntegrated-omics analysis identified biologically meaningful RV bronchiolitis endotypes in infants, such as one characterized by RV-C infection, Moraxella-dominant microbiota, and high T2 cytokine response, at higher risk for developing recurrent wheeze and asthma. This study should facilitate further research toward validating our inferences.

Indexed as

RhinovirusAge FactorsAsthmaBronchiolitisCommon ColdDisease SusceptibilityHumansInfantInfant, NewbornMetabolomeProteomeRisk AssessmentTranscriptomeProteomeasthmabronchiolitiscytokinesendotypingIntegrated-omicsmetabolomemicrobiome

Identifiers

PMID33197460
PMCPMC8116357
OpenAlexW3106489766

What OpenQuestion holds

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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.