Evidence map›Paper›PMID 41078079›Full record

ArticleAllergy2026

Nasopharyngeal Microbiome-Epigenome-Wide Association Analysis in Infants With Severe Bronchiolitis.

Ryohei Shibata, Yijun Li, Anat Yaskolka Meir, Sara Javornik Cregeen, Matthew Clayton Ross, Janice A Espinola, Ashley F Sullivan, Liming Liang, Kohei Hasegawa, Carlos A Camargo and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Allergy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Ryohei ShibataDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Yijun LiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Anat Yaskolka MeirDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Sara Javornik CregeenAlkek Center for Metagenomics & Microbiome Research, Baylor College of Medicine, Houston, Texas, USA.
Matthew Clayton RossAlkek Center for Metagenomics & Microbiome Research, Baylor College of Medicine, Houston, Texas, USA.
Janice A EspinolaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Ashley F SullivanDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Zhaozhong ZhuDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Funding

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
Residential Greenness, Airway Microbiome,and Incident Childhood AsthmaR01ES036966 · NIEHS · MASSACHUSETTS GENERAL HOSPITAL · PI ZHU, ZHAOZHONG · 2025 to 2025
$3.2M
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
Integrating the genome, metabolome, and microbiome for childhood asthma: Risk and endotypesK01AI153558 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ZHU, ZHAOZHONG · 2021 to 2025
$663k
American Lung Association Innovation AwardEnvironmental influences on Child Health Outcomes (ECHO) Program Opportunities and Innovation Fund (OIF)Massachusetts General HospitalNIAID NIH HHS K01 AI153558NIAID NIH HHS R01 AI114552NIAID NIH HHS R01 AI127507NIAID NIH HHS R01 AI134940NIAID NIH HHS R01 AI137091NIAID NIH HHS R01 AI148338NIAID NIH HHS U01 AI087881NIEHS NIH HHS R01 ES036966NIH HHSNIH HHS UG3 OD023253NIH HHS UH3 OD023253the Harvard University William F. Milton Fund
6 · The paper itself

Abstract

backgroundBronchiolitis exposes infants to both acute burdens (e.g., hospitalization in cases of severe bronchiolitis) and increased risks for chronic respiratory sequelae (e.g., asthma). In severe bronchiolitis, recent evidence suggests distinct pathobiological roles of microbiota (e.g., viruses, bacteria) and host responses influenced by genetic and epigenetic factors. However, the relationship of airway microbiota with host DNA methylation (DNAm) in infants with severe bronchiolitis remains unknown.

methodsIn a multi-center prospective cohort of 504 multi-ethnic infants with severe bronchiolitis (age < 1 year), using nasopharyngeal microbiome (exposure) and blood DNAm (outcome, Infinium MethylationEPIC BeadChip, Illumina) data within 24 h of the hospitalization, we conducted microbiome-epigenome-wide association studies (mbEWAS). We examined microbiota-associated differentially methylated CpGs (mbDMCs, false discovery rate [FDR] < 0.05), regions (mbDMRs, FDR < 0.05), and DNAm age acceleration. We also determined the associations of DNAm age acceleration with asthma development by age 6 years. Furthermore, we focused on asthma-related pathogenic bacteria-Haemophilus influenzae, Moraxella catarrhalis, and Streptococcus pneumoniae-for functional analyses by examining serum mbDMR-related proteins (Proseek Multiplex, Olink) and their enriched pathways (FDR < 0.10).

resultsAcross 23 common taxa-observed at least in 25% of the infants, we identified 1 mbDMC (S. pneumoniae, cg16594639, chr20: 39528675) and 96 mbDMRs (e.g., S. pneumoniae, chr5:27038497-27038802, CDH9; chr6:48068669-48068940, PTCHD4). A higher H. influenzae abundance was associated with DNAm age deceleration, and the deceleration was associated with a higher risk of developing asthma. In 29 mbDMRs of the asthma-related pathogenic bacteria, we identified 156 mbDMR-related proteins (e.g., MMP9, XCL1). These proteins were enriched in immune response-related pathways (e.g., regulation of ERBB signaling and eosinophil chemotaxis and migration pathways).

conclusionsIn this multi-center prospective cohort study of severe bronchiolitis, our mbEWAS suggested the microbiota-host associations that regulate immune responses.

Indexed as

BronchiolitisEpigenomeMicrobiotaNasopharynxAsthmaDNA MethylationFemaleGenome-Wide Association StudyHumansInfantInfant, NewbornMaleProspective StudiesSeverity of Illness IndexAirway microbiotabronchiolitisDNA methylationDNA methylation ageEWAS

Identifiers

PMID41078079
PMCPMC12709516

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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.