Evidence map›Paper›PMID 36818476›Full record

ArticleFrontiers in immunology2022

Integrative genetics-metabolomics analysis of infant bronchiolitis-childhood asthma link: A multicenter prospective study.

Tadao Ooka, Zhaozhong Zhu, Liming Liang, Juan C Celedon, Brennan Harmon, Andrea Hahn, Eugene P Rhee, Robert J Freishtat, Carlos A Camargo, Kohei Hasegawa

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  7. Pan-cancer and multiomics: advanced strategies for diagnosis, prognosis, and therapy in the complex genetic and molecular universe of cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 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

10 authors at 5 institutions in 2 countries.

Tadao OokaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA,  United States.
Zhaozhong ZhuDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA,  United States.
Liming LiangProgram in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, MA,  United States.
Juan C CeledonDivision of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA,  United States.
Brennan HarmonCenter for Genetic Medicine Research, Children's National Hospital, Washington, DC, United States.
Andrea HahnCenter for Genetic Medicine Research, Children's National Hospital, Washington, DC, United States.
Eugene P RheeDivision of Nephrology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA,  United States.
Robert J FreishtatCenter for Genetic Medicine Research, Children's National Hospital, Washington, DC, United States.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA,  United States.
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA,  United States.
Harvard University · USGeorge Washington University · USMassachusetts General Hospital · USChildren's National · USUniversity of Pittsburgh · US

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
Airway dual-transcriptomics in bronchiolitis and risk of asthma: MARC-35 cohortR01AI137091 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2018 to 2022
$4.3M
Airway metagenome & metabolome in bronchiolitis and risk of asthma: MARC-35 cohortR01AI134940 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HASEGAWA, KOHEI · 2018 to 2022
$4.0M
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
NIAID NIH HHS K01 AI153558NIAID NIH HHS R01 AI127507NIAID NIH HHS R01 AI134940NIAID NIH HHS R01 AI137091NIAID NIH HHS R01 AI148338NIH HHS UG3 OD023253NIH HHS UH3 OD023253
6 · The paper itself

Abstract

Background: Infants with bronchiolitis are at high risk for developing childhood asthma. While genome-wide association studies suggest common genetic susceptibilities between these conditions, the mechanisms underlying the link remain unclear. Objective: Through integrated genetics-metabolomics analysis in this high-risk population, we sought to identify genetically driven metabolites associated with asthma development and genetic loci associated with both these metabolites and asthma susceptibility. Methods: In a multicenter prospective cohort study of infants hospitalized for bronchiolitis, we profiled the nasopharyngeal metabolome and genotyped the whole genome at hospitalization. We identified asthma-related metabolites from 283 measured compounds and conducted metabolite quantitative trait loci (mtQTL) analyses. We further examined the mtQTL associations by testing shared genetic loci for metabolites and asthma using colocalization analysis and the concordance between the loci and known asthma-susceptibility genes. Results: In 744 infants hospitalized with bronchiolitis, 28 metabolites (e.g., docosapentaenoate [DPA], 1,2-dioleoyl-sn-glycero-3-phosphoglycerol, sphingomyelin) were associated with asthma risk. A total of 349 loci were associated with these metabolites-161 for non-Hispanic white, 120 for non-Hispanic black, and 68 for Hispanics. Of these, there was evidence for 30 shared loci between 16 metabolites and asthma risk (colocalization posterior probability ≥0.5). The significant SNPs within loci were aligned with known asthma-susceptibility genes (e.g., Conclusion: The integrated genetics-metabolomics analysis identified genetically driven metabolites during infancy that are associated with asthma development and genetic loci associated with both these metabolites and asthma susceptibility. Identifying these metabolites and genetic loci should advance research into the functional mechanisms of the infant bronchiolitis-childhood asthma link.

Indexed as

AsthmaBronchiolitisChildGenome-Wide Association StudyHumansInfantProspective StudiesQuantitative Trait Lociasthmabronchiolitischildhood asthmageneticsintegrated-omicsmetabolomicsphosphatidylglycerolsphingolipids

Identifiers

PMID36818476
PMCPMC9936313
OpenAlexW4319160454

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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.