Evidence map›Paper›PMID 38272372›Full record

ArticleThe Journal of allergy and clinical immunology2024

Nasopharyngeal airway long noncoding RNAs of infants with bronchiolitis and subsequent risk of developing childhood asthma.

Hideaki Miyachi, Tadao Ooka, Marcos Pérez-Losada, Carlos A Camargo, Kohei Hasegawa, Zhaozhong Zhu

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The Journal of allergy and clinical immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Heterogeneity and molecular mechanisms of early-life wheeze.The Journal of allergy and clinical immunology · 2025
    Article
  6. Article
  7. Article
  8. Unraveling the Molecular Complexity of Asthma: Insights from a Multicohort Transcriptome Study.American journal of respiratory cell and molecular biology · 2025
    Article
  9. Review
  10. Association between nasopharyngeal airway lipidome signatures of infants with severe bronchiolitis and risk of recurrent wheeze: A prospective multicenter cohort study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2024
    Article
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

6 authors at 2 institutions in 2 countries.

Hideaki MiyachiDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass.
Tadao OokaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Department of Health Sciences, University of Yamanashi, Chuo, Yamanashi, Japan.
Marcos Pérez-LosadaDepartment of Biostatistics and Bioinformatics, Computational Biology Institute, The George Washington University, Washington, DC.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass.
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass.
Zhaozhong ZhuDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass. Electronic address: zzhu5@mgh.harvard.edu.
Harvard University · USGeorge Washington University · 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
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
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 AI114552NIAID NIH HHS R01 AI127507NIAID NIH HHS R01 AI134940NIAID NIH HHS R01 AI137091NIAID NIH HHS R01 AI148338NIAID NIH HHS U01 AI087881NIH HHS UG3 OD023253NIH HHS UH3 OD023253
6 · The paper itself

Abstract

backgroundSevere bronchiolitis (ie, bronchiolitis requiring hospitalization) during infancy is a major risk factor for developing childhood asthma. However, the biological mechanisms linking these 2 conditions remain unclear.

objectiveWe sought to investigate the longitudinal relationship between nasopharyngeal airway long noncoding RNA (lncRNA) in infants with severe bronchiolitis and subsequent asthma development.

methodsIn this multicenter prospective cohort study of infants with severe bronchiolitis, we performed RNA sequencing of nasopharyngeal airway lncRNAs at index hospitalization. First, we identified differentially expressed lncRNAs (DE-lncRNAs) associated with asthma development by age 6 years. Second, we investigated the associations of DE-lncRNAs with asthma-related clinical characteristics. Third, to characterize the function of DE-lncRNAs, we performed pathway analysis for mRNA targeted by DE-lncRNAs. Finally, we examined the associations of DE-lncRNAs with nasal cytokines at index hospitalization.

resultsAmong 343 infants with severe bronchiolitis (median age, 3 months), we identified 190 DE-lncRNAs (false-discovery rate [FDR] < 0.05) associated with asthma development (eg, LINC02145, RAMP2-AS1, and PVT1). These DE-lncRNAs were associated with asthma-related clinical characteristics (FDR < 0.05), for example, respiratory syncytial virus or rhinovirus infection, infant eczema, and IgE sensitization. Furthermore, DE-lncRNAs were characterized by asthma-related pathways, including mitogen-activated protein kinase, FcɛR, and phosphatidylinositol 3-kinase (PI3K)-protein kinase B signaling pathways (FDR < 0.05). These DE-lncRNAs were also associated with nasal cytokines (eg, IL-1β, IL-4, and IL-13; FDR < 0.05).

conclusionsIn a multicenter cohort study of infants with severe bronchiolitis, we identified nasopharyngeal airway lncRNAs associated with childhood asthma development, characterized by asthma-related clinical characteristics, asthma-related pathways, and nasal cytokines. Our approach identifies lncRNAs underlying the bronchiolitis-asthma link and facilitates the early identification of infants at high risk of subsequent asthma development.

Indexed as

AsthmaBronchiolitisNasopharynxRNA, Long NoncodingChildChild, PreschoolCytokinesFemaleHumansInfantMaleProspective StudiesRisk FactorsCytokinesRNA, Long NoncodingAsthmabronchiolitischildhood asthmainfantlncRNAlong noncoding RNAmulticenteromicsprospective studiestranscriptomics

Identifiers

PMID38272372
PMCPMC11162336
OpenAlexW4391134042

What Socratic holds

Textmetadata
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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 Socratic graph.