Evidence map›Paper›PMID 39089741›Full record

ArticleBMJ open respiratory research2024

Nasal microRNA signatures for disease severity in infants with respiratory syncytial virus bronchiolitis: a multicentre prospective study.

Michihito Kyo, Zhaozhong Zhu, Ryohei Shibata, Tadao Ooka, Jonathan M Mansbach, Brennan Harmon, Andrea Hahn, Marcos Pérez-Losada, Carlos A Camargo, Kohei Hasegawa

Abstract readMulticenter Study
In one paragraph

Article in BMJ open respiratory research, 2024. 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.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
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.

Michihito KyoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA mkyo@hiroshima-u.ac.jp.ORCID http://orcid.org/0000-0002-2559-6440
Zhaozhong ZhuDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-5662-1541
Ryohei ShibataDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-6195-441X
Tadao OokaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jonathan M MansbachDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Brennan HarmonCentre for Genetic Medicine Research, Children's National Hospital, Washington, District of Columbia, USA.
Andrea HahnCentre for Genetic Medicine Research, Children's National Hospital, Washington, District of Columbia, USA.
Marcos Pérez-LosadaComputational Biology Institute, Department of Biostatistics and Bioinformatics, The George Washington University, Washington, District of Columbia, USA.
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Kohei HasegawaDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Funding

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
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 AI137091NIH HHS UG3 OD023253
6 · The paper itself

Abstract

backgroundRespiratory syncytial virus (RSV) bronchiolitis contributes to a large morbidity and mortality burden globally. While emerging evidence suggests that airway microRNA (miRNA) is involved in the pathobiology of RSV infection, its role in the disease severity remains unclear.

methodsIn this multicentre prospective study of infants (aged<1 year) hospitalised for RSV bronchiolitis, we sequenced the upper airway miRNA and messenger RNA (mRNA) at hospitalisation. First, we identified differentially expressed miRNAs (DEmiRNAs) associated with higher bronchiolitis severity-defined by respiratory support (eg, positive pressure ventilation, high-flow oxygen therapy) use. We also examined the biological significance of miRNAs through pathway analysis. Second, we identified differentially expressed mRNAs (DEmRNAs) associated with bronchiolitis severity. Last, we constructed miRNA-mRNA coexpression networks and determined hub mRNAs by weighted gene coexpression network analysis (WGCNA).

resultsIn 493 infants hospitalised with RSV bronchiolitis, 19 DEmiRNAs were associated with bronchiolitis severity (eg, miR-27a-3p, miR-26b-5p; false discovery rate<0.10). The pathway analysis using miRNA data identified 1291 bronchiolitis severity-related pathways-for example, regulation of cell adhesion mediated by integrin. Second, 1298 DEmRNAs were associated with bronchiolitis severity. Last, of these, 190 DEmRNAs were identified as targets of DEmiRNAs and negatively correlated with DEmiRNAs. By applying WGCNA to DEmRNAs, four disease modules were significantly associated with bronchiolitis severity-for example, microtubule anchoring, cell-substrate junction. The hub genes for each of these modules were also identified-for example,

conclusionsIn infants hospitalised for RSV bronchiolitis, airway miRNA-mRNA coexpression network contributes to the pathobiology of bronchiolitis severity.

Indexed as

MicroRNAsRespiratory Syncytial Virus InfectionsSeverity of Illness IndexBronchiolitisBronchiolitis, ViralFemaleGene Expression ProfilingHumansInfantInfant, NewbornMaleProspective StudiesRNA, MessengerMicroRNAsRNA, Messengercritical carenon invasive ventilationrespiratory infectionviral infection

Identifiers

PMID39089741
PMCPMC11293419

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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.