Evidence map›Paper›PMID 40072031›Full record

ReviewImmunological reviews2025

The Microbiome in Asthma Heterogeneity: The Role of Multi-Omic Investigations.

Yvonne J Huang

Abstract readReview
In one paragraph

Review in Immunological reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

1 author.

Yvonne J HuangDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, USA.ORCID 0000-0002-7497-6597

Funding

NHLBI TRANS-OMICS FOR PRECISION MEDICINE (TOPMED) FOR THE CENTRALIZED OMICS RESOURCE (CORE) - TASK AREAS 2, 3, AND 4 - 2024 TASK ORDER75N92023D00012 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI OSBORNE, C KENT · 2023 to 2025
$27.9M
FRAMINGHAM HEART STUDY (FHS), TASK AREA B - PROTOCOL DEVELOPMENT AND BASIC EXAMINATION75N92025D00012 · NHLBI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LLOYD-JONES, DONALD · 2025 to 2025
$8.9M
High performance wearable body odor sensor arrays for disease detection and monitoringU01TR004066 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Xudong Fan, Johann Eli Gudjonsson · 2022 to 2026
$5.5M
Sputum Microbial Markers of Type 2-Low AsthmaR01AI129958 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HUANG, YVONNE JEAN · 2017 to 2021
$3.6M
PROCESS DEVELOPMENT OF TELACEBEC FOR TUBERCULOSIS75N95024D00012 · NIDA · MIDWEST RESEARCH INSTITUTE · PI SLADE, DESMOND · 2024 to 2025
$742k
NCATS NIH HHS U01 TR004066NCATS NIH HHS U01TR004066NHLBI NIH HHS 75N92024D00012-0-759202400001-1NHLBI NIH HHS 75N92025D00012NIAID NIH HHS R01 AI129958NIH HHS 75N90024D00012NIH HHS 75N92023D00012NIH HHS 75N95024D00012NIH HHS 75N98024D00012
6 · The paper itself

Abstract

Asthma is one of the most prevalent and extensively studied chronic respiratory conditions, yet the heterogeneity of asthma remains biologically puzzling. Established factors like exogenous exposures and treatment adherence contribute to variability in asthma risk and clinical outcomes. It is also clear that the endogenous factors of genetics and immune system response patterns play key roles in asthma. Despite significant existing knowledge in the above, divergent clinical trajectories and outcomes are still observed, even among individuals with similar risk profiles, biomarkers, and optimal medical management. This suggests uncaptured biological interactions that contribute to asthma's heterogeneity, for which the role of host microbiota has lately attracted much research attention. This review will highlight recent evidence in this area, focusing on bedside-to-bench investigations that have leveraged omic technologies to uncover microbiome links to asthma outcomes and immunobiology. Studies centered on the respiratory system and the use of multi-omics are noted in particular. These represent a new generation of reverse-translational investigations revealing potential functional crosstalk in host microbiomes that may drive phenotypic heterogeneity in chronic diseases like asthma. Multi-omic data offer a wide lens into ecosystem interactions within a host. This informs new hypotheses and experimental work to elucidate mechanistic pathways for unresolved asthma endotypes. Further incorporation of multi-omics into patient-centered investigations can yield new insights that hopefully lead to even more precise, microbiome-informed strategies to reduce asthma burden.

Indexed as

AsthmaMicrobiotaAnimalsBiomarkersDisease SusceptibilityHumansMultiomicsBiomarkersairwayslungmetabolomicmetagenomicmicrobiotatranscriptomic

Identifiers

PMID40072031
PMCPMC11899502

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.