Evidence map›Paper›PMID 42133797›Full record

ArticleCanadian respiratory journal2026

Multiomics Approach Identifies Novel Genetic Determinants and Therapeutic Targets for Asthma.

Fang Liu, Hongtao Cui, Yan Mei, Keyu Li, Yan Xu, Shuman Li, Chao Yuan

Abstract read
In one paragraph

Article in Canadian respiratory journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Fang LiuChongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.ORCID 0000-0003-4089-9885
Hongtao CuiChongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.ORCID 0000-0002-0087-7086
Yan MeiChongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.ORCID 0009-0005-9073-9048
Keyu LiChongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.ORCID 0009-0005-6141-3794
Yan XuDepartment of Pediatrics, The First Affiliated Hospital Henan University of Chinese Medicine, Zhengzhou, 451200, China.ORCID 0000-0001-5258-339X
Shuman LiDepartment of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China, cqmu.edu.cn.ORCID 0009-0000-3449-4350
Chao YuanChongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China.ORCID 0009-0007-6558-4624

Funding

Chongqing Municipal Education Commission KJQN202315133Chongqing Municipal Education Commission KJQN202415133Chongqing Municipal Education Commission KJQN202415144Chongqing Municipal Human Resources and Social Security Bureau 2022CQBSHTB1029Chongqing Municipal Human Resources and Social Security Bureau 298 [2019]Natural Science Foundation of Chongqing Municipality cstc2021jcyj-msxmX0505Natural Science Foundation of Chongqing Municipality cstc2022jxjl120015
6 · The paper itself

Abstract

Asthma constitutes a widespread chronic respiratory disease with multifactorial origins, in which definitive genetic components remain incompletely understood. This investigation synthesized transcriptomic data and Mendelian randomization (MR) to delineate causative genes contributing to asthma predisposition. Evaluation of the GSE43696 cohort disclosed 267 genes displaying expression alterations between healthy controls (n = 20) and asthmatic cases (n = 88). MR methods discerned seven causal genes, consisting of six protective determinants (GPRIN3, SHISA2, DUSP5, FCER1A, USP36, and LGALS2; OR < 1) and one risk-associated determinant (CXCL6; OR > 1). Independent validation with the GSE63142 series verified pronounced suppression of five genes in asthma specimens. Functional enrichment studies connected these genes to immune-related cascades, including IL-17/NF-κB signal transduction and Th17 cell differentiation, alongside metabolic activities. Single-cell transcriptomic assessment of 32,809 cells exposed compartmentalized expression profiles: FCER1A and LGALS2 predominated in dendritic cells, DUSP5 in goblet cells, SHISA2 in ionocytes, and USP36 in T cells. Immune cell infiltration evaluation demonstrated shifted distributions of mast cells, eosinophils, and monocytes, exhibiting substantial linkages with immune mediators such as CCR5 and CXCL10. Transcription factor exploration recognized cisbp__M0561 as the predominant regulatory element. Connectivity Map-based interrogation nominated KI-8751, verrucarin-A, and homoharringtonine as plausible therapeutic candidates. This consolidated multiomics framework elucidates previously uncharacterized pathological processes and prospective treatment avenues for asthma.

Indexed as

AsthmaGene Expression ProfilingGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisMultiomicsTranscriptomeasthmabiomarkersMendelian randomizationtranscriptome

Identifiers

PMID42133797
PMCPMC13175393

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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.