Evidence map›Paper›PMID 40288048›Full record

ArticleThe Journal of international medical research2025

Identification of hub genes related to DNA damage response in asthma via combinative bioinformatics strategy.

Li He, Fangmei Lin, Yawen Zhou, Meihua Dong, Mingfang Deng, Jing Li, Nan Jia

Abstract read
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Article in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Li HeState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, P.R. China.ORCID 0000-0002-8782-7793
Fangmei LinState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, P.R. China.
Yawen ZhouState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, P.R. China.
Meihua DongState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, P.R. China.
Mingfang DengState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, P.R. China.
Jing LiState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, P.R. China.
Nan JiaState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveEmerging evidence has indicated the potential role of DNA damage response in asthma pathogenesis, but the underlying mechanisms remain elusive. Therefore, this study aimed to identify key diagnostic DNA damage response-related genes in asthma and explore their regulatory networks.MethodsDifferentially expressed genes between healthy individuals and patients with asthma were identified using the Gene Expression Omnibus database. Hub DNA damage response-related differentially expressed genes were determined via protein-protein interaction network and verified through gene expression analysis. Receiver operating characteristic curve was employed to identify diagnostic genes. Transcription factor-microRNA-target gene interactions were analyzed to uncover the regulatory networks in asthma pathogenesis. In this observational study, reverse transcription quantitative polymerase chain reaction was used to validate gene expression levels in healthy individuals and patients with asthma.ResultsSix of the nine hub genes (

Indexed as

AsthmaComputational BiologyDNA DamageBiomarkersCase-Control StudiesFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMicroRNAsProtein Interaction MapsTranscription FactorsBiomarkersMicroRNAsTranscription FactorsAsthmadiagnostic biomarkersDNA damage responseinflammationmicroRNA–transcription factor–target gene network

Identifiers

PMID40288048
PMCPMC12035324

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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.