Evidence map›Paper›PMID 40808944›Full record

ArticleFrontiers in immunology2025

Experimental validation of cuproptosis-associated molecular signatures and their immunological implications in pulmonary tuberculosis.

Xiaofang Liu, Qianqian Ma, Zhiming Li, Yong Xue, Jie Mi, Yuxi Li, Chunfeng Bai, Donglin Guo, Yinping Liu, Yan Liang and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

12 authors.

Xiaofang LiuBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Tuberculosis Research, Senior Department of Tuberculosis, the Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Qianqian MaBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Tuberculosis Research, Senior Department of Tuberculosis, the Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Zhiming LiSenior Department of Tuberculosis, The Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Yong XueBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Tuberculosis Research, Senior Department of Tuberculosis, the Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Jie MiBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Tuberculosis Research, Senior Department of Tuberculosis, the Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Yuxi LiSenior Department of Tuberculosis, The Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Chunfeng BaiSenior Department of Tuberculosis, The Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Donglin GuoSenior Department of Tuberculosis, The Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Yinping LiuBeijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Tuberculosis Research, Senior Department of Tuberculosis, the Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Yan Liang *Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Tuberculosis Research, Senior Department of Tuberculosis, the Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Jianqin Liang *Senior Department of Tuberculosis, The Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.
Xueqiong Wu *Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Tuberculosis Research, Senior Department of Tuberculosis, the Eighth Medical Center of People's Liberation Army (PLA) General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pathogenic mechanism underlying Methods: Differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were carried out using the GSE83456 dataset. PTB-associated DEGs were intersected with CRGs to identify PTB-related CRGs. Subsequent analyses included functional enrichment, gene interaction, and protein-protein interaction (PPI) network construction. Hub CRGs were screened out via least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithms. Diagnostic models were subsequently constructed and validated. The associations of immune cell infiltration and pathway with the identified hub genes were evaluated through single-sample gene set enrichment analysis (ssGSEA) and CIBERSORT. Hub gene expressions were validated in the GSE42834 and GSE89403 datasets, as well as by RT-qPCR and Western blot (WB) in PTB and extrapulmonary tuberculosis (EPTB) patients. The GSE89403 dataset and gene expression profiling were leveraged to analyze the differential expression of hub genes and their dynamic changes during treatment. Results: Seven PTB-related CRGs were significantly upregulated, were significantly upregulated, among which ASPHD2, GK, and GCH1 were identified as hub genes. These genes exhibited high expression levels in patients with PTB and EPTB, with marked reductions observed following treatment. Notable alterations in immune cell infiltration and immune function in PTB patients were closely related to these hub genes, suggesting activation of innate immune responses and suppression of adaptive immune function. Conclusion: The cuproptosis hub genes ASPHD2, GK, and GCH1 influence the pathogenesis of PTB, and possibly serve as novel diagnostic biomarkers and therapeutic targets.

Indexed as

TranscriptomeTuberculosis, PulmonaryBiomarkersComputational BiologyDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansMycobacterium tuberculosisProtein Interaction MapsBiomarkerscuproptosisexperimental validationgene expression analysisimmune dysregulationpulmonary tuberculosis

Identifiers

PMID40808944
PMCPMC12343668

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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.