Evidence map›Paper›PMID 41063057›Full record

ArticleBMC infectious diseases2025

Unveiling the crucial genomic players in pulmonary tuberculosis-associated ferroptosis through bioinformatics scrutiny.

Xing Wei, Lan Zheng, Yifeng Yu, Ge Xu, Huijie Bao, Xia Wu, Cuo Qing, Dacai Gong

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Article in BMC infectious diseases, 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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5 · Who and what money

Authors and funding

8 authors.

Xing Wei *Department of Clinical Laboratory, Pidu District People's Hospital, Third Affiliated Hospital of Chengdu Medical College, Chengdu, 611730, Sichuan, China.
Lan Zheng *Department of Clinical Laboratory, Pidu District People's Hospital, Third Affiliated Hospital of Chengdu Medical College, Chengdu, 611730, Sichuan, China.
Yifeng YuChinaSchool of Life Science and Technology, Jiangsu University Jingjiang College, Zhenjiang, Jiangsu, China.
Ge XuDepartment of Clinical Laboratory, Pidu District People's Hospital, Third Affiliated Hospital of Chengdu Medical College, Chengdu, 611730, Sichuan, China.
Huijie BaoSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Xia WuDepartment of Respiratory, Pidu District People's Hospital, Third Affiliated Hospital of Chengdu Medical College, Chengdu, 611730, Sichuan, China.
Cuo QingDepartment of Respiratory, Pidu District People's Hospital, Third Affiliated Hospital of Chengdu Medical College, Chengdu, 611730, Sichuan, China. Weixing19841205@126.com.
Dacai GongDepartment of Clinical Laboratory, Pidu District People's Hospital, Third Affiliated Hospital of Chengdu Medical College, Chengdu, 611730, Sichuan, China. Gongdacai@163.com.

Funding

Joint Scientific Research Fund of Chengdu Medical College and Chengdu's Pidu District People's Hospital 2021LHPJ-11Screening and verification of serum IncRNA as a molecular marker for early diagnosis of pulmonary tuberculosis based on bioinformatics, Chengdu Healt Commission 2021139The Youth Fund of Sichuan Medical Association Q21094
6 · The paper itself

Abstract

backgroundTuberculosis (TB) is a persistent infectious disease primarily impacting the lungs. Despite its global prevalence, conventional diagnostic methods suffer from prolonged detection times and low sensitivity, leading to diagnostic challenges and suboptimal patient outcomes. Ferroptosis, which is marked by an accumulation of iron-dependent lipid peroxides and subsequent lipid peroxidation, has emerged as a promising prognostic indicator of various maladies. This study aims to identify and pinpoint ferroptosis-related genes pertinent to pulmonary tuberculosis (PTB), offering potential molecular indicators for the early diagnosis, treatment, and prognosis of PTB.

methodsEmploying bioinformatics analysis and transcriptome sequencing data of tuberculosis patients, this research screened for differentially expressed ferroptosis-related genes in tuberculosis sourced from FerrDb, with subsequent identification of key genes. Whole blood samples collected from 10 tuberculosis patients and 10 healthy volunteers were used for fluorescence-based real-time quantitative polymerase chain reaction (qRT-PCR) to validate the expression levels of identified genes, laying the groundwork for early tuberculosis diagnosis and clinical intervention.

resultsA total of 20 differentially expressed ferroptosis-related genes were identified from the database. Gene Ontology functional enrichment analysis highlighted their involvement in biological processes like hypoxia response, enzyme activity, and autophagy. By constructing a protein-protein interaction network via STRING and integrating it with enrichment analysis, key ferroptosis genes in PTB, including HRAS, ATF3, MAPK8, ATM, IDH1, and HIF1A, were singled out. The results of qRT-PCR demonstrate significantly elevated expression levels of ATF3 and MAPK8 in PTB patients compared to those of healthy controls (P < 0.05).

conclusionATF3 and MAPK8 emerged as pivotal ferroptosis-related genes in PTB, holding promise as molecular markers for PTB diagnosis and treatment.

Indexed as

Computational BiologyFerroptosisTuberculosis, PulmonaryAdultFemaleGene Expression ProfilingGenomicsHumansMaleMycobacterium tuberculosisProtein Interaction MapsATF3BioinformaticsMAPK8Pulmonary tuberculosisTuberculosis

Identifiers

PMID41063057
PMCPMC12505692

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