Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patients
Abstract Background Ferroptosis is closely associated with the pathophysiological processes of many diseases, such as infection, and is characterized by the accumulation of excess lipid peroxides on the cell membranes. However, studies on the ferroptosis-related diagnostic markers in tuberculosis (T...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-10-01
|
| Series: | European Journal of Medical Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40001-023-01371-5 |
| _version_ | 1797577312289423360 |
|---|---|
| author | Dilinuer Wufuer YuanYuan Li Haidiya Aierken JinPing Zheng |
| author_facet | Dilinuer Wufuer YuanYuan Li Haidiya Aierken JinPing Zheng |
| author_sort | Dilinuer Wufuer |
| collection | DOAJ |
| description | Abstract Background Ferroptosis is closely associated with the pathophysiological processes of many diseases, such as infection, and is characterized by the accumulation of excess lipid peroxides on the cell membranes. However, studies on the ferroptosis-related diagnostic markers in tuberculosis (TB) is still lacking. Our study aimed to explore the role of ferroptosis-related biomarkers and molecular subtypes in TB. Methods GSE83456 dataset was applied to identify ferroptosis-related genes (FRGs) associated with TB, and GSE42826, GSE28623, and GSE34608 datasets for external validation of core biomarkers. Core FRGs were identified using weighted gene co-expression network analysis (WGCNA). Subsequently, two ferroptosis-related subtypes were constructed based on ferroptosis score, and differently expressed analysis, GSEA, GSEA, immune cell infiltration analysis between the two subtypes were performed.Affiliations: Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.correctly Results A total of 22 FRGs were identified, of which three genes (CHMP5, SAT1, ZFP36) were identified as diagnostic biomarkers that were enriched in pathways related to immune-inflammatory response. In addition, TB patients were divided into high- and low-ferroptosis subtypes (HF and LF) based on ferroptosis score. HF patients had activated immune- and inflammation-related pathways and higher immune cell infiltration levels than LF patients. Conclusion Three potential diagnostic biomarkers and two ferroptosis-related subtypes were identified in TB patients, which would help to understand the pathogenesis of TB.Author names: Kindly check and confirm the process of the author names [2,4]correctly |
| first_indexed | 2024-03-10T22:06:29Z |
| format | Article |
| id | doaj.art-8f839ff2b56046839aa25eaa0c36dd96 |
| institution | Directory Open Access Journal |
| issn | 2047-783X |
| language | English |
| last_indexed | 2024-03-10T22:06:29Z |
| publishDate | 2023-10-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj.art-8f839ff2b56046839aa25eaa0c36dd962023-11-19T12:46:35ZengBMCEuropean Journal of Medical Research2047-783X2023-10-0128111310.1186/s40001-023-01371-5Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patientsDilinuer Wufuer0YuanYuan Li1Haidiya Aierken2JinPing Zheng3The First Affiliated Hospital of Guangzhou Medical University/National Clinical Research Center for Respiratory Disease/National Respiratory Medical Center/State Key Laboratory of Respiratory Disease/Guangzhou Institute of Respiratory HealthDepartment of Respiratory Medicine, Eighth Affiliated Hospital of Xinjiang Medical UniversityDepartment of Respiratory Medicine, First Affiliated Hospital of Xinjiang Medical UniversityThe First Affiliated Hospital of Guangzhou Medical University/National Clinical Research Center for Respiratory Disease/National Respiratory Medical Center/State Key Laboratory of Respiratory Disease/Guangzhou Institute of Respiratory HealthAbstract Background Ferroptosis is closely associated with the pathophysiological processes of many diseases, such as infection, and is characterized by the accumulation of excess lipid peroxides on the cell membranes. However, studies on the ferroptosis-related diagnostic markers in tuberculosis (TB) is still lacking. Our study aimed to explore the role of ferroptosis-related biomarkers and molecular subtypes in TB. Methods GSE83456 dataset was applied to identify ferroptosis-related genes (FRGs) associated with TB, and GSE42826, GSE28623, and GSE34608 datasets for external validation of core biomarkers. Core FRGs were identified using weighted gene co-expression network analysis (WGCNA). Subsequently, two ferroptosis-related subtypes were constructed based on ferroptosis score, and differently expressed analysis, GSEA, GSEA, immune cell infiltration analysis between the two subtypes were performed.Affiliations: Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.correctly Results A total of 22 FRGs were identified, of which three genes (CHMP5, SAT1, ZFP36) were identified as diagnostic biomarkers that were enriched in pathways related to immune-inflammatory response. In addition, TB patients were divided into high- and low-ferroptosis subtypes (HF and LF) based on ferroptosis score. HF patients had activated immune- and inflammation-related pathways and higher immune cell infiltration levels than LF patients. Conclusion Three potential diagnostic biomarkers and two ferroptosis-related subtypes were identified in TB patients, which would help to understand the pathogenesis of TB.Author names: Kindly check and confirm the process of the author names [2,4]correctlyhttps://doi.org/10.1186/s40001-023-01371-5TuberculosisFerroptosisDiagnostic biomarkersxCellMolecular types |
| spellingShingle | Dilinuer Wufuer YuanYuan Li Haidiya Aierken JinPing Zheng Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patients European Journal of Medical Research Tuberculosis Ferroptosis Diagnostic biomarkers xCell Molecular types |
| title | Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patients |
| title_full | Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patients |
| title_fullStr | Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patients |
| title_full_unstemmed | Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patients |
| title_short | Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis patients |
| title_sort | bioinformatics led discovery of ferroptosis associated diagnostic biomarkers and molecule subtypes for tuberculosis patients |
| topic | Tuberculosis Ferroptosis Diagnostic biomarkers xCell Molecular types |
| url | https://doi.org/10.1186/s40001-023-01371-5 |
| work_keys_str_mv | AT dilinuerwufuer bioinformaticsleddiscoveryofferroptosisassociateddiagnosticbiomarkersandmoleculesubtypesfortuberculosispatients AT yuanyuanli bioinformaticsleddiscoveryofferroptosisassociateddiagnosticbiomarkersandmoleculesubtypesfortuberculosispatients AT haidiyaaierken bioinformaticsleddiscoveryofferroptosisassociateddiagnosticbiomarkersandmoleculesubtypesfortuberculosispatients AT jinpingzheng bioinformaticsleddiscoveryofferroptosisassociateddiagnosticbiomarkersandmoleculesubtypesfortuberculosispatients |