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Bioinformatics-led discovery of ferroptosis-associated diagnostic biomarkers and molecule subtypes for tuberculosis

Dilinuer Wufuer¹, YuanYuan Li², Haidiya Aierken³

¹The 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 Health, NO. 151 Yanjang Road, Guangzhou, 510120, China.

European Journal of Medical Research

|October 18, 2023

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.

Insights

This study identifies three diagnostic biomarkers and two ferroptosis subtypes in tuberculosis (TB) patients, offering new insights into TB pathogenesis and potential diagnostic tools for this infectious disease.

Area of Science:

Biomedical research
Molecular biology
Immunology

Background:

Ferroptosis, a cell death process involving lipid peroxide accumulation, is linked to various diseases.
Tuberculosis (TB) pathogenesis is associated with ferroptosis, but specific diagnostic markers remain underexplored.
Understanding ferroptosis's role is crucial for developing novel TB diagnostic strategies.

Purpose of the Study:

To identify ferroptosis-related genes (FRGs) associated with TB.
To explore the potential of FRGs as diagnostic biomarkers for TB.
To investigate ferroptosis-related molecular subtypes in TB patients.

Main Methods:

Utilized bioinformatics analysis on public datasets (GSE83456, GSE42826, GSE28623, GSE34608).
Applied weighted gene co-expression network analysis (WGCNA) to identify core FRGs.
Constructed ferroptosis-related subtypes and performed differential expression and immune cell infiltration analyses.

Main Results:

Identified 22 FRGs, with CHMP5, SAT1, and ZFP36 selected as key diagnostic biomarkers.
These biomarkers are enriched in immune-inflammatory response pathways.
TB patients were classified into high-ferroptosis (HF) and low-ferroptosis (LF) subtypes, with HF patients exhibiting heightened immune and inflammatory activity.

Conclusions:

Discovered three potential diagnostic biomarkers (CHMP5, SAT1, ZFP36) for TB.
Identified two distinct ferroptosis-related molecular subtypes in TB patients.
Findings contribute to understanding TB pathogenesis and may aid in developing new diagnostic approaches.

Read full analysis

Keywords:

Diagnostic biomarkers Ferroptosis Molecular types Tuberculosis xCell

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