Decoding the mitochondrial connection: development and validation of biomarkers for classifying and treating systemic lupus erythematosus through bioinformatics and machine learning

Decoding the mitochondrial connection: development and validation of biomarkers for classifying and treating systemic lupus erythematosus through bioinformatics and machine learning

Abstract Background Systemic lupus erythematosus (SLE) is a multifaceted autoimmune disease characterized by clinical and pathological diversity. Mitochondrial dysfunction has been identified as a critical pathogenetic factor in SLE. However, the specific molecular aspects and regulatory roles of th...

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Bibliographic Details
Main Authors: Haoguang Li, Lu Zhou, Wei Zhou, Xiuling Zhang, Jingjing Shang, Xueqin Feng, Le Yu, Jie Fan, Jie Ren, Rongwei Zhang, Xinwang Duan
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Rheumatology
Subjects:
Systemic Lupus Erythematosus (SLE)
Mitochondria-related genes (MRGs)
Biomarkers
Bioinformatics
Machine learning
Online Access:https://doi.org/10.1186/s41927-023-00369-0

Internet

https://doi.org/10.1186/s41927-023-00369-0

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