Identification and experimental validation of mitochondria-related genes biomarkers associated with immune infiltration for sepsis

• Published in: Frontiers in immunology Vol. 14; p. 1184126
• Main Authors: Shu, Qi, She, Han, Chen, Xi, Zhong, Like, Zhu, Junfeng, Fang, Luo
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 09.05.2023
• Subjects: Algorithms; Biomarkers; DNA, Mitochondrial; Humans; immune cell infiltration; Immunology; machine learning algorithm; mito-chondrial quality imbalance; mitochondria; Mitochondria - genetics; sepsis; Sepsis - genetics; immune cell infiltration; machine learning algorithm; mito-chondrial quality imbalance; mitochondria; sepsis

Sepsis remains a complex condition with incomplete understanding of its pathogenesis. Further research is needed to identify prognostic factors, risk stratification tools, and effective diagnostic and therapeutic targets. Three GEO datasets (GSE54514, GSE65682, and GSE95233) were used to explore the...