Screening of mitochondrial-related biomarkers connected with immune infiltration for acute respiratory distress syndrome through WGCNA and machine learning.

ABSTRACT: Septic acute respiratory distress syndrome (ARDS) is a complex and noteworthy type, but its molecular mechanism has not been fully elucidated. The aim is to explore specific biomarkers to diagnose sepsis-induced ARDS. Gene expression data of sepsis alone and sepsis-induced ARDS were downloaded from public databases, and the differential immune cells and differential expressed genes between the 2 groups were screened. Weighted gene co-expression network analysis was used to identify immune cells-related module genes, and then integrated with mitochondrial genes to obtain common genes. Next, least absolute shrinkage and selection operator, random forest, and support vector machine-recursive feature elimination were utilized to construct a nomogram model. Meanwhile, the biological function an

SUBMITTER: Sun W 

PROVIDER: S-EPMC11903030 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature