Sepsis frequently leads to the deadly consequence known as Acute Respiratory Distress Syndrome (ARDS). Early recognition's molecular mechanisms still have several limitations. The study's goal was to pinpoint any potential genetic differences between sepsis on its own and sepsis-induced ARDS. For bioinformatic analysis, the gene expression profiles of GSE66890 were chosen from the Gene Expression Omnibus (GEO) database. A co-expression network was built using the Weight Gene Co-Expression Network Analysis (WGCNA) to study the relationships between gene sets and clinical features and to pinpoint prospective hub genes. Then, we used GSE10474 and GSE32707 to confirm our findings. In the context of looking for new molecular targets, our research offers a more effective knowledge of the significance of biological pathways and the interactions between key genes in sepsis-induced ARDS. For sepsis-induced ARDS, promising diagnostic biomarkers include TOP2A, CENPF, DLGAP5, and BIRC5.