This study addresses this gap by integrating single-cell transcriptomics, machine learning, and cell communication analysis to investigate the expression patterns, immune associations, and prognostic relevance of ZDHHC19 in sepsis. This evidence concerns the gene ZDHHC19 and Sepsis.