As a pivotal component of systems biology, multiomics is widely employed in the biomedical sciences through integrating information from genomics, transcriptomics, proteomics, metabolomics, and microbiome, and it provides a novel perspective for revealing the pathogenesis, diagnosis and treatment of diseases. Sepsis is an acute and severe symptom with high mortality and disability rates. Early identification and intervention play crucial role in improving the prognosis of patients with sepsis. The present review primarily focuses on elucidating the application of multiomics technology in preventing and treating sepsis while providing theoretical basis for constructing early prediction model of sepsis as well as identifying novel therapeutic targets