Acute kidney injury (AKI) is a frequent complication of
sepsis and contributes to increased mortality. Discovery of reliable
biomarkers could enable identification of individuals with high AKI risk as well as early AKI detection and AKI progression monitoring. However, the current methods are insensitive and non-specific. This study aimed to identify new
biomarkers through label-free mass spectrometry (MS) analysis of a
sepsis model induced by cecal
ligation and
puncture (CLP). Urine samples were collected from septic rats at 0, 3, 6, 12, 24, and 48 h.
Protein isolated from urine was subjected to MS. Immunoregulatory biological processes, including immunoglobin production and wounding and defense responses, were upregulated at early time points. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses identified 77 significantly changed pathways. We further examined the consistently differentially expressed
proteins to seek
biomarkers that can be used for early diagnosis. Notably, the expression of PARK7 and CDH16 were changed in a continuous manner and related to the level of Scr in urine from patients. Therefore, PARK7 and CDH16 were confirmed to be novel
biomarkers after validation in
sepsis human patients. In summary, our study analyzed the proteomics of AKI at multiple time points, elucidated the related biological processes, and identified novel
biomarkers for early diagnosis of
sepsis-induced AKI, and our findings provide a theoretical basis for further research on the molecular mechanisms.