REG1A may be a new biological marker for diagnosing sepsis

Abstract

Abstract Objective The aim of this study was to analyze the proteomic mass spectrometry of sepsis patients as well as normal subjects, and then to explore the characteristic proteins related to the pathogenesis of sepsis, and then to provide the basis for the clinical diagnosis and treatment of sepsis. METHODS Peripheral blood specimens from sepsis patients (n = 17) and normal subjects (n = 8) were analyzed by proteomic mass spectrometry sequencing, and the R-based Integrated Differential Expression and Pathway Analysis (iDEP) (http://bioinformatics.sdstate.edu/idep/) web tool was used to screen and analyze differentially expressed genes (iDEPs) and low-expressed genes (iDEPs). Screening analysis finalized the differentially expressed genes (DEGs, log2FC ≥ 1, P value ≤ 0.05). Differential proteins were screened for potential core proteins by enrichment analysis and combined with the subjects' work characterization curves (ROC curves), and finally the analysis results were verified by ELISA experiments. RESULTS Differential proteins were finally screened by the analysis, and the results were validated by ELISA to clarify that REG1A has a guiding significance in the diagnosis, differential diagnosis, and prognosis of sepsis disease. CONCLUSION Bioinformatics analysis of protein expression profiles in this study identified that the protein REG1A may represent a molecular mechanism for the onset, progression, and risk prediction of sepsis.