biostudies-literatureUnknown13Liu M<h4>Background</h4>Sepsis is a life-threatening disease causing millions of deaths every year. It has been reported that programmed cell death (PCD) plays a critical role in the development and progression of sepsis, which has the potential to be a diagnosis and prognosis indicator for patient with sepsis.<h4>Methods</h4>Fourteen PCD patterns were analyzed for model construction. Seven transcriptome datasets and a single cell sequencing dataset were collected from the Gene Expression Omnibus database.<h4>Results</h4>A total of 289 PCD-related differentially expressed genes were identified between sepsis patients and healthy individuals. The machine learning algorithm screened three PCD-related genes, NLRC4, TXN and S100A9, as potential biomarkers for sepsis. The area under curve of the diaPeerJe19077https://www.ebi.ac.uk/biostudies/studies/S-EPMC11871900biostudies-literatureLeveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning.PMC11871900Li XSheng YLiu MZhang YGao XWang HZhu RfalseLeveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning.<h4>Background</h4>Sepsis is a life-threatening disease causing millions of deaths every year. It has been reported that programmed cell death (PCD) plays a critical role in the development and progression of sepsis, which has the potential to be a diagnosis and prognosis indicator for patient with sepsis.<h4>Methods</h4>Fourteen PCD patterns were analyzed for model construction. Seven transcriptome datasets and a single cell sequencing dataset were collected from the Gene Expression Omnibus database.<h4>Results</h4>A total of 289 PCD-related differentially expressed genes were identified between sepsis patients and healthy individuals. The machine learning algorithm screened three PCD-related genes, NLRC4, TXN and S100A9, as potential biomarkers for sepsis. The area under curve of the dia2025-01-01T00:00:00Z20252026-06-02T19:15:27.099Z2025-04-04T02:47:46.621ZS-EPMC118719004002820310.7717/peerj.19077