Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts.

Journal: Lipids in health and disease

PMID: 40340817

Abstract

BACKGROUND: Dysregulated programmed cell death pathways mechanistically contribute to hepatic inflammation and fibrogenesis in non-alcoholic steatohepatitis (NASH). Identification of cell death genes may offer insights into diagnostic and therapeutic strategies for NASH.

Authors

Renao Jiang

Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui Province, 230022, China.
Longfei Dai

Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui Province, 230022, China.
Xinjian Xu

Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui Province, 230022, China.
Zhen Zhang

School of Pharmacy, Jining Medical University, Rizhao, Shandong, China.

Keywords

Algorithms Cell Death Cohort Studies Female Gene Expression Profiling Humans Inflammation Lipid Metabolism Liver Liver Cirrhosis Machine Learning Male Non-alcoholic Fatty Liver Disease

External Resources

View on PubMed Access via DOI PubMed (40340817)

Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts.

Abstract

Authors

Keywords

External Resources

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