Diagnostic model constructed by five EMT-related genes for renal fibrosis and reflecting the condition of immune-related cells.

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作者： Yangyang,Guo ^[1] ; Ziwei,Yuan ^[2] ; Zujian,Hu ^[2] ; Yuanyuan,Gao ^[2] ; Hangcheng,Guo ^[2] ; Hengyue,Zhu ^[3] ; Kai,Hong ^[1] ; Kenan,Cen ^[4] ; Yifeng,Mai ^[4] ; Yongheng,Bai ^[2] ; Xuejia,Yang ^[2]

作者单位： Department of General Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, China. ^[1] Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. ^[2] Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. ^[3] The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China. ^[4]

关键词 EMT diagnostic biomarkers immune cell machine learning renal fibrosis

主题词人类(Humans);上皮-间质转化(Epithelial-Mesenchymal Transition);基因, 调节(Genes, Regulator);信号传导(Signal Transduction);算法(Algorithms);肾疾病(Kidney Diseases)

DOI 10.3389/fimmu.2023.1161436

PMID 37266443

发布时间 2023-06-06

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