Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression to chronic kidney disease.

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第一作者： Jennifer R,Charlton

第一单位： School of Medicine, Department of Pediatrics, Division Nephrology, University of Virginia, Box 800386, Charlottesville, VA, 22903, USA. jrc6n@virginia.edu.

作者： Jennifer R,Charlton ^[1] ; Teng,Li ^[2] ; Teresa,Wu ^[3] ; Kimberly,deRonde ^[4] ; Yanzhe,Xu ^[3] ; Edwin J,Baldelomar ^[5] ; Kevin M,Bennett ^[5]

作者单位： School of Medicine, Department of Pediatrics, Division Nephrology, University of Virginia, Box 800386, Charlottesville, VA, 22903, USA. jrc6n@virginia.edu. ^[1] Department of Computer Science, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA. ^[2] Department of Industrial Engineering, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA. ^[3] School of Medicine, Department of Pediatrics, Division Nephrology, University of Virginia, Box 800386, Charlottesville, VA, 22903, USA. ^[4] Washington University in St. Louis, Mallinckrodt Institute of Radiology, St. Louis MO, USA. ^[5]

关键词 Biomarker CFE-MRI Folic acid nephropathy Nephron number

主题词男(雄)性(Male);小鼠(Mice);动物(Animals);胰岛素样生长因子结合蛋白质3(Insulin-Like Growth Factor Binding Protein 3);趋化因子CX3CL1(Chemokine CX3CL1);肾功能不全, 慢性(Renal Insufficiency, Chronic);急性肾损伤(Acute Kidney Injury)

DOI 10.1186/s12882-023-03196-0

PMID 37331957

发布时间 2023-07-13

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