Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury

• Published in: 中华医学杂志英文版 Vol. 136; no. 10; pp. 1177 - 1187
• Main Authors: Tang Rong, Jin Peng, Shen Chanjuan, Lin Wei, Yu Leilin, Hu Xueling, Meng Ting, Zhang Linlin, Peng Ling, Xiao Xiangcheng, Eggenhuizen Peter, Ooi Joshua D, Wu Xueqin, Ding Xiang, Zhong Yong
• Format: Journal Article
• Language: Chinese
• Published: Department of Nephrology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China%Key Laboratory of Biological Nanotechnology of National Health Commission, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China%Department of Organ Transplantation, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China%Department of Hematology, The Affiliated Zhuzhou Hospital Xiangya Medical College, Central South University, Zhuzhou, Hunan 412007, China%Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China%Department of Nephrology, Jiujiang Hospital of Traditional Chinese Medicine, Jiujiang, Jiangxi 332099, China%Department of Medicine, Centre for Inflammatory Diseases, Monash Medical Centre, Monash University, Clayton, VIC 3168, Australia%Department of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, China%National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China 2023
• Subjects: Proximal tubule cells; Single-cell RNA sequencing; Inflammation; Ischemic acute kidney injury; Cell-cell crosstalk; Apoptosis
• ISSN: 0366-6999
• DOI: 10.1097/CM9.0000000000002679

Background::Ischemic acute kidney injury (AKI) is a common syndrome associated with considerable mortality and healthcare costs. Up to now, the underlying pathogenesis of ischemic AKI remains incompletely understood, and specific strategies for early diagnosis and treatment of ischemic AKI are still lacking. Here, this study aimed to define the transcriptomic landscape of AKI patients through single-cell RNA sequencing (scRNA-seq) analysis in kidneys.Methods::In this study, scRNA-seq technology was applied to kidneys from two ischemic AKI patients, and three human public scRNA-seq datasets were collected as controls. Differentially expressed genes (DEGs) and cell clusters of kidneys were determined. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, as well as the ligand-receptor interaction between cells, were performed. We also validated several DEGs expression in kidneys from human ischemic AKI and ischemia/reperfusion (I/R) injury induced AKI mice through im