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

• Published in: Chinese medical journal 2023-05, Vol.136 (10), p.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: Article
• Language: English
• Subjects: Acute Kidney Injury - genetics; Acute Kidney Injury - metabolism; Adaptor Proteins, Signal Transducing - metabolism; Animals; Apoptosis; Bar codes; Biopsy; Biotechnology industry; Cluster analysis; Gene expression; Genomics; Hospitals; Humans; Ischemia; Ischemia - genetics; Ischemia - metabolism; Kidney - metabolism; Kidneys; Ligands; Mice; Original; Proteins; Reperfusion Injury - metabolism; Sequence Analysis, RNA; Software; Transcriptome - genetics; Tumor Suppressor Proteins - metabolism
• ISSN: 0366-6999; 2542-5641
• DOI: 10.1097/CM9.0000000000002679

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. 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 immunohistochemistry staining. 15 distinct cell clusters were determined in kidney from subjects of ischemic AKI and control. The injured proximal tubules (PT) displayed a proapoptotic and proinflammatory phenotype. PT cells of ischemic AKI had up-regulation of novel pro-apoptotic genes including USP47 , RASSF4 , EBAG9 , IER3 , SASH1 , SEPTIN7 , and NUB1 , which have not been reported in ischemic AKI previously. Several hub genes were validated in kidneys from human AKI and renal I/R injury mice, respectively. Furthermore, PT highly expressed DEGs enriched in endoplasmic reticulum stress, autophagy, and retinoic acid-inducible gene I (RIG-I) signaling. DEGs overexpressed in other tubular cells were primarily enriched in nucleotide-binding and oligomerization domain (NOD)-like receptor signaling, estrogen signaling, interleukin (IL)-12 signaling, and IL-17 signaling. Overexpressed genes in kidney-resident immune cells including macrophages, natural killer T (NKT) cells, monocytes, and dendritic cells were associated with leukocyte activation, chemotaxis, cell adhesion, and complement activation. In addition, the ligand-receptor interactions analysis revealed prominent communications between macrophages and monocytes with other cells in the process of ischemic AKI. Together, this study reveals distinct cell-specific transcriptomic atlas of kidney in ischemic AKI patients, altered signaling pathways, and potential cell-cell crosstalk in the development of AKI. These data revea