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

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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278705/
https://www.ncbi.nlm.nih.gov/pubmed/37083129
http://dx.doi.org/10.1097/CM9.0000000000002679
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author 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
author_facet 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
author_sort Tang, Rong
collection PubMed
description 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 immunohistochemistry staining. RESULTS: 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. CONCLUSION: 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 reveal new insights into the pathogenesis and potential therapeutic strategies in ischemic AKI.
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spelling pubmed-102787052023-06-20 Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury 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 Chin Med J (Engl) Original Article 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 immunohistochemistry staining. RESULTS: 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. CONCLUSION: 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 reveal new insights into the pathogenesis and potential therapeutic strategies in ischemic AKI. Lippincott Williams & Wilkins 2023-04-20 2023-05-20 /pmc/articles/PMC10278705/ /pubmed/37083129 http://dx.doi.org/10.1097/CM9.0000000000002679 Text en Copyright © 2023 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Article
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
Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury
title Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury
title_full Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury
title_fullStr Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury
title_full_unstemmed Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury
title_short Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury
title_sort single-cell rna sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278705/
https://www.ncbi.nlm.nih.gov/pubmed/37083129
http://dx.doi.org/10.1097/CM9.0000000000002679
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