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Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury
BACKGROUND: Acute kidney injury (AKI) occurs frequently in critically ill patients and is associated with adverse outcomes. Cellular mechanisms underlying AKI and kidney cell responses to injury remain incompletely understood. METHODS: We performed single-nuclei transcriptomics, bulk transcriptomics...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462075/ https://www.ncbi.nlm.nih.gov/pubmed/36085050 http://dx.doi.org/10.1186/s13073-022-01108-9 |
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author | Hinze, Christian Kocks, Christine Leiz, Janna Karaiskos, Nikos Boltengagen, Anastasiya Cao, Shuang Skopnik, Christopher Mark Klocke, Jan Hardenberg, Jan-Hendrik Stockmann, Helena Gotthardt, Inka Obermayer, Benedikt Haghverdi, Laleh Wyler, Emanuel Landthaler, Markus Bachmann, Sebastian Hocke, Andreas C. Corman, Victor Busch, Jonas Schneider, Wolfgang Himmerkus, Nina Bleich, Markus Eckardt, Kai-Uwe Enghard, Philipp Rajewsky, Nikolaus Schmidt-Ott, Kai M. |
author_facet | Hinze, Christian Kocks, Christine Leiz, Janna Karaiskos, Nikos Boltengagen, Anastasiya Cao, Shuang Skopnik, Christopher Mark Klocke, Jan Hardenberg, Jan-Hendrik Stockmann, Helena Gotthardt, Inka Obermayer, Benedikt Haghverdi, Laleh Wyler, Emanuel Landthaler, Markus Bachmann, Sebastian Hocke, Andreas C. Corman, Victor Busch, Jonas Schneider, Wolfgang Himmerkus, Nina Bleich, Markus Eckardt, Kai-Uwe Enghard, Philipp Rajewsky, Nikolaus Schmidt-Ott, Kai M. |
author_sort | Hinze, Christian |
collection | PubMed |
description | BACKGROUND: Acute kidney injury (AKI) occurs frequently in critically ill patients and is associated with adverse outcomes. Cellular mechanisms underlying AKI and kidney cell responses to injury remain incompletely understood. METHODS: We performed single-nuclei transcriptomics, bulk transcriptomics, molecular imaging studies, and conventional histology on kidney tissues from 8 individuals with severe AKI (stage 2 or 3 according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria). Specimens were obtained within 1–2 h after individuals had succumbed to critical illness associated with respiratory infections, with 4 of 8 individuals diagnosed with COVID-19. Control kidney tissues were obtained post-mortem or after nephrectomy from individuals without AKI. RESULTS: High-depth single cell-resolved gene expression data of human kidneys affected by AKI revealed enrichment of novel injury-associated cell states within the major cell types of the tubular epithelium, in particular in proximal tubules, thick ascending limbs, and distal convoluted tubules. Four distinct, hierarchically interconnected injured cell states were distinguishable and characterized by transcriptome patterns associated with oxidative stress, hypoxia, interferon response, and epithelial-to-mesenchymal transition, respectively. Transcriptome differences between individuals with AKI were driven primarily by the cell type-specific abundance of these four injury subtypes rather than by private molecular responses. AKI-associated changes in gene expression between individuals with and without COVID-19 were similar. CONCLUSIONS: The study provides an extensive resource of the cell type-specific transcriptomic responses associated with critical illness-associated AKI in humans, highlighting recurrent disease-associated signatures and inter-individual heterogeneity. Personalized molecular disease assessment in human AKI may foster the development of tailored therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01108-9. |
format | Online Article Text |
id | pubmed-9462075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94620752022-09-10 Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury Hinze, Christian Kocks, Christine Leiz, Janna Karaiskos, Nikos Boltengagen, Anastasiya Cao, Shuang Skopnik, Christopher Mark Klocke, Jan Hardenberg, Jan-Hendrik Stockmann, Helena Gotthardt, Inka Obermayer, Benedikt Haghverdi, Laleh Wyler, Emanuel Landthaler, Markus Bachmann, Sebastian Hocke, Andreas C. Corman, Victor Busch, Jonas Schneider, Wolfgang Himmerkus, Nina Bleich, Markus Eckardt, Kai-Uwe Enghard, Philipp Rajewsky, Nikolaus Schmidt-Ott, Kai M. Genome Med Research BACKGROUND: Acute kidney injury (AKI) occurs frequently in critically ill patients and is associated with adverse outcomes. Cellular mechanisms underlying AKI and kidney cell responses to injury remain incompletely understood. METHODS: We performed single-nuclei transcriptomics, bulk transcriptomics, molecular imaging studies, and conventional histology on kidney tissues from 8 individuals with severe AKI (stage 2 or 3 according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria). Specimens were obtained within 1–2 h after individuals had succumbed to critical illness associated with respiratory infections, with 4 of 8 individuals diagnosed with COVID-19. Control kidney tissues were obtained post-mortem or after nephrectomy from individuals without AKI. RESULTS: High-depth single cell-resolved gene expression data of human kidneys affected by AKI revealed enrichment of novel injury-associated cell states within the major cell types of the tubular epithelium, in particular in proximal tubules, thick ascending limbs, and distal convoluted tubules. Four distinct, hierarchically interconnected injured cell states were distinguishable and characterized by transcriptome patterns associated with oxidative stress, hypoxia, interferon response, and epithelial-to-mesenchymal transition, respectively. Transcriptome differences between individuals with AKI were driven primarily by the cell type-specific abundance of these four injury subtypes rather than by private molecular responses. AKI-associated changes in gene expression between individuals with and without COVID-19 were similar. CONCLUSIONS: The study provides an extensive resource of the cell type-specific transcriptomic responses associated with critical illness-associated AKI in humans, highlighting recurrent disease-associated signatures and inter-individual heterogeneity. Personalized molecular disease assessment in human AKI may foster the development of tailored therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-022-01108-9. BioMed Central 2022-09-09 /pmc/articles/PMC9462075/ /pubmed/36085050 http://dx.doi.org/10.1186/s13073-022-01108-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hinze, Christian Kocks, Christine Leiz, Janna Karaiskos, Nikos Boltengagen, Anastasiya Cao, Shuang Skopnik, Christopher Mark Klocke, Jan Hardenberg, Jan-Hendrik Stockmann, Helena Gotthardt, Inka Obermayer, Benedikt Haghverdi, Laleh Wyler, Emanuel Landthaler, Markus Bachmann, Sebastian Hocke, Andreas C. Corman, Victor Busch, Jonas Schneider, Wolfgang Himmerkus, Nina Bleich, Markus Eckardt, Kai-Uwe Enghard, Philipp Rajewsky, Nikolaus Schmidt-Ott, Kai M. Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury |
title | Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury |
title_full | Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury |
title_fullStr | Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury |
title_full_unstemmed | Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury |
title_short | Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury |
title_sort | single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462075/ https://www.ncbi.nlm.nih.gov/pubmed/36085050 http://dx.doi.org/10.1186/s13073-022-01108-9 |
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