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Time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction

BACKGROUND & AIMS: Sepsis-induced acute liver dysfunction often occurs early in sepsis and can exacerbate the pathology by triggering multiple organ dysfunction and increasing lethality. Nevertheless, our understanding of the cellular heterogeneity and dynamic regulation of major nonparenchymal...

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Autores principales: Chen, Gan, Ren, Chao, Xiao, Yao, Wang, Yujing, Yao, Renqi, Wang, Quan, You, Guoxing, Lu, Mingzi, Yan, Shaoduo, Zhang, Xiaoyong, Zhang, Jun, Yao, Yongming, Zhou, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130477/
https://www.ncbi.nlm.nih.gov/pubmed/37122356
http://dx.doi.org/10.1016/j.jhepr.2023.100718
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author Chen, Gan
Ren, Chao
Xiao, Yao
Wang, Yujing
Yao, Renqi
Wang, Quan
You, Guoxing
Lu, Mingzi
Yan, Shaoduo
Zhang, Xiaoyong
Zhang, Jun
Yao, Yongming
Zhou, Hong
author_facet Chen, Gan
Ren, Chao
Xiao, Yao
Wang, Yujing
Yao, Renqi
Wang, Quan
You, Guoxing
Lu, Mingzi
Yan, Shaoduo
Zhang, Xiaoyong
Zhang, Jun
Yao, Yongming
Zhou, Hong
author_sort Chen, Gan
collection PubMed
description BACKGROUND & AIMS: Sepsis-induced acute liver dysfunction often occurs early in sepsis and can exacerbate the pathology by triggering multiple organ dysfunction and increasing lethality. Nevertheless, our understanding of the cellular heterogeneity and dynamic regulation of major nonparenchymal cell lineages remains unclear. METHODS: Here, single-cell RNA sequencing was used to profile multiple nonparenchymal cell subsets and dissect their crosstalk during sepsis-induced acute liver dysfunction in a clinically relevant polymicrobial sepsis model. The transcriptomes of major liver nonparenchymal cells from control and sepsis mice were analysed. The alterations in the endothelial cell and neutrophil subsets that were closely associated with acute liver dysfunction were validated using multiplex immunofluorescence staining. In addition, the therapeutic efficacy of inhibiting activating transcription factor 4 (ATF4) in sepsis and sepsis-induced acute liver dysfunction was explored. RESULTS: Our results present the dynamic transcriptomic landscape of major nonparenchymal cells at single-cell resolution. We observed significant alterations and heterogeneity in major hepatic nonparenchymal cell subsets during sepsis. Importantly, we identified endothelial cell (CD31(+)Sele(+)Glut1(+)) and neutrophil (Ly6G(+)Lta4h(+)Sort1(+)) subsets that were closely associated with acute liver dysfunction during sepsis progression. Furthermore, we found that ATF4 inhibition alleviated sepsis-induced acute liver dysfunction, prolonging the survival of septic mice. CONCLUSIONS: These results elucidate the potential mechanisms and subsequent therapeutic targets for the prevention and treatment of sepsis-induced acute liver dysfunction and other liver-related diseases. IMPACT AND IMPLICATIONS: Sepsis-induced acute liver dysfunction often occurs early in sepsis and can lead to the death of the patient. Nevertheless, the pathogenesis of sepsis-induced acute liver dysfunction is not yet clear. We identified the major cell types associated with acute liver dysfunction and explored their interactions during sepsis. In addition, we also found that ATF-4 inhibition could be invoked as a potential therapeutic for sepsis-induced acute liver dysfunction.
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spelling pubmed-101304772023-04-27 Time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction Chen, Gan Ren, Chao Xiao, Yao Wang, Yujing Yao, Renqi Wang, Quan You, Guoxing Lu, Mingzi Yan, Shaoduo Zhang, Xiaoyong Zhang, Jun Yao, Yongming Zhou, Hong JHEP Rep Research Article BACKGROUND & AIMS: Sepsis-induced acute liver dysfunction often occurs early in sepsis and can exacerbate the pathology by triggering multiple organ dysfunction and increasing lethality. Nevertheless, our understanding of the cellular heterogeneity and dynamic regulation of major nonparenchymal cell lineages remains unclear. METHODS: Here, single-cell RNA sequencing was used to profile multiple nonparenchymal cell subsets and dissect their crosstalk during sepsis-induced acute liver dysfunction in a clinically relevant polymicrobial sepsis model. The transcriptomes of major liver nonparenchymal cells from control and sepsis mice were analysed. The alterations in the endothelial cell and neutrophil subsets that were closely associated with acute liver dysfunction were validated using multiplex immunofluorescence staining. In addition, the therapeutic efficacy of inhibiting activating transcription factor 4 (ATF4) in sepsis and sepsis-induced acute liver dysfunction was explored. RESULTS: Our results present the dynamic transcriptomic landscape of major nonparenchymal cells at single-cell resolution. We observed significant alterations and heterogeneity in major hepatic nonparenchymal cell subsets during sepsis. Importantly, we identified endothelial cell (CD31(+)Sele(+)Glut1(+)) and neutrophil (Ly6G(+)Lta4h(+)Sort1(+)) subsets that were closely associated with acute liver dysfunction during sepsis progression. Furthermore, we found that ATF4 inhibition alleviated sepsis-induced acute liver dysfunction, prolonging the survival of septic mice. CONCLUSIONS: These results elucidate the potential mechanisms and subsequent therapeutic targets for the prevention and treatment of sepsis-induced acute liver dysfunction and other liver-related diseases. IMPACT AND IMPLICATIONS: Sepsis-induced acute liver dysfunction often occurs early in sepsis and can lead to the death of the patient. Nevertheless, the pathogenesis of sepsis-induced acute liver dysfunction is not yet clear. We identified the major cell types associated with acute liver dysfunction and explored their interactions during sepsis. In addition, we also found that ATF-4 inhibition could be invoked as a potential therapeutic for sepsis-induced acute liver dysfunction. Elsevier 2023-03-01 /pmc/articles/PMC10130477/ /pubmed/37122356 http://dx.doi.org/10.1016/j.jhepr.2023.100718 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Chen, Gan
Ren, Chao
Xiao, Yao
Wang, Yujing
Yao, Renqi
Wang, Quan
You, Guoxing
Lu, Mingzi
Yan, Shaoduo
Zhang, Xiaoyong
Zhang, Jun
Yao, Yongming
Zhou, Hong
Time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction
title Time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction
title_full Time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction
title_fullStr Time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction
title_full_unstemmed Time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction
title_short Time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction
title_sort time-resolved single-cell transcriptomics reveals the landscape and dynamics of hepatic cells in sepsis-induced acute liver dysfunction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130477/
https://www.ncbi.nlm.nih.gov/pubmed/37122356
http://dx.doi.org/10.1016/j.jhepr.2023.100718
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