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Transcriptomic Cross‐Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice

Mouse models are frequently used to study chronic liver diseases (CLDs). To assess their translational relevance, we quantified the similarity of commonly used mouse models to human CLDs based on transcriptome data. Gene‐expression data from 372 patients were compared with data from acute and chroni...

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Autores principales: Holland, Christian H., Ramirez Flores, Ricardo O., Myllys, Maiju, Hassan, Reham, Edlund, Karolina, Hofmann, Ute, Marchan, Rosemarie, Cadenas, Cristina, Reinders, Jörg, Hoehme, Stefan, Seddek, Abdel‐latif, Dooley, Steven, Keitel, Verena, Godoy, Patricio, Begher‐Tibbe, Brigitte, Trautwein, Christian, Rupp, Christian, Mueller, Sebastian, Longerich, Thomas, Hengstler, Jan G., Saez‐Rodriguez, Julio, Ghallab, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710791/
https://www.ncbi.nlm.nih.gov/pubmed/34558834
http://dx.doi.org/10.1002/hep4.1797
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author Holland, Christian H.
Ramirez Flores, Ricardo O.
Myllys, Maiju
Hassan, Reham
Edlund, Karolina
Hofmann, Ute
Marchan, Rosemarie
Cadenas, Cristina
Reinders, Jörg
Hoehme, Stefan
Seddek, Abdel‐latif
Dooley, Steven
Keitel, Verena
Godoy, Patricio
Begher‐Tibbe, Brigitte
Trautwein, Christian
Rupp, Christian
Mueller, Sebastian
Longerich, Thomas
Hengstler, Jan G.
Saez‐Rodriguez, Julio
Ghallab, Ahmed
author_facet Holland, Christian H.
Ramirez Flores, Ricardo O.
Myllys, Maiju
Hassan, Reham
Edlund, Karolina
Hofmann, Ute
Marchan, Rosemarie
Cadenas, Cristina
Reinders, Jörg
Hoehme, Stefan
Seddek, Abdel‐latif
Dooley, Steven
Keitel, Verena
Godoy, Patricio
Begher‐Tibbe, Brigitte
Trautwein, Christian
Rupp, Christian
Mueller, Sebastian
Longerich, Thomas
Hengstler, Jan G.
Saez‐Rodriguez, Julio
Ghallab, Ahmed
author_sort Holland, Christian H.
collection PubMed
description Mouse models are frequently used to study chronic liver diseases (CLDs). To assess their translational relevance, we quantified the similarity of commonly used mouse models to human CLDs based on transcriptome data. Gene‐expression data from 372 patients were compared with data from acute and chronic mouse models consisting of 227 mice, and additionally to nine published gene sets of chronic mouse models. Genes consistently altered in humans and mice were mapped to liver cell types based on single‐cell RNA‐sequencing data and validated by immunostaining. Considering the top differentially expressed genes, the similarity between humans and mice varied among the mouse models and depended on the period of damage induction. The highest recall (0.4) and precision (0.33) were observed for the model with 12‐months damage induction by CCl(4) and by a Western diet, respectively. Genes consistently up‐regulated between the chronic CCl(4) model and human CLDs were enriched in inflammatory and developmental processes, and mostly mapped to cholangiocytes, macrophages, and endothelial and mesenchymal cells. Down‐regulated genes were enriched in metabolic processes and mapped to hepatocytes. Immunostaining confirmed the regulation of selected genes and their cell type specificity. Genes that were up‐regulated in both acute and chronic models showed higher recall and precision with respect to human CLDs than exclusively acute or chronic genes. Conclusion: Similarly regulated genes in human and mouse CLDs were identified. Despite major interspecies differences, mouse models detected 40% of the genes significantly altered in human CLD. The translational relevance of individual genes can be assessed at https://saezlab.shinyapps.io/liverdiseaseatlas/.
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spelling pubmed-87107912021-12-27 Transcriptomic Cross‐Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice Holland, Christian H. Ramirez Flores, Ricardo O. Myllys, Maiju Hassan, Reham Edlund, Karolina Hofmann, Ute Marchan, Rosemarie Cadenas, Cristina Reinders, Jörg Hoehme, Stefan Seddek, Abdel‐latif Dooley, Steven Keitel, Verena Godoy, Patricio Begher‐Tibbe, Brigitte Trautwein, Christian Rupp, Christian Mueller, Sebastian Longerich, Thomas Hengstler, Jan G. Saez‐Rodriguez, Julio Ghallab, Ahmed Hepatol Commun Original Articles Mouse models are frequently used to study chronic liver diseases (CLDs). To assess their translational relevance, we quantified the similarity of commonly used mouse models to human CLDs based on transcriptome data. Gene‐expression data from 372 patients were compared with data from acute and chronic mouse models consisting of 227 mice, and additionally to nine published gene sets of chronic mouse models. Genes consistently altered in humans and mice were mapped to liver cell types based on single‐cell RNA‐sequencing data and validated by immunostaining. Considering the top differentially expressed genes, the similarity between humans and mice varied among the mouse models and depended on the period of damage induction. The highest recall (0.4) and precision (0.33) were observed for the model with 12‐months damage induction by CCl(4) and by a Western diet, respectively. Genes consistently up‐regulated between the chronic CCl(4) model and human CLDs were enriched in inflammatory and developmental processes, and mostly mapped to cholangiocytes, macrophages, and endothelial and mesenchymal cells. Down‐regulated genes were enriched in metabolic processes and mapped to hepatocytes. Immunostaining confirmed the regulation of selected genes and their cell type specificity. Genes that were up‐regulated in both acute and chronic models showed higher recall and precision with respect to human CLDs than exclusively acute or chronic genes. Conclusion: Similarly regulated genes in human and mouse CLDs were identified. Despite major interspecies differences, mouse models detected 40% of the genes significantly altered in human CLD. The translational relevance of individual genes can be assessed at https://saezlab.shinyapps.io/liverdiseaseatlas/. John Wiley and Sons Inc. 2021-08-28 /pmc/articles/PMC8710791/ /pubmed/34558834 http://dx.doi.org/10.1002/hep4.1797 Text en © 2021 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Holland, Christian H.
Ramirez Flores, Ricardo O.
Myllys, Maiju
Hassan, Reham
Edlund, Karolina
Hofmann, Ute
Marchan, Rosemarie
Cadenas, Cristina
Reinders, Jörg
Hoehme, Stefan
Seddek, Abdel‐latif
Dooley, Steven
Keitel, Verena
Godoy, Patricio
Begher‐Tibbe, Brigitte
Trautwein, Christian
Rupp, Christian
Mueller, Sebastian
Longerich, Thomas
Hengstler, Jan G.
Saez‐Rodriguez, Julio
Ghallab, Ahmed
Transcriptomic Cross‐Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice
title Transcriptomic Cross‐Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice
title_full Transcriptomic Cross‐Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice
title_fullStr Transcriptomic Cross‐Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice
title_full_unstemmed Transcriptomic Cross‐Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice
title_short Transcriptomic Cross‐Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice
title_sort transcriptomic cross‐species analysis of chronic liver disease reveals consistent regulation between humans and mice
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710791/
https://www.ncbi.nlm.nih.gov/pubmed/34558834
http://dx.doi.org/10.1002/hep4.1797
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