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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.
Afiliação
  • Holland CH; Institute of Computational Biomedicine, Faculty of Medicine, Heidelberg University, Heidelberg, Germany.
  • Ramirez Flores RO; Faculty of Biosciences, Heidelberg University, Heidelberg, Germany.
  • Myllys M; Joint Research Centre for Computational Biomedicine, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
  • Hassan R; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Edlund K; Institute of Computational Biomedicine, Faculty of Medicine, Heidelberg University, Heidelberg, Germany.
  • Hofmann U; Faculty of Biosciences, Heidelberg University, Heidelberg, Germany.
  • Marchan R; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Cadenas C; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Reinders J; Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt.
  • Hoehme S; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Seddek AL; Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
  • Dooley S; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Keitel V; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Godoy P; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Begher-Tibbe B; Institute for Computer Science & Saxonian Incubator for Clinical Research, University of Leipzig, Leipzig, Germany.
  • Trautwein C; Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt.
  • Rupp C; Department of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
  • Mueller S; Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Medical Faculty at Heinrich-Heine-University, Düsseldorf, Germany.
  • Longerich T; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Hengstler JG; Systems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
  • Saez-Rodriguez J; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Ghallab A; Internal Medicine IV, University Hospital Heidelberg, Heidelberg, Germany.
Hepatol Commun ; 6(1): 161-177, 2022 01.
Article em En | MEDLINE | ID: mdl-34558834
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 CCl4 and by a Western diet, respectively. Genes consistently up-regulated between the chronic CCl4 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/.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Modelos Animais de Doenças / Transcriptoma / Hepatopatias Limite: Animals / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Modelos Animais de Doenças / Transcriptoma / Hepatopatias Limite: Animals / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article