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3D spatially-resolved geometrical and functional models of human liver tissue reveal new aspects of NAFLD progression
Early disease diagnosis is key for the effective treatment of diseases. Histopathological analysis of human biopsies is the gold standard to diagnose tissue alterations. However, this approach has low resolution and overlooks 3D structural changes resulting from functional alterations. Here, we appl...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899159/ https://www.ncbi.nlm.nih.gov/pubmed/31792455 http://dx.doi.org/10.1038/s41591-019-0660-7 |
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author | Segovia-Miranda, Fabián Morales-Navarrete, Hernán Kücken, Michael Moser, Vincent Seifert, Sarah Repnik, Urska Rost, Fabian Brosch, Mario Hendricks, Alexander Hinz, Sebastian Röcken, Christoph Lütjohann, Dieter Kalaidzidis, Yannis Schafmayer, Clemens Brusch, Lutz Hampe, Jochen Zerial, Marino |
author_facet | Segovia-Miranda, Fabián Morales-Navarrete, Hernán Kücken, Michael Moser, Vincent Seifert, Sarah Repnik, Urska Rost, Fabian Brosch, Mario Hendricks, Alexander Hinz, Sebastian Röcken, Christoph Lütjohann, Dieter Kalaidzidis, Yannis Schafmayer, Clemens Brusch, Lutz Hampe, Jochen Zerial, Marino |
author_sort | Segovia-Miranda, Fabián |
collection | PubMed |
description | Early disease diagnosis is key for the effective treatment of diseases. Histopathological analysis of human biopsies is the gold standard to diagnose tissue alterations. However, this approach has low resolution and overlooks 3D structural changes resulting from functional alterations. Here, we applied multiphoton imaging, 3D digital reconstructions and computational simulations to generate spatially-resolved geometrical and functional models of human liver tissue at different stages of non-alcoholic fatty liver disease (NAFLD). We identified a set of morphometric cellular and tissue parameters correlated with disease progression, and discover profound topological defects in the 3D bile canalicular (BC) network. Personalized biliary fluid dynamic simulations predicted an increased pericentral biliary pressure and micro-cholestasis, consistent with elevated cholestatic biomarkers in patients’ sera. Our spatially-resolved models of human liver tissue can contribute to high-definition medicine by identifying quantitative multi-parametric cellular and tissue signatures to define disease progression and provide new insights into NAFLD pathophysiology. |
format | Online Article Text |
id | pubmed-6899159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-68991592020-06-02 3D spatially-resolved geometrical and functional models of human liver tissue reveal new aspects of NAFLD progression Segovia-Miranda, Fabián Morales-Navarrete, Hernán Kücken, Michael Moser, Vincent Seifert, Sarah Repnik, Urska Rost, Fabian Brosch, Mario Hendricks, Alexander Hinz, Sebastian Röcken, Christoph Lütjohann, Dieter Kalaidzidis, Yannis Schafmayer, Clemens Brusch, Lutz Hampe, Jochen Zerial, Marino Nat Med Article Early disease diagnosis is key for the effective treatment of diseases. Histopathological analysis of human biopsies is the gold standard to diagnose tissue alterations. However, this approach has low resolution and overlooks 3D structural changes resulting from functional alterations. Here, we applied multiphoton imaging, 3D digital reconstructions and computational simulations to generate spatially-resolved geometrical and functional models of human liver tissue at different stages of non-alcoholic fatty liver disease (NAFLD). We identified a set of morphometric cellular and tissue parameters correlated with disease progression, and discover profound topological defects in the 3D bile canalicular (BC) network. Personalized biliary fluid dynamic simulations predicted an increased pericentral biliary pressure and micro-cholestasis, consistent with elevated cholestatic biomarkers in patients’ sera. Our spatially-resolved models of human liver tissue can contribute to high-definition medicine by identifying quantitative multi-parametric cellular and tissue signatures to define disease progression and provide new insights into NAFLD pathophysiology. 2019-12-02 2019-12 /pmc/articles/PMC6899159/ /pubmed/31792455 http://dx.doi.org/10.1038/s41591-019-0660-7 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Segovia-Miranda, Fabián Morales-Navarrete, Hernán Kücken, Michael Moser, Vincent Seifert, Sarah Repnik, Urska Rost, Fabian Brosch, Mario Hendricks, Alexander Hinz, Sebastian Röcken, Christoph Lütjohann, Dieter Kalaidzidis, Yannis Schafmayer, Clemens Brusch, Lutz Hampe, Jochen Zerial, Marino 3D spatially-resolved geometrical and functional models of human liver tissue reveal new aspects of NAFLD progression |
title | 3D spatially-resolved geometrical and functional models of human
liver tissue reveal new aspects of NAFLD progression |
title_full | 3D spatially-resolved geometrical and functional models of human
liver tissue reveal new aspects of NAFLD progression |
title_fullStr | 3D spatially-resolved geometrical and functional models of human
liver tissue reveal new aspects of NAFLD progression |
title_full_unstemmed | 3D spatially-resolved geometrical and functional models of human
liver tissue reveal new aspects of NAFLD progression |
title_short | 3D spatially-resolved geometrical and functional models of human
liver tissue reveal new aspects of NAFLD progression |
title_sort | 3d spatially-resolved geometrical and functional models of human
liver tissue reveal new aspects of nafld progression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899159/ https://www.ncbi.nlm.nih.gov/pubmed/31792455 http://dx.doi.org/10.1038/s41591-019-0660-7 |
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