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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
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.
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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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