Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy

The liver has a unique regenerative capability upon injury or partial resection. The regeneration process comprises a complex interplay between parenchymal and non-parenchymal cells and is tightly regulated at different scales. Thus, we investigated liver regeneration using multi-scale methods by co...

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Main Authors: Sara Zafarnia, Anna Mrugalla, Anne Rix, Dennis Doleschel, Felix Gremse, Stephanie D. Wolf, Johannes F. Buyel, Ute Albrecht, Johannes G. Bode, Fabian Kiessling, Wiltrud Lederle
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2019.00904/full
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author Sara Zafarnia
Anna Mrugalla
Anne Rix
Dennis Doleschel
Felix Gremse
Stephanie D. Wolf
Johannes F. Buyel
Johannes F. Buyel
Ute Albrecht
Johannes G. Bode
Fabian Kiessling
Wiltrud Lederle
author_facet Sara Zafarnia
Anna Mrugalla
Anne Rix
Dennis Doleschel
Felix Gremse
Stephanie D. Wolf
Johannes F. Buyel
Johannes F. Buyel
Ute Albrecht
Johannes G. Bode
Fabian Kiessling
Wiltrud Lederle
author_sort Sara Zafarnia
collection DOAJ
description The liver has a unique regenerative capability upon injury or partial resection. The regeneration process comprises a complex interplay between parenchymal and non-parenchymal cells and is tightly regulated at different scales. Thus, we investigated liver regeneration using multi-scale methods by combining non-invasive imaging with immunohistochemical analyses. In this context, non-invasive imaging can provide quantitative data of processes involved in liver regeneration at organ and body scale. We quantitatively measured liver volume recovery after 70% partial hepatectomy (PHx) by micro computed tomography (μCT) and investigated changes in the density of CD68+ macrophages by fluorescence-mediated tomography (FMT) combined with μCT using a newly developed near-infrared fluorescent probe. In addition, angiogenesis and tissue-resident macrophages were analyzed by immunohistochemistry. Based on the results, a model describing liver regeneration and the interactions between different cell types was established. In vivo analysis of liver volume regeneration over 21 days after PHx by μCT imaging demonstrated that the liver volume rapidly increased after PHx reaching a maximum at day 14 and normalizing until day 21. An increase in CD68+ macrophage density in the liver was detected from day 4 to day 8 by combined FMT-μCT imaging, followed by a decline towards control levels between day 14 and day 21. Immunohistochemistry revealed the highest angiogenic activity at day 4 after PHx that continuously declined thereafter, whereas the density of tissue-resident CD169+ macrophages was not altered. The simulated time courses for volume recovery, angiogenesis and macrophage density reflect the experimental data describing liver regeneration after PHx at organ and tissue scale. In this context, our study highlights the importance of non-invasive imaging for acquiring quantitative organ scale data that enable modeling of liver regeneration.
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spelling doaj.art-6d73b8a10b2b444ea087b8c0d5efd0282022-12-21T23:04:26ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2019-07-011010.3389/fphys.2019.00904380071Non-invasive Imaging and Modeling of Liver Regeneration After Partial HepatectomySara Zafarnia0Anna Mrugalla1Anne Rix2Dennis Doleschel3Felix Gremse4Stephanie D. Wolf5Johannes F. Buyel6Johannes F. Buyel7Ute Albrecht8Johannes G. Bode9Fabian Kiessling10Wiltrud Lederle11Institute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, GermanyInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, GermanyInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, GermanyInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, GermanyInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, GermanyFraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, GermanyInstitute for Molecular Biotechnology, RWTH Aachen University, Aachen, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, GermanyDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, GermanyInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, GermanyInstitute for Experimental Molecular Imaging, Medical Faculty, RWTH Aachen University, Aachen, GermanyThe liver has a unique regenerative capability upon injury or partial resection. The regeneration process comprises a complex interplay between parenchymal and non-parenchymal cells and is tightly regulated at different scales. Thus, we investigated liver regeneration using multi-scale methods by combining non-invasive imaging with immunohistochemical analyses. In this context, non-invasive imaging can provide quantitative data of processes involved in liver regeneration at organ and body scale. We quantitatively measured liver volume recovery after 70% partial hepatectomy (PHx) by micro computed tomography (μCT) and investigated changes in the density of CD68+ macrophages by fluorescence-mediated tomography (FMT) combined with μCT using a newly developed near-infrared fluorescent probe. In addition, angiogenesis and tissue-resident macrophages were analyzed by immunohistochemistry. Based on the results, a model describing liver regeneration and the interactions between different cell types was established. In vivo analysis of liver volume regeneration over 21 days after PHx by μCT imaging demonstrated that the liver volume rapidly increased after PHx reaching a maximum at day 14 and normalizing until day 21. An increase in CD68+ macrophage density in the liver was detected from day 4 to day 8 by combined FMT-μCT imaging, followed by a decline towards control levels between day 14 and day 21. Immunohistochemistry revealed the highest angiogenic activity at day 4 after PHx that continuously declined thereafter, whereas the density of tissue-resident CD169+ macrophages was not altered. The simulated time courses for volume recovery, angiogenesis and macrophage density reflect the experimental data describing liver regeneration after PHx at organ and tissue scale. In this context, our study highlights the importance of non-invasive imaging for acquiring quantitative organ scale data that enable modeling of liver regeneration.https://www.frontiersin.org/article/10.3389/fphys.2019.00904/fullnon-invasive imagingmodelingliver regenerationpartial hepatectomymacrophagesangiogenesis
spellingShingle Sara Zafarnia
Anna Mrugalla
Anne Rix
Dennis Doleschel
Felix Gremse
Stephanie D. Wolf
Johannes F. Buyel
Johannes F. Buyel
Ute Albrecht
Johannes G. Bode
Fabian Kiessling
Wiltrud Lederle
Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy
Frontiers in Physiology
non-invasive imaging
modeling
liver regeneration
partial hepatectomy
macrophages
angiogenesis
title Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy
title_full Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy
title_fullStr Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy
title_full_unstemmed Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy
title_short Non-invasive Imaging and Modeling of Liver Regeneration After Partial Hepatectomy
title_sort non invasive imaging and modeling of liver regeneration after partial hepatectomy
topic non-invasive imaging
modeling
liver regeneration
partial hepatectomy
macrophages
angiogenesis
url https://www.frontiersin.org/article/10.3389/fphys.2019.00904/full
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