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3D virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography
The increasing number of patients with end stage chronic kidney disease not only calls for novel therapeutics but also for pioneering research using convincing preclinical disease models and innovative analytical techniques. The aim of this study was to introduce a virtual histology approach using m...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780475/ https://www.ncbi.nlm.nih.gov/pubmed/29362427 http://dx.doi.org/10.1038/s41598-018-19773-5 |
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author | Missbach-Guentner, Jeannine Pinkert-Leetsch, Diana Dullin, Christian Ufartes, Roser Hornung, Daniel Tampe, Bjoern Zeisberg, Michael Alves, Frauke |
author_facet | Missbach-Guentner, Jeannine Pinkert-Leetsch, Diana Dullin, Christian Ufartes, Roser Hornung, Daniel Tampe, Bjoern Zeisberg, Michael Alves, Frauke |
author_sort | Missbach-Guentner, Jeannine |
collection | PubMed |
description | The increasing number of patients with end stage chronic kidney disease not only calls for novel therapeutics but also for pioneering research using convincing preclinical disease models and innovative analytical techniques. The aim of this study was to introduce a virtual histology approach using micro computed tomography (µCT) for the entire murine kidney in order to close the gap between single slice planar histology and a 3D high resolution dataset. An ex vivo staining protocol based on phosphotungstic acid diffusion was adapted to enhance renal soft tissue x-ray attenuation. Subsequent CT scans allowed (i) the detection of the renal cortex, medulla and pelvis in greater detail, (ii) the analysis of morphological alterations, (iii) the quantification of the volume as well as the radio-opacity of these portions and (iv) the quantification of renal fibrotic remodeling based on altered radio-opacity using the unilateral ureteral obstruction model. Thus, virtual histology based on PTA contrast enhanced CT will in future help to refine the outcome of preclinical research on kidney associated murine disease models. |
format | Online Article Text |
id | pubmed-5780475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57804752018-02-06 3D virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography Missbach-Guentner, Jeannine Pinkert-Leetsch, Diana Dullin, Christian Ufartes, Roser Hornung, Daniel Tampe, Bjoern Zeisberg, Michael Alves, Frauke Sci Rep Article The increasing number of patients with end stage chronic kidney disease not only calls for novel therapeutics but also for pioneering research using convincing preclinical disease models and innovative analytical techniques. The aim of this study was to introduce a virtual histology approach using micro computed tomography (µCT) for the entire murine kidney in order to close the gap between single slice planar histology and a 3D high resolution dataset. An ex vivo staining protocol based on phosphotungstic acid diffusion was adapted to enhance renal soft tissue x-ray attenuation. Subsequent CT scans allowed (i) the detection of the renal cortex, medulla and pelvis in greater detail, (ii) the analysis of morphological alterations, (iii) the quantification of the volume as well as the radio-opacity of these portions and (iv) the quantification of renal fibrotic remodeling based on altered radio-opacity using the unilateral ureteral obstruction model. Thus, virtual histology based on PTA contrast enhanced CT will in future help to refine the outcome of preclinical research on kidney associated murine disease models. Nature Publishing Group UK 2018-01-23 /pmc/articles/PMC5780475/ /pubmed/29362427 http://dx.doi.org/10.1038/s41598-018-19773-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Missbach-Guentner, Jeannine Pinkert-Leetsch, Diana Dullin, Christian Ufartes, Roser Hornung, Daniel Tampe, Bjoern Zeisberg, Michael Alves, Frauke 3D virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography |
title | 3D virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography |
title_full | 3D virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography |
title_fullStr | 3D virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography |
title_full_unstemmed | 3D virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography |
title_short | 3D virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography |
title_sort | 3d virtual histology of murine kidneys –high resolution visualization of pathological alterations by micro computed tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780475/ https://www.ncbi.nlm.nih.gov/pubmed/29362427 http://dx.doi.org/10.1038/s41598-018-19773-5 |
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