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Ptychographic X-ray CT characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model
Ptychographic X-ray computed tomography (PXCT) is a quantitative imaging modality that non-destructively maps the 3D electron density inside an object with tens of nanometers spatial resolution. This method provides unique access to the morphology and structure of the osteocyte lacuno-canalicular ne...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146379/ https://www.ncbi.nlm.nih.gov/pubmed/30246062 http://dx.doi.org/10.1016/j.bonr.2018.07.005 |
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author | Ciani, Antonia Toumi, Hechmi Pallu, Stéphane Tsai, Esther H.R. Diaz, Ana Guizar-Sicairos, Manuel Holler, Mirko Lespessailles, Eric Kewish, Cameron M. |
author_facet | Ciani, Antonia Toumi, Hechmi Pallu, Stéphane Tsai, Esther H.R. Diaz, Ana Guizar-Sicairos, Manuel Holler, Mirko Lespessailles, Eric Kewish, Cameron M. |
author_sort | Ciani, Antonia |
collection | PubMed |
description | Ptychographic X-ray computed tomography (PXCT) is a quantitative imaging modality that non-destructively maps the 3D electron density inside an object with tens of nanometers spatial resolution. This method provides unique access to the morphology and structure of the osteocyte lacuno-canalicular network (LCN) and nanoscale density of the tissue in the vicinity of an osteocyte lacuna. Herein, we applied PXCT to characterize the lacunae and LCN in a male Wistar rat model of glucocorticoid-induced osteoporosis (GIO). The ptychographic images revealed significant (p < 0.05) differences in the number of canaliculi originating from the lacuna per ellipsoidal surface unit, Ca.Nb (p = 0.0106), and the 3D morphology of the lacuna (p = 0.0064), between GIO and SHAM groups. Moreover, the mean canalicular diameter, Ca.Dm, was slightly statistically un-significantly smaller in GIO (152 ± 6.5) nm than in SHAM group (165 ± 8) nm (p = 0.053). Our findings indicate that PXCT can non-destructively provide detailed, nanoscale information on the 3D organization of the LCN in correlative studies of pathologies, such as osteoporosis, leading to improved diagnosis and therapy. |
format | Online Article Text |
id | pubmed-6146379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61463792018-09-21 Ptychographic X-ray CT characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model Ciani, Antonia Toumi, Hechmi Pallu, Stéphane Tsai, Esther H.R. Diaz, Ana Guizar-Sicairos, Manuel Holler, Mirko Lespessailles, Eric Kewish, Cameron M. Bone Rep Article Ptychographic X-ray computed tomography (PXCT) is a quantitative imaging modality that non-destructively maps the 3D electron density inside an object with tens of nanometers spatial resolution. This method provides unique access to the morphology and structure of the osteocyte lacuno-canalicular network (LCN) and nanoscale density of the tissue in the vicinity of an osteocyte lacuna. Herein, we applied PXCT to characterize the lacunae and LCN in a male Wistar rat model of glucocorticoid-induced osteoporosis (GIO). The ptychographic images revealed significant (p < 0.05) differences in the number of canaliculi originating from the lacuna per ellipsoidal surface unit, Ca.Nb (p = 0.0106), and the 3D morphology of the lacuna (p = 0.0064), between GIO and SHAM groups. Moreover, the mean canalicular diameter, Ca.Dm, was slightly statistically un-significantly smaller in GIO (152 ± 6.5) nm than in SHAM group (165 ± 8) nm (p = 0.053). Our findings indicate that PXCT can non-destructively provide detailed, nanoscale information on the 3D organization of the LCN in correlative studies of pathologies, such as osteoporosis, leading to improved diagnosis and therapy. Elsevier 2018-07-29 /pmc/articles/PMC6146379/ /pubmed/30246062 http://dx.doi.org/10.1016/j.bonr.2018.07.005 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Ciani, Antonia Toumi, Hechmi Pallu, Stéphane Tsai, Esther H.R. Diaz, Ana Guizar-Sicairos, Manuel Holler, Mirko Lespessailles, Eric Kewish, Cameron M. Ptychographic X-ray CT characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model |
title | Ptychographic X-ray CT characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model |
title_full | Ptychographic X-ray CT characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model |
title_fullStr | Ptychographic X-ray CT characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model |
title_full_unstemmed | Ptychographic X-ray CT characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model |
title_short | Ptychographic X-ray CT characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model |
title_sort | ptychographic x-ray ct characterization of the osteocyte lacuno-canalicular network in a male rat's glucocorticoid induced osteoporosis model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146379/ https://www.ncbi.nlm.nih.gov/pubmed/30246062 http://dx.doi.org/10.1016/j.bonr.2018.07.005 |
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