Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography

Abstract The number of the Asbestos Bodies (AB), i.e. asbestos that developed an iron-protein coating during its permanence in biological tissues, is one of the most accessible markers of asbestos exposure in individuals. The approaches developed to perform AB count in biological tissues are based o...

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Autores principales:	Fabrizio Bardelli, Francesco Brun, Silvana Capella, Donata Bellis, Claudia Cippitelli, Alessia Cedola, Elena Belluso
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9dc2ae8da7a94408bd604b21233dc96c
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spelling	oai:doaj.org-article:9dc2ae8da7a94408bd604b21233dc96c2021-12-02T15:52:47ZAsbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography10.1038/s41598-021-90057-12045-2322https://doaj.org/article/9dc2ae8da7a94408bd604b21233dc96c2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90057-1https://doaj.org/toc/2045-2322Abstract The number of the Asbestos Bodies (AB), i.e. asbestos that developed an iron-protein coating during its permanence in biological tissues, is one of the most accessible markers of asbestos exposure in individuals. The approaches developed to perform AB count in biological tissues are based on the manual examination of tissue digests or histological sections by means of light or electron microscopies. Although these approaches are well established and relatively accessible, manual examination is time-consuming and can be reader-dependent. Besides, approximations are applied because of the limitations of 2D readings and to speed up manual counts. In addition, sample preparation using tissue digests require an amount of tissue that can only be obtained by invasive surgery or post-mortem sampling. In this paper, we propose a new approach to AB counting based on non-destructive 3D imaging, which has the potential to overcome most of the limitations of conventional approaches. This method allows automating the AB count and determining their morphometry distribution in bulk tissue samples (ideally non-invasive needle biopsies), with minimal sample preparation and avoiding approximations. Although the results are promising, additional testing on a larger number of AB-containing biological samples would be required to fully validate the method.Fabrizio BardelliFrancesco BrunSilvana CapellaDonata BellisClaudia CippitelliAlessia CedolaElena BellusoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fabrizio Bardelli Francesco Brun Silvana Capella Donata Bellis Claudia Cippitelli Alessia Cedola Elena Belluso Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography
description	Abstract The number of the Asbestos Bodies (AB), i.e. asbestos that developed an iron-protein coating during its permanence in biological tissues, is one of the most accessible markers of asbestos exposure in individuals. The approaches developed to perform AB count in biological tissues are based on the manual examination of tissue digests or histological sections by means of light or electron microscopies. Although these approaches are well established and relatively accessible, manual examination is time-consuming and can be reader-dependent. Besides, approximations are applied because of the limitations of 2D readings and to speed up manual counts. In addition, sample preparation using tissue digests require an amount of tissue that can only be obtained by invasive surgery or post-mortem sampling. In this paper, we propose a new approach to AB counting based on non-destructive 3D imaging, which has the potential to overcome most of the limitations of conventional approaches. This method allows automating the AB count and determining their morphometry distribution in bulk tissue samples (ideally non-invasive needle biopsies), with minimal sample preparation and avoiding approximations. Although the results are promising, additional testing on a larger number of AB-containing biological samples would be required to fully validate the method.
format	article
author	Fabrizio Bardelli Francesco Brun Silvana Capella Donata Bellis Claudia Cippitelli Alessia Cedola Elena Belluso
author_facet	Fabrizio Bardelli Francesco Brun Silvana Capella Donata Bellis Claudia Cippitelli Alessia Cedola Elena Belluso
author_sort	Fabrizio Bardelli
title	Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography
title_short	Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography
title_full	Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography
title_fullStr	Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography
title_full_unstemmed	Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography
title_sort	asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive x-ray micro-tomography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9dc2ae8da7a94408bd604b21233dc96c
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Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography

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