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Perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections

Bone marrow adipocytes (BMAds) are not just passive fillers inside the bone marrow compartment but respond to various metabolic changes. Assessment of those responses requires evaluation of the number of BMAds and their morphology for which laborious and error-prone manual histological analysis rema...

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Autores principales: Widjaja, Nicko, Jalava, Niki, Chen, Yimeng, Ivaska, Kaisa K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472850/
https://www.ncbi.nlm.nih.gov/pubmed/37649225
http://dx.doi.org/10.1080/21623945.2023.2252711
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author Widjaja, Nicko
Jalava, Niki
Chen, Yimeng
Ivaska, Kaisa K.
author_facet Widjaja, Nicko
Jalava, Niki
Chen, Yimeng
Ivaska, Kaisa K.
author_sort Widjaja, Nicko
collection PubMed
description Bone marrow adipocytes (BMAds) are not just passive fillers inside the bone marrow compartment but respond to various metabolic changes. Assessment of those responses requires evaluation of the number of BMAds and their morphology for which laborious and error-prone manual histological analysis remains the most widely used method. Here, we report an alternative image analysis strategy to semi-automatically quantitate and analyse the morphology of BMAds in histological bone sections. Decalcified, formalin-fixed paraffin-embedded histological sections of long bones of Sprague-Dawley rats were stained with either haematoxylin and eosin (HE) or by immunofluorescent staining for adipocyte-specific protein perilipin-1 (PLIN1). ImageJ-based commands were constructed to detect BMAds sized 200 µm(2) or larger from standardized 1 mm(2) analysis regions by either classifying the background colour (HE) or the positive and circular PLIN1 fluorescent signal. Semi-automated quantitation strongly correlated with independent, single-blinded manual counts regardless of the staining method (HE-based: r=0.85, p<0.001; PLIN1 based: r=0.95, p<0.001). The detection error was higher in HE-stained sections than in PLIN1-stained sections (14% versus 5%, respectively; p<0.001), which was due to false-positive detections of unstained adipocyte-like circular structures. In our dataset, the total adiposity area from standardised ROIs in PLIN-1-stained sections correlated with that in whole-bone sections (r=0.60, p=0.02).
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spelling pubmed-104728502023-09-02 Perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections Widjaja, Nicko Jalava, Niki Chen, Yimeng Ivaska, Kaisa K. Adipocyte Research Paper Bone marrow adipocytes (BMAds) are not just passive fillers inside the bone marrow compartment but respond to various metabolic changes. Assessment of those responses requires evaluation of the number of BMAds and their morphology for which laborious and error-prone manual histological analysis remains the most widely used method. Here, we report an alternative image analysis strategy to semi-automatically quantitate and analyse the morphology of BMAds in histological bone sections. Decalcified, formalin-fixed paraffin-embedded histological sections of long bones of Sprague-Dawley rats were stained with either haematoxylin and eosin (HE) or by immunofluorescent staining for adipocyte-specific protein perilipin-1 (PLIN1). ImageJ-based commands were constructed to detect BMAds sized 200 µm(2) or larger from standardized 1 mm(2) analysis regions by either classifying the background colour (HE) or the positive and circular PLIN1 fluorescent signal. Semi-automated quantitation strongly correlated with independent, single-blinded manual counts regardless of the staining method (HE-based: r=0.85, p<0.001; PLIN1 based: r=0.95, p<0.001). The detection error was higher in HE-stained sections than in PLIN1-stained sections (14% versus 5%, respectively; p<0.001), which was due to false-positive detections of unstained adipocyte-like circular structures. In our dataset, the total adiposity area from standardised ROIs in PLIN-1-stained sections correlated with that in whole-bone sections (r=0.60, p=0.02). Taylor & Francis 2023-08-30 /pmc/articles/PMC10472850/ /pubmed/37649225 http://dx.doi.org/10.1080/21623945.2023.2252711 Text en © 2023 University of Turku. Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Research Paper
Widjaja, Nicko
Jalava, Niki
Chen, Yimeng
Ivaska, Kaisa K.
Perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections
title Perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections
title_full Perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections
title_fullStr Perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections
title_full_unstemmed Perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections
title_short Perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections
title_sort perilipin-1 immunostaining improves semi-automated digital quantitation of bone marrow adipocytes in histological bone sections
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472850/
https://www.ncbi.nlm.nih.gov/pubmed/37649225
http://dx.doi.org/10.1080/21623945.2023.2252711
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