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Quantification of sterol-specific response in human macrophages using automated imaged-based analysis

BACKGROUND: The transformation of normal macrophage cells into lipid-laden foam cells is an important step in the progression of atherosclerosis. One major contributor to foam cell formation in vivo is the intracellular accumulation of cholesterol. METHODS: Here, we report the effects of various com...

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Autores principales: Gater, Deborah L., Widatalla, Namareq, Islam, Kinza, AlRaeesi, Maryam, Teo, Jeremy C. M., Pearson, Yanthe E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729278/
https://www.ncbi.nlm.nih.gov/pubmed/29237459
http://dx.doi.org/10.1186/s12944-017-0629-9
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author Gater, Deborah L.
Widatalla, Namareq
Islam, Kinza
AlRaeesi, Maryam
Teo, Jeremy C. M.
Pearson, Yanthe E.
author_facet Gater, Deborah L.
Widatalla, Namareq
Islam, Kinza
AlRaeesi, Maryam
Teo, Jeremy C. M.
Pearson, Yanthe E.
author_sort Gater, Deborah L.
collection PubMed
description BACKGROUND: The transformation of normal macrophage cells into lipid-laden foam cells is an important step in the progression of atherosclerosis. One major contributor to foam cell formation in vivo is the intracellular accumulation of cholesterol. METHODS: Here, we report the effects of various combinations of low-density lipoprotein, sterols, lipids and other factors on human macrophages, using an automated image analysis program to quantitatively compare single cell properties, such as cell size and lipid content, in different conditions. RESULTS: We observed that the addition of cholesterol caused an increase in average cell lipid content across a range of conditions. All of the sterol-lipid mixtures examined were capable of inducing increases in average cell lipid content, with variations in the distribution of the response, in cytotoxicity and in how the sterol-lipid combination interacted with other activating factors. For example, cholesterol and lipopolysaccharide acted synergistically to increase cell lipid content while also increasing cell survival compared with the addition of lipopolysaccharide alone. Additionally, ergosterol and cholesteryl hemisuccinate caused similar increases in lipid content but also exhibited considerably greater cytotoxicity than cholesterol. CONCLUSIONS: The use of automated image analysis enables us to assess not only changes in average cell size and content, but also to rapidly and automatically compare population distributions based on simple fluorescence images. Our observations add to increasing understanding of the complex and multifactorial nature of foam-cell formation and provide a novel approach to assessing the heterogeneity of macrophage response to a variety of factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12944-017-0629-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-57292782017-12-18 Quantification of sterol-specific response in human macrophages using automated imaged-based analysis Gater, Deborah L. Widatalla, Namareq Islam, Kinza AlRaeesi, Maryam Teo, Jeremy C. M. Pearson, Yanthe E. Lipids Health Dis Research BACKGROUND: The transformation of normal macrophage cells into lipid-laden foam cells is an important step in the progression of atherosclerosis. One major contributor to foam cell formation in vivo is the intracellular accumulation of cholesterol. METHODS: Here, we report the effects of various combinations of low-density lipoprotein, sterols, lipids and other factors on human macrophages, using an automated image analysis program to quantitatively compare single cell properties, such as cell size and lipid content, in different conditions. RESULTS: We observed that the addition of cholesterol caused an increase in average cell lipid content across a range of conditions. All of the sterol-lipid mixtures examined were capable of inducing increases in average cell lipid content, with variations in the distribution of the response, in cytotoxicity and in how the sterol-lipid combination interacted with other activating factors. For example, cholesterol and lipopolysaccharide acted synergistically to increase cell lipid content while also increasing cell survival compared with the addition of lipopolysaccharide alone. Additionally, ergosterol and cholesteryl hemisuccinate caused similar increases in lipid content but also exhibited considerably greater cytotoxicity than cholesterol. CONCLUSIONS: The use of automated image analysis enables us to assess not only changes in average cell size and content, but also to rapidly and automatically compare population distributions based on simple fluorescence images. Our observations add to increasing understanding of the complex and multifactorial nature of foam-cell formation and provide a novel approach to assessing the heterogeneity of macrophage response to a variety of factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12944-017-0629-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-13 /pmc/articles/PMC5729278/ /pubmed/29237459 http://dx.doi.org/10.1186/s12944-017-0629-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Gater, Deborah L.
Widatalla, Namareq
Islam, Kinza
AlRaeesi, Maryam
Teo, Jeremy C. M.
Pearson, Yanthe E.
Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
title Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
title_full Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
title_fullStr Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
title_full_unstemmed Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
title_short Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
title_sort quantification of sterol-specific response in human macrophages using automated imaged-based analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5729278/
https://www.ncbi.nlm.nih.gov/pubmed/29237459
http://dx.doi.org/10.1186/s12944-017-0629-9
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