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Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models

Annually, an estimated seven million deaths are linked to exposure to airborne pollutants. Despite extensive epidemiological evidence supporting clear associations between poor air quality and a range of short- and long-term health effects, there are considerable gaps in our understanding of the spe...

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Autores principales: Al-Rekabi, Zeinab, Dondi, Camilla, Faruqui, Nilofar, Siddiqui, Nazia S., Elowsson, Linda, Rissler, Jenny, Kåredal, Monica, Mudway, Ian, Larsson-Callerfelt, Anna-Karin, Shaw, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090883/
https://www.ncbi.nlm.nih.gov/pubmed/37063998
http://dx.doi.org/10.1098/rsos.221426
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author Al-Rekabi, Zeinab
Dondi, Camilla
Faruqui, Nilofar
Siddiqui, Nazia S.
Elowsson, Linda
Rissler, Jenny
Kåredal, Monica
Mudway, Ian
Larsson-Callerfelt, Anna-Karin
Shaw, Michael
author_facet Al-Rekabi, Zeinab
Dondi, Camilla
Faruqui, Nilofar
Siddiqui, Nazia S.
Elowsson, Linda
Rissler, Jenny
Kåredal, Monica
Mudway, Ian
Larsson-Callerfelt, Anna-Karin
Shaw, Michael
author_sort Al-Rekabi, Zeinab
collection PubMed
description Annually, an estimated seven million deaths are linked to exposure to airborne pollutants. Despite extensive epidemiological evidence supporting clear associations between poor air quality and a range of short- and long-term health effects, there are considerable gaps in our understanding of the specific mechanisms by which pollutant exposure induces adverse biological responses at the cellular and tissue levels. The development of more complex, predictive, in vitro respiratory models, including two- and three-dimensional cell cultures, spheroids, organoids and tissue cultures, along with more realistic aerosol exposure systems, offers new opportunities to investigate the cytotoxic effects of airborne particulates under controlled laboratory conditions. Parallel advances in high-resolution microscopy have resulted in a range of in vitro imaging tools capable of visualizing and analysing biological systems across unprecedented scales of length, time and complexity. This article considers state-of-the-art in vitro respiratory models and aerosol exposure systems and how they can be interrogated using high-resolution microscopy techniques to investigate cell–pollutant interactions, from the uptake and trafficking of particles to structural and functional modification of subcellular organelles and cells. These data can provide a mechanistic basis from which to advance our understanding of the health effects of airborne particulate pollution and develop improved mitigation measures.
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spelling pubmed-100908832023-04-13 Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models Al-Rekabi, Zeinab Dondi, Camilla Faruqui, Nilofar Siddiqui, Nazia S. Elowsson, Linda Rissler, Jenny Kåredal, Monica Mudway, Ian Larsson-Callerfelt, Anna-Karin Shaw, Michael R Soc Open Sci Physics and Biophysics Annually, an estimated seven million deaths are linked to exposure to airborne pollutants. Despite extensive epidemiological evidence supporting clear associations between poor air quality and a range of short- and long-term health effects, there are considerable gaps in our understanding of the specific mechanisms by which pollutant exposure induces adverse biological responses at the cellular and tissue levels. The development of more complex, predictive, in vitro respiratory models, including two- and three-dimensional cell cultures, spheroids, organoids and tissue cultures, along with more realistic aerosol exposure systems, offers new opportunities to investigate the cytotoxic effects of airborne particulates under controlled laboratory conditions. Parallel advances in high-resolution microscopy have resulted in a range of in vitro imaging tools capable of visualizing and analysing biological systems across unprecedented scales of length, time and complexity. This article considers state-of-the-art in vitro respiratory models and aerosol exposure systems and how they can be interrogated using high-resolution microscopy techniques to investigate cell–pollutant interactions, from the uptake and trafficking of particles to structural and functional modification of subcellular organelles and cells. These data can provide a mechanistic basis from which to advance our understanding of the health effects of airborne particulate pollution and develop improved mitigation measures. The Royal Society 2023-04-12 /pmc/articles/PMC10090883/ /pubmed/37063998 http://dx.doi.org/10.1098/rsos.221426 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society 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, provided the original author and source are credited.
spellingShingle Physics and Biophysics
Al-Rekabi, Zeinab
Dondi, Camilla
Faruqui, Nilofar
Siddiqui, Nazia S.
Elowsson, Linda
Rissler, Jenny
Kåredal, Monica
Mudway, Ian
Larsson-Callerfelt, Anna-Karin
Shaw, Michael
Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models
title Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models
title_full Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models
title_fullStr Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models
title_full_unstemmed Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models
title_short Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models
title_sort uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models
topic Physics and Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090883/
https://www.ncbi.nlm.nih.gov/pubmed/37063998
http://dx.doi.org/10.1098/rsos.221426
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