Cargando…

A quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures

As many consider organ on a chip for better in vitro models, it is timely to extract quantitative data from the literature to compare responses of cells under flow in chips to corresponding static incubations. Of 2828 screened articles, 464 articles described flow for cell culture and 146 contained...

Descripción completa

Detalles Bibliográficos
Autor principal: Dufva, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203308/
https://www.ncbi.nlm.nih.gov/pubmed/37217582
http://dx.doi.org/10.1038/s41598-023-35043-5
_version_ 1785045602757771264
author Dufva, Martin
author_facet Dufva, Martin
author_sort Dufva, Martin
collection PubMed
description As many consider organ on a chip for better in vitro models, it is timely to extract quantitative data from the literature to compare responses of cells under flow in chips to corresponding static incubations. Of 2828 screened articles, 464 articles described flow for cell culture and 146 contained correct controls and quantified data. Analysis of 1718 ratios between biomarkers measured in cells under flow and static cultures showed that the in all cell types, many biomarkers were unregulated by flow and only some specific biomarkers responded strongly to flow. Biomarkers in cells from the blood vessels walls, the intestine, tumours, pancreatic island, and the liver reacted most strongly to flow. Only 26 biomarkers were analysed in at least two different articles for a given cell type. Of these, the CYP3A4 activity in CaCo2 cells and PXR mRNA levels in hepatocytes were induced more than two-fold by flow. Furthermore, the reproducibility between articles was low as 52 of 95 articles did not show the same response to flow for a given biomarker. Flow showed overall very little improvements in 2D cultures but a slight improvement in 3D cultures suggesting that high density cell culture may benefit from flow. In conclusion, the gains of perfusion are relatively modest, larger gains are linked to specific biomarkers in certain cell types.
format Online
Article
Text
id pubmed-10203308
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-102033082023-05-24 A quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures Dufva, Martin Sci Rep Article As many consider organ on a chip for better in vitro models, it is timely to extract quantitative data from the literature to compare responses of cells under flow in chips to corresponding static incubations. Of 2828 screened articles, 464 articles described flow for cell culture and 146 contained correct controls and quantified data. Analysis of 1718 ratios between biomarkers measured in cells under flow and static cultures showed that the in all cell types, many biomarkers were unregulated by flow and only some specific biomarkers responded strongly to flow. Biomarkers in cells from the blood vessels walls, the intestine, tumours, pancreatic island, and the liver reacted most strongly to flow. Only 26 biomarkers were analysed in at least two different articles for a given cell type. Of these, the CYP3A4 activity in CaCo2 cells and PXR mRNA levels in hepatocytes were induced more than two-fold by flow. Furthermore, the reproducibility between articles was low as 52 of 95 articles did not show the same response to flow for a given biomarker. Flow showed overall very little improvements in 2D cultures but a slight improvement in 3D cultures suggesting that high density cell culture may benefit from flow. In conclusion, the gains of perfusion are relatively modest, larger gains are linked to specific biomarkers in certain cell types. Nature Publishing Group UK 2023-05-22 /pmc/articles/PMC10203308/ /pubmed/37217582 http://dx.doi.org/10.1038/s41598-023-35043-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Dufva, Martin
A quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures
title A quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures
title_full A quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures
title_fullStr A quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures
title_full_unstemmed A quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures
title_short A quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures
title_sort quantitative meta-analysis comparing cell models in perfused organ on a chip with static cell cultures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203308/
https://www.ncbi.nlm.nih.gov/pubmed/37217582
http://dx.doi.org/10.1038/s41598-023-35043-5
work_keys_str_mv AT dufvamartin aquantitativemetaanalysiscomparingcellmodelsinperfusedorganonachipwithstaticcellcultures
AT dufvamartin quantitativemetaanalysiscomparingcellmodelsinperfusedorganonachipwithstaticcellcultures