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A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial
Despite growing effort to advance materials towards a low fibrotic progression, all implants elicit adverse tissue responses. Pre-clinical biomaterial assessment relies on animals testing, which can be complemented by in vitro tests to address the Russell and Burch’s 3R aspect of reducing animal bur...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431855/ https://www.ncbi.nlm.nih.gov/pubmed/28490729 http://dx.doi.org/10.1038/s41598-017-01584-9 |
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author | Jannasch, Maren Gaetzner, Sabine Weigel, Tobias Walles, Heike Schmitz, Tobias Hansmann, Jan |
author_facet | Jannasch, Maren Gaetzner, Sabine Weigel, Tobias Walles, Heike Schmitz, Tobias Hansmann, Jan |
author_sort | Jannasch, Maren |
collection | PubMed |
description | Despite growing effort to advance materials towards a low fibrotic progression, all implants elicit adverse tissue responses. Pre-clinical biomaterial assessment relies on animals testing, which can be complemented by in vitro tests to address the Russell and Burch’s 3R aspect of reducing animal burden. However, a poor correlation between in vitro and in vivo biomaterial assessments confirms a need for suitable in vitro biomaterial tests. The aim of the study was to identify a test setting, which is predictive and might be time- and cost-efficient. We demonstrated how sensitive in vitro biomaterial assessment based on human primary macrophages depends on test conditions. Moreover, possible clinical scenarios such as lipopolysaccharide contamination, contact to autologous blood plasma, and presence of IL-4 in an immune niche influence the outcome of a biomaterial ranking. Nevertheless, by using glass, titanium, polytetrafluorethylene, silicone, and polyethylene representing a specific material-induced fibrotic response and by comparison to literature data, we were able to identify a test condition that provides a high correlation to state-of-the-art in vivo studies. Most important, biomaterial ranking obtained under native plasma test conditions showed a high predictive accuracy compared to in vivo assessments, strengthening a biomimetic three-dimensional in vitro test platform. |
format | Online Article Text |
id | pubmed-5431855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54318552017-05-16 A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial Jannasch, Maren Gaetzner, Sabine Weigel, Tobias Walles, Heike Schmitz, Tobias Hansmann, Jan Sci Rep Article Despite growing effort to advance materials towards a low fibrotic progression, all implants elicit adverse tissue responses. Pre-clinical biomaterial assessment relies on animals testing, which can be complemented by in vitro tests to address the Russell and Burch’s 3R aspect of reducing animal burden. However, a poor correlation between in vitro and in vivo biomaterial assessments confirms a need for suitable in vitro biomaterial tests. The aim of the study was to identify a test setting, which is predictive and might be time- and cost-efficient. We demonstrated how sensitive in vitro biomaterial assessment based on human primary macrophages depends on test conditions. Moreover, possible clinical scenarios such as lipopolysaccharide contamination, contact to autologous blood plasma, and presence of IL-4 in an immune niche influence the outcome of a biomaterial ranking. Nevertheless, by using glass, titanium, polytetrafluorethylene, silicone, and polyethylene representing a specific material-induced fibrotic response and by comparison to literature data, we were able to identify a test condition that provides a high correlation to state-of-the-art in vivo studies. Most important, biomaterial ranking obtained under native plasma test conditions showed a high predictive accuracy compared to in vivo assessments, strengthening a biomimetic three-dimensional in vitro test platform. Nature Publishing Group UK 2017-05-10 /pmc/articles/PMC5431855/ /pubmed/28490729 http://dx.doi.org/10.1038/s41598-017-01584-9 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jannasch, Maren Gaetzner, Sabine Weigel, Tobias Walles, Heike Schmitz, Tobias Hansmann, Jan A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
title | A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
title_full | A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
title_fullStr | A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
title_full_unstemmed | A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
title_short | A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
title_sort | comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431855/ https://www.ncbi.nlm.nih.gov/pubmed/28490729 http://dx.doi.org/10.1038/s41598-017-01584-9 |
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