A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial
Abstract 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 a...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b1d66dde8054436fb98773093d489942 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:b1d66dde8054436fb98773093d489942 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:b1d66dde8054436fb98773093d4899422021-12-02T12:32:29ZA comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial10.1038/s41598-017-01584-92045-2322https://doaj.org/article/b1d66dde8054436fb98773093d4899422017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01584-9https://doaj.org/toc/2045-2322Abstract 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.Maren JannaschSabine GaetznerTobias WeigelHeike WallesTobias SchmitzJan HansmannNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-17 (2017) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Maren Jannasch Sabine Gaetzner Tobias Weigel Heike Walles Tobias Schmitz Jan Hansmann A comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
description |
Abstract 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 |
article |
author |
Maren Jannasch Sabine Gaetzner Tobias Weigel Heike Walles Tobias Schmitz Jan Hansmann |
author_facet |
Maren Jannasch Sabine Gaetzner Tobias Weigel Heike Walles Tobias Schmitz Jan Hansmann |
author_sort |
Maren Jannasch |
title |
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_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_sort |
comparative multi-parametric in vitro model identifies the power of test conditions to predict the fibrotic tendency of a biomaterial |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/b1d66dde8054436fb98773093d489942 |
work_keys_str_mv |
AT marenjannasch acomparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT sabinegaetzner acomparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT tobiasweigel acomparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT heikewalles acomparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT tobiasschmitz acomparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT janhansmann acomparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT marenjannasch comparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT sabinegaetzner comparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT tobiasweigel comparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT heikewalles comparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT tobiasschmitz comparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial AT janhansmann comparativemultiparametricinvitromodelidentifiesthepoweroftestconditionstopredictthefibrotictendencyofabiomaterial |
_version_ |
1718394056084553728 |