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An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns
The pathophysiology of osteoarthritis (OA) involves dysregulation of anabolic and catabolic processes associated with a broad panel of proteins that ultimately lead to cartilage degradation. An increased understanding about these protein interactions with systematic in vitro analyses may give new id...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802827/ https://www.ncbi.nlm.nih.gov/pubmed/31634377 http://dx.doi.org/10.1371/journal.pone.0224231 |
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author | Neidlin, Michael Chantzi, Efthymia Macheras, George Gustafsson, Mats G. Alexopoulos, Leonidas G. |
author_facet | Neidlin, Michael Chantzi, Efthymia Macheras, George Gustafsson, Mats G. Alexopoulos, Leonidas G. |
author_sort | Neidlin, Michael |
collection | PubMed |
description | The pathophysiology of osteoarthritis (OA) involves dysregulation of anabolic and catabolic processes associated with a broad panel of proteins that ultimately lead to cartilage degradation. An increased understanding about these protein interactions with systematic in vitro analyses may give new ideas regarding candidates for treatment of OA related cartilage degradation. Therefore, an ex vivo tissue model of cartilage degradation was established by culturing tissue explants with bacterial collagenase II. Responses of healthy and degrading cartilage were analyzed through protein abundance in tissue supernatant with a 26-multiplex protein profiling assay, after exposing the samples to a panel of 55 protein stimulations present in synovial joints of OA patients. Multivariate data analysis including exhaustive pairwise variable subset selection identified the most outstanding changes in measured protein secretions. MMP9 response to stimulation was outstandingly low in degrading cartilage and there were several protein pairs like IFNG and MMP9 that can be used for successful discrimination between degrading and healthy samples. The discovered changes in protein responses seem promising for accurate detection of degrading cartilage. The ex vivo model seems interesting for drug discovery projects related to cartilage degradation, for example when trying to uncover the unknown interactions between secreted proteins in healthy and degrading tissues. |
format | Online Article Text |
id | pubmed-6802827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68028272019-11-02 An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns Neidlin, Michael Chantzi, Efthymia Macheras, George Gustafsson, Mats G. Alexopoulos, Leonidas G. PLoS One Research Article The pathophysiology of osteoarthritis (OA) involves dysregulation of anabolic and catabolic processes associated with a broad panel of proteins that ultimately lead to cartilage degradation. An increased understanding about these protein interactions with systematic in vitro analyses may give new ideas regarding candidates for treatment of OA related cartilage degradation. Therefore, an ex vivo tissue model of cartilage degradation was established by culturing tissue explants with bacterial collagenase II. Responses of healthy and degrading cartilage were analyzed through protein abundance in tissue supernatant with a 26-multiplex protein profiling assay, after exposing the samples to a panel of 55 protein stimulations present in synovial joints of OA patients. Multivariate data analysis including exhaustive pairwise variable subset selection identified the most outstanding changes in measured protein secretions. MMP9 response to stimulation was outstandingly low in degrading cartilage and there were several protein pairs like IFNG and MMP9 that can be used for successful discrimination between degrading and healthy samples. The discovered changes in protein responses seem promising for accurate detection of degrading cartilage. The ex vivo model seems interesting for drug discovery projects related to cartilage degradation, for example when trying to uncover the unknown interactions between secreted proteins in healthy and degrading tissues. Public Library of Science 2019-10-21 /pmc/articles/PMC6802827/ /pubmed/31634377 http://dx.doi.org/10.1371/journal.pone.0224231 Text en © 2019 Neidlin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Neidlin, Michael Chantzi, Efthymia Macheras, George Gustafsson, Mats G. Alexopoulos, Leonidas G. An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns |
title | An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns |
title_full | An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns |
title_fullStr | An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns |
title_full_unstemmed | An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns |
title_short | An ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns |
title_sort | ex vivo tissue model of cartilage degradation suggests that cartilage state can be determined from secreted key protein patterns |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802827/ https://www.ncbi.nlm.nih.gov/pubmed/31634377 http://dx.doi.org/10.1371/journal.pone.0224231 |
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