An inflammatory equine model demonstrates dynamic changes of immune response and cartilage matrix molecule degradationin vitro
Autor: | Eva Skiöldebrand, Emilia Svala, Carina Sihlbom, Anders Lindahl, Stina Ekman, Maria Löfgren, Ulla Rüetschi |
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Rok vydání: | 2015 |
Předmět: |
Cartilage
Articular Pathology medicine.medical_specialty Interleukin-1beta Quantitative proteomics Matrix metalloproteinase Proteomics Biochemistry Extracellular matrix Rheumatology Osteoarthritis medicine Animals Orthopedics and Sports Medicine Horses Molecular Biology Aggrecan Inflammation Cartilage oligomeric matrix protein biology Interleukin-6 Chemistry Acute-phase protein Cell Biology In vitro Extracellular Matrix Cell biology biology.protein |
Zdroj: | Connective Tissue Research. 56:315-325 |
ISSN: | 1607-8438 0300-8207 |
Popis: | The molecular aspects of inflammation were investigated in equine articular cartilage explants using quantitative proteomics. Articular cartilage explants were stimulated with interleukin (IL)-1β in vitro for 25 days, and proteins released into cell culture media were chemically labeled with isobaric mass tags and analyzed by liquid chromatography-tandem mass spectrometry. A total of 127 proteins were identified and quantified in media from explants. IL-1β-stimulation resulted in an abundance of proteins related to inflammation, including matrix metalloproteinases, acute phase proteins, complement components and IL-6. Extracellular matrix (ECM) molecules were released at different time points, and fragmentation of aggrecan and cartilage oligomeric matrix protein was observed at days 3 and 6, similar to early-stage OA in vivo. Degradation products of the collagenous network were observed at days 18 and 22, similar to late-stage OA. This model displays a longitudinal quantification of released molecules from the ECM of articular cartilage. Identification of dynamic changes of extracellular matrix molecules in the secretome of equine explants stimulated with IL-1β over time may be useful for identifying components released at different time points during the spontaneous OA process. |
Databáze: | OpenAIRE |
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