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Updated: Jun 12, 2025

A Proinflammatory, Degenerative Organ Culture Model to Simulate Early-Stage Intervertebral Disc Disease.
Published on: February 14, 2021
Synovial Matrix Remodeling and Inflammatory Profile in Disc Displacement of the Temporomandibular Joint: An
Pallavi Khattar1, Mattias Ulmner1,2, Henrike Häbel3
1Department of Dental Medicine Karolinska Institutet, Stockholm 171 77, Sweden.
Abstract:
Background: Pain-related temporomandibular joint disorders (TMJD) are a major public health problem, including the diagnoses of disc displacement (DD) with and without reduction (DDwR/DDwoR). Objectives: The study aimed to examine the matrix remodeling and the inflammatory profile in synovial tissues of patients with TMJ-DD, with a view to understand the pathophysiology, and to contribute to the development of tissue-based diagnostic criteria. Methods: This laboratory-based observational case-control study included 30 synovial tissue samples obtained from 30 patients, diagnosed with delayed (DO) or sudden (SO) onset of DDwoR, which were compared against the reference patient material, DDwR (n = 10/diagnosis group). Tissue samples were investigated histologically and via quantitative immunohistochemistry for a panel of antibodies targeted against extracellular matrix proteins and inflammatory markers. The data were analyzed using a generalized linear model with a gamma family distribution (p < 0.05). Results: Quantification of immunostaining revealed significant differences in the distribution of collagen type III (DO, p < 0.001), lumican (DO, p < 0.05), matrix metalloproteinase-2 (DO, p < 0.05), CD4 T-helper cells (DO, p < 0.01; SO, p < 0.001), and CD68 monocytic immune cells (both SO and DO, p < 0.001) in DDwoR groups compared to the reference patient material, DDwR. Conclusions: The observations confirmed differences in matrix remodeling and an increase in local inflammatory activity in the DDwoR diagnosis compared to the reference patient material, DDwR. The study highlighted the importance of synovial tissue characterization to unite micropathology and clinical findings, leading to more reliable diagnostic tools.
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