IADR Abstract Archives

Inflammatory biomarkers of intra-articular disorders of temporomandibular joint. Systemic Review

Objectives: To determine the qualitative and quantitative evidence of inflammatory biomarkers present in the synovial fluid (SF) of adult patients with intra-articular disorders (ID) of the temporomandibular joint (TMJ) and their diagnostic ability.
Methods: Electronic (Pubmed, Cochrane Library, Epistemonikos, EBSCO y Scopus) and manual search of articles (2010-2019) were performed. Data were extracted in duplicate (agreement between evaluators k=0.82). The methodological quality of the studies was determined by CONSORT, STROBE and Cochrane RoB 2. The population studied was adult patients with TMJ ID and with studies of biomarkers in SF. Descriptive statistical analysis of data was performed.
Results: Out of 264 articles, 6 met the inclusion-exclusion criteria, including 323 SF samples analyzed in 262 patients, [153 with OA (media=37.3 years old, 88% women), 93 with disc displacements (DD) (media=33.3 years, 67.7% women) and 16 with OA+DD (media=36.7 years, 93.7% women)]. The diagnostic criteria RDC/TMD were used in three studies, MRI in 4 studies and CBCT in 2. All samples were obtained by arthrocentesis and detected by ELISA. Nineteen biomarkers were evaluated in patients with OA, 9 in patients with DD and 2 inflammatory biomarkers in those diagnosed with OA+DD. Increased inflammatory biomarkers in the synovial fluid of ATM were associated with ID. The level of evidence of the articles and their degree of recommendation was 2B (Oxford) and the risk of bias varied between 81.08-62.16% (Rob2).
Conclusions: The most frequently evaluated biomarkers in SF of patients with ID of the TMJ were IL-1β, IL-6 and TNF-α and in secondly TGF-β1, MMP-3 and IFN-γ. Their increases were associated with ID. Low quality evidence was found, given the inconsistency of the biomarkers evaluated and the protocols used, and it was not possible to associate of any of them to a given intra-articular disorder, nor to perform statistical data analysis.

2020 Chilean Division Meeting (Virtual)

2020

Diagnostic Sciences
  • Foccaci, Renata  ( Universidad de Los Andes, Santiago, Chile , Santiago , RM. , Chile )
  • Valdés, Constanza  ( Universidad de Los Andes, Santiago, Chile , Santiago , RM. , Chile )
  • Moncada, Gustavo  ( Universidad de Los Andes, Santiago, Chile , Santiago , Regiòn Metropolitana , Chile )
  • NONE
    Poster Session
    Poster Session A