MMP-8, TRAP-5, and OPG Levels in GCF Diagnostic Potential to Discriminate between Healthy Patients’, Mild and Severe Periodontitis Sites

• Main Authors: Marcela Hernández, Mauricio Baeza, Johanna Contreras, Timo Sorsa, Taina Tervahartiala, Macarena Valdés, Alejandra Chaparro, Patricia Hernández-Ríos
• Format: Article
• Language: English
• Published: MDPI AG 2020-10-01
• Series: Biomolecules
• Subjects: periodontitis; matrix metalloproteinase-8; tartrate-resistant acid phosphatase; osteoprotegerin; gingival crevicular fluid; biomarkers
• Online Access: https://www.mdpi.com/2218-273X/10/11/1500

Biomarkers represent promising aids in periodontitis, host-mediate diseases of the tooth-supporting tissues. We assessed the diagnostic potential of matrix metalloproteinase-8 (MMP-8), tartrate-resistant acid phosphatase-5 (TRAP-5), and osteoprotegerin (OPG) to discriminate between healthy patients’, mild and severe periodontitis sites. Thirty-one otherwise healthy volunteers with and without periodontal disease were enrolled at the Faculty of Dentistry, University of Chile. Periodontal parameters were examined and gingival crevicular fluid was sampled from mild periodontitis sites (M; <i>n </i>= 42), severe periodontitis sites (S; <i>n </i>= 59), and healthy volunteer sites (H; <i>n </i>= 30). TRAP-5 and OPG were determined by commercial multiplex assay and MMP-8 by the immunofluorometric (IFMA) method. STATA software was used. All biomarkers showed a good discrimination performance. MMP-8 had the overall best performance in regression models and Receiver Operating Characteristic (ROC) curves, with high discrimination of healthy from periodontitis sites (area under the curve (AUC) = 0.901). OPG showed a very high diagnostic precision (AUC ≥ 0.95) to identify severe periodontitis sites (S versus H + M), while TRAP-5 identified both healthy and severe sites. As conclusions, MMP-8, TRAP-5, and OPG present a high precision potential in the identification of periodontal disease destruction, with MMP-8 as the most accurate diagnostic biomarker.