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Article

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

1
Laboratory of Periodontal Biology, Faculty of Dentistry, University of Chile, Santiago 8380544, Chile
2
Department of Pathology and Oral Medicine, Faculty of Dentistry, University of Chile, Santiago 8380544, Chile
3
Department of Conservative Dentistry, Faculty of Dentistry, University of Chile, Santiago 8380544, Chile
4
School of Public Health, Faculty of Medicine, University of Chile, Santiago 7510040, Chile
5
Department of Oral and Maxillofacial Diseases, Helsinki University and University Hospital, 00290 Helsinki, Finland
6
Department of Oral Diseases, Karolinska Institutet, 14152 Huddinge, Sweden
7
Center for Climate and Resilience Research, CR2, University of Chile, Santiago 7510040, Chile
8
Department of Periodontology, Centro de Investigación e Innovación Biomédica (CIIB), Faculty of Dentistry, Universidad de Los Andes, Santiago 7620001, Chile
*
Author to whom correspondence should be addressed.
Biomolecules 2020, 10(11), 1500; https://doi.org/10.3390/biom10111500
Received: 30 September 2020 / Revised: 27 October 2020 / Accepted: 28 October 2020 / Published: 30 October 2020
(This article belongs to the Special Issue Metal Binding Proteins 2020)
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; n = 42), severe periodontitis sites (S; n = 59), and healthy volunteer sites (H; n = 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. View Full-Text
Keywords: periodontitis; matrix metalloproteinase-8; tartrate-resistant acid phosphatase; osteoprotegerin; gingival crevicular fluid; biomarkers periodontitis; matrix metalloproteinase-8; tartrate-resistant acid phosphatase; osteoprotegerin; gingival crevicular fluid; biomarkers
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MDPI and ACS Style

Hernández, M.; Baeza, M.; Contreras, J.; Sorsa, T.; Tervahartiala, T.; Valdés, M.; Chaparro, A.; Hernández-Ríos, P. MMP-8, TRAP-5, and OPG Levels in GCF Diagnostic Potential to Discriminate between Healthy Patients’, Mild and Severe Periodontitis Sites. Biomolecules 2020, 10, 1500. https://doi.org/10.3390/biom10111500

AMA Style

Hernández M, Baeza M, Contreras J, Sorsa T, Tervahartiala T, Valdés M, Chaparro A, Hernández-Ríos P. MMP-8, TRAP-5, and OPG Levels in GCF Diagnostic Potential to Discriminate between Healthy Patients’, Mild and Severe Periodontitis Sites. Biomolecules. 2020; 10(11):1500. https://doi.org/10.3390/biom10111500

Chicago/Turabian Style

Hernández, Marcela; Baeza, Mauricio; Contreras, Johanna; Sorsa, Timo; Tervahartiala, Taina; Valdés, Macarena; Chaparro, Alejandra; Hernández-Ríos, Patricia. 2020. "MMP-8, TRAP-5, and OPG Levels in GCF Diagnostic Potential to Discriminate between Healthy Patients’, Mild and Severe Periodontitis Sites" Biomolecules 10, no. 11: 1500. https://doi.org/10.3390/biom10111500

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