Journal
DIAGNOSTICS
Volume 11, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/diagnostics11081503
Keywords
periodontitis; periodontal disease; matrix metalloproteinase-8; gingival crevicular fluid; biomarkers; diagnosis
Categories
Funding
- National Fund for Scientific and Technological Development (FONDECYT), ANID, Chilean government [1200098]
- Helsinki and Uusimaa Hospital District (HUS), Finland [TYH2016251, TYH2017251, TYH2018229, TYH2019319, Y1014SL017, Y1014SL018, Y1014SULE1]
- Finnish Dental Association Apollonia, Finland
- Karolinska Institutet, Sweden
- Yrjo Jahnsson Foundation sr
- Paulo Foundation
- Emil Aaltonen Foundation sr
- Juhani Aho Foundation for Medical Research sr
- Orion Research Foundation sr
- Finnish Dental Society Apollonia and Helsingin Seudun Hammaslaakarit r.y. (Dentists of Helsinki Region Association), Finland
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Periodontitis is a bacterial disease affecting the tooth attachment apparatus, and Metalloproteinase-8 (MMP-8) is a validated biomarker that can aid in clinical diagnosis. This study evaluated the performance of active MMP-8 immunotest versus total MMP-8 ELISA in diagnosing and assessing the severity of periodontitis at the site level, with results showing both methods have good diagnostic precision and can effectively differentiate between healthy and diseased sites.
Periodontitis is a host-mediated bacterial disease that affects the tooth attachment apparatus. Metalloproteinase-8 (MMP-8), a validated biomarker, could aid in clinical diagnosis. This study aimed to evaluate the diagnostic performance of active (a) MMP-8 immunotest versus total (t) MMP-8 ELISA for quantitative real-time diagnosis and assessment of periodontitis severity at the site level. Gingival crevicular fluid (GCF) was sampled from 30 healthy, 42 mild, and 59 severe periodontitis sites from thirty-one volunteers. MMP-8 concentrations were determined by time-resolved immunofluorometric assay (IFMA) and enzyme-linked immunosorbent assay (ELISA). Statistical analysis was performed using the STATA package. Both active and total MMP-8-based methods discriminated among sites according to periodontal diagnosis and severity, with a positive correlation between the two tests (p < 0.001). (a) MMP-8 models showed the best performance in receiver operating characteristic (ROC) curves to discriminate between healthy and periodontitis sites (area under the curve [AUC] = 0.89), while (t) MMP-8 demonstrated a high diagnostic precision in the detection of mild from severe periodontitis sites (AUC >= 0.80). The use of (a) MMP-8 and (t) MMP-8 could represent a useful adjunctive tool for periodontitis diagnosis and severity. These results support the applicability of new point-of-care methods in the monitoring of high-risk periodontal patients.
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