Ability of Matrix Metalloproteinase-8 Biosensor, IFMA, and ELISA Immunoassays to Differentiate Between Periodontal Health, Gingivitis, and Periodontitis

Overview

Journal J Periodontal Res

Specialty Dentistry

Date 2022 Mar 19

PMID 35304757

Authors

Kehinde Adesola Umeizudike

Hanna Lahteenmaki

Ismo T Raisanen

John J Taylor

Philip M Preshaw

Susan M Bissett

Taina Tervahartiala

Solomon O Nwhator

Pirjo Parnanen

Timo Sorsa

Affiliations

Soon will be listed here.

Abstract

Objective: The aim of this study was to determine the diagnostic utility of an MMP-8 biosensor assay in differentiating periodontal health from gingivitis and periodontitis and compare it with an established time-resolved immunofluorescence assay (IFMA) and enzyme-linked immunosorbent assay (ELISA).

Background: Currently available antibody-based assays display a wide variability in their ability to accurately measure matrix metalloproteinase-8 (MMP-8) levels in saliva.

Methods: Salivary MMP-8 levels were analyzed in 189 systemically healthy participants using an antibody-based biosensor prototype that operates using a surface acoustic wave technology and compared with IFMA and ELISA antibody assays. Participants were categorized into 3 groups: periodontal health (59), gingivitis (63), and periodontitis (67). A sub-population of participants (n = 20) with periodontitis received periodontal treatment and were monitored for 6 months.

Results: All the assays demonstrated significantly higher salivary MMP-8 concentrations in participants with periodontitis versus gingivitis, periodontitis versus health, and gingivitis versus health (all p < .05). The biosensor data demonstrated significant correlations with IFMA (r = .354, p < .001) and ELISA (r = .681, p < .001). Significant reductions in salivary MMP-8 concentrations were detected by the biosensor (p = .030) and IFMA (p = .002) in participants with periodontitis 6 months after non-surgical periodontal treatment. IFMA had the best sensitivity (89.2%) for detecting periodontitis and gingivitis versus health and 96.6% for detecting periodontitis versus health and gingivitis. The biosensor had an AUC value of 0.81 and diagnostic accuracy of 74.2% for differentiating periodontitis and gingivitis from health; an AUC value of 0.86 and diagnostic accuracy of 82.8% for periodontitis versus health and gingivitis.

Conclusions: The biosensor, IFMA, and ELISA assays differentiated between periodontal health, gingivitis, and periodontitis based on salivary MMP-8 levels. Only the biosensor and, particularly, IFMA identified an effect of periodontal treatment in the participants with periodontitis. Our findings support the potential utility of salivary oral fluid aMMP-8-based point-of-care technology in the future of periodontal diagnostics.

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