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A pilot study of active enzyme levels in gingival crevicular fluid of patients with chronic periodontal disease
Author(s) -
Gul Sarhang S.,
Douglas Charles W. I.,
Griffiths Gareth S.,
Rawlinson Andrew
Publication year - 2016
Publication title -
journal of clinical periodontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.456
H-Index - 151
eISSN - 1600-051X
pISSN - 0303-6979
DOI - 10.1111/jcpe.12568
Subject(s) - medicine , logistic regression , gastroenterology , chronic periodontitis , periodontitis
Aim To determine whether combinations of enzymes in gingival crevicular fluid ( GCF ) can act as improved biomarkers compared with single enzymes for predicting the outcome of treatment and also for diagnosing the clinical status of sites. Methods Thirty subjects with chronic periodontitis were recruited to a 12‐month longitudinal pilot study. GCF samples from three representative sites: healthy (≤3 mm), deep non‐bleeding ( NB ) (≥6 mm) and deep bleeding ( DB ) (≥6 mm) sites and clinical data were collected at baseline, 3 months, 6 months and 12 months following periodontal treatment. Active enzyme levels ( MMP ‐8, cathepsin G, elastase, trypsin‐like activity and sialidase) in GCF samples were assessed. The enzyme profiles and clinical data of each site were analysed for correlation and logistic regression was performed to find the predictive value of the active enzyme levels regarding the outcome of treatment. Results Twenty‐two individuals completed the study. All active enzyme levels were significantly higher in diseased sites than healthy sites. Logistic regression showed that the combination of MMP 8, elastase and sialidase provided accurate predictions of treatment outcome (88% for NB and 86% for DB ), which was significantly better than each enzyme alone (61%). Conclusion This pilot has suggested that combined active enzyme profiling could provide significant prediction of outcome of treatment.