Relationship between periodontal disease status and combination of biochemical assays of gingival crevicular fluid

• Published in: Journal of periodontal research 2005-08, Vol.40 (4), p.331-338
• Main Authors: Hanioka, Takashi, Matsuse, Ryoichi, Shigemoto, Yukiko, Ojima, Miki, Shizukuishi, Satoshi
• Format: Article
• Language: English
• Subjects: Adult; Biological and medical sciences; Dentistry; Facial bones, jaws, teeth, parodontium: diseases, semeiology; Female; gingival crevicular fluid; Gingival Crevicular Fluid - chemistry; Humans; Immunoglobulin A - analysis; Immunoglobulin A - metabolism; laboratory test; Leukocyte Elastase - analysis; Leukocyte Elastase - metabolism; Logistic Models; Male; Medical sciences; Otorhinolaryngology. Stomatology; periodontal disease; Periodontal Diseases - diagnosis; Periodontal Diseases - metabolism; Predictive Value of Tests; screening test
• ISSN: 0022-3484; 1600-0765
• DOI: 10.1111/j.1600-0765.2005.00807.x

Background:  Currently, no biochemical assay involving gingival crevicular fluid is utilized routinely as a screening test for periodontal disease. Objective:  The objective of the present study was to evaluate the potential of gingival crevicular fluid assay as a screening methodology. Methods:  The subject population was comprised of 27 volunteers. Nine participants were classified as ‘subject with periodontal destruction’ (SPD) exhibiting at least one site with pocket depth and attachment loss > 3.5 mm, whereas the remaining individuals were categorized as ‘subject with minimal periodontal destruction’ (SMD). Gingival crevicular fluid was collected from fixed sites via a standardized method. Biochemical assays of 12 substances (hemoglobin, albumin, transferrin, α1‐antitrypsin, fibronectin, IgA, IgG, IgM, lactoferrin, myeloperoxidase and neutrophil elastase) were conducted at a commercial laboratory. Power transformation of total quantities in gingival crevicular fluid was performed for statistical analysis. Results:  Relationships between total quantity of each substance and periodontal disease status were unclear. Logistic regression analysis yielded six predictive models, which consisted of substance pairs: neutrophil elastase/IgA, neutrophil elastase/hemoglobin, neutrophil elastase/α1‐antitrypsin and neutrophil elastase/IgG, and IgA/albumin and IgA/transferrin (p