{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T15:46:17Z","timestamp":1770997577478,"version":"3.50.1"},"reference-count":38,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2012,10,11]],"date-time":"2012-10-11T00:00:00Z","timestamp":1349913600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J of Periodontal Research"],"published-print":{"date-parts":[[2013,6]]},"abstract":"<jats:sec><jats:title>Background and Objective<\/jats:title><jats:p>Gingival crevicular fluid has been suggested as a possible source of biomarkers for periodontal disease progression. This paper describes a technique for the analysis of gingival crevicular fluid from individual sites using mass spectrometry. It explores the novel use of mass spectrometry to examine the relationship between the relative amounts of proteins and peptides in gingival crevicular fluid and their relationship with clinical indices and periodontal attachment loss in periodontal maintenance patients. The aim of this paper was to assess whether the mass spectrometric analysis of gingival crevicular fluid may allow for the site\u2010specific prediction of periodontal disease progression.<\/jats:p><\/jats:sec><jats:sec><jats:title>Material and Methods<\/jats:title><jats:p>Forty\u2010one periodontal maintenance subjects were followed over 12\u00a0mo, with clinical measurements taken at baseline and every 3\u00a0mo thereafter. Gingival crevicular fluid was collected from subjects at each visit and was analysed using matrix\u2010assisted laser desorption\/ionization time\u2010of\u2010flight (<jats:styled-content style=\"fixed-case\">MALDI<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">TOF<\/jats:styled-content>) mass spectrometry. Samples were classified based upon pocket depth, modified gingival index (<jats:styled-content style=\"fixed-case\">MGI<\/jats:styled-content>), plaque index and attachment loss, and were analysed within these groups. A genetic algorithm was used to create a model based on pattern analysis to predict sites undergoing attachment loss.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Three hundred and eighty\u2010five gingival crevicular fluid samples were analysed. Twenty\u2010five sites under observation in 14 patients exhibited attachment loss of &gt;\u00a02\u00a0mm over the 12\u2010mo period. The clinical indices pocket depth, <jats:styled-content style=\"fixed-case\">MGI<\/jats:styled-content>, plaque levels and bleeding on probing served as poor discriminators of gingival crevicular fluid mass spectra. Models generated from the gingival crevicular fluid mass spectra could predict attachment loss at a site with a high specificity (97% recognition capability and 67% cross\u2010validation).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Gingival crevicular fluid mass spectra could be used to predict sites with attachment loss. The use of algorithm\u2010generated models based on gingival crevicular fluid mass spectra may provide utility in the diagnosis of periodontal disease.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jre.12012","type":"journal-article","created":{"date-parts":[[2012,10,11]],"date-time":"2012-10-11T13:51:54Z","timestamp":1349963514000},"page":"331-341","source":"Crossref","is-referenced-by-count":30,"title":["Mass spectrometric analysis of gingival crevicular fluid biomarkers can predict periodontal disease progression"],"prefix":"10.1111","volume":"48","author":[{"given":"L. H.","family":"Ngo","sequence":"first","affiliation":[{"name":"Oral Health CRC Melbourne Dental School and the Bio21 Institute The University of Melbourne Melbourne Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I. 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