{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T23:44:25Z","timestamp":1785368665065,"version":"3.55.0"},"reference-count":49,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T00:00:00Z","timestamp":1560470400000},"content-version":"am","delay-in-days":365,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#am"},{"start":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T00:00:00Z","timestamp":1528934400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["r01lm009338"],"award-info":[{"award-number":["r01lm009338"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CBET\u20100941143"],"award-info":[{"award-number":["CBET\u20100941143"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Periodontal Research"],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:sec><jats:title>Background and Objective<\/jats:title><jats:p>Untargeted, high\u2010throughput proteomics methodologies have great potential to aid in identifying biomarkers for the diagnosis of periodontal disease. The application of such methods to the discovery of candidate biomarkers for the resolution of periodontal inflammation after periodontal therapy has been investigated.<\/jats:p><\/jats:sec><jats:sec><jats:title>Material and Methods<\/jats:title><jats:p>Gingival crevicular fluid samples were collected from 10 patients diagnosed with chronic periodontitis at baseline and 1, 5, 9 and 13\u00a0weeks after completion of mechanical periodontal treatment. Clinical indices of periodontal disease, including probing depth, recession, clinical attachment level and bleeding on probing, were recorded at baseline and 13\u00a0weeks. Samples were analyzed using an online liquid chromatography\u2010nanoelectrospray\u2010hybrid ion trap\u2010Orbitrap mass spectrometer. Spectra were processed with the <jats:styled-content style=\"fixed-case\">PILOT<\/jats:styled-content>_<jats:styled-content style=\"fixed-case\">PROTEIN<\/jats:styled-content> proteomics software suite.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Clinical parameters were significantly improved 13\u00a0weeks after treatment (Wilcoxon signed ranks test, <jats:italic>P\u00a0<\/jats:italic>&lt;\u00a0.05). From the substantial number of identified proteins, a small subset was extracted by filter methods that included temporal pattern matching, logistic function fitting and mixed\u2010integer linear optimization. This subset includes azurocidin, lysozyme C and myosin\u20109 as candidate biomarkers prominent at baseline and alpha\u2010smooth muscle actin as prominent 13\u00a0weeks after treatment. Cross\u2010validation studies yielded average predictive accuracy and area under the curve of 0.900 and 0.930, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>High\u2010throughput proteomic analysis can contribute to identifying endpoints of periodontal therapy. These candidate biomarkers should be evaluated for clinical efficacy.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jre.12575","type":"journal-article","created":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T10:03:08Z","timestamp":1528970588000},"page":"853-860","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["High\u2010throughput proteomic analysis of candidate biomarker changes in gingival crevicular fluid after treatment of chronic periodontitis"],"prefix":"10.1111","volume":"53","author":[{"given":"Y. 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