Application of quantitative proteomic analysis using tandem mass tags for discovery and identification of novel biomarkers in periodontal disease

Sachio Tsuchida, Mamoru Satoh, Yusuke Kawashima, Kazuyuki Sogawa, Sayaka Kado, Setsu Sawai, Motoi Nishimura, Mayumi Ogita, Yasuo Takeuchi, Hiroaki Kobyashi, Akira Aoki, Yoshio Kodera, Kazuyuki Matsushita, Yuichi Izumi, Fumio Nomura

研究成果: ジャーナルへの寄稿記事査読

44 被引用数 (Scopus)

抄録

Periodontal disease is a bacterial infection that destroys the gingiva and surrounding tissues of the oral cavity. Gingival crevicular fluid (GCF) is extracted from the gingival sulcus and pocket. Analysis of biochemical markers in GCF, which predict the progression of periodontal disease, may facilitate disease diagnosis. However, no useful GCF biochemical markers with high sensitivity for detecting periodontal disease have been identified. Thus, the search for biochemical markers of periodontal disease is of continued interest in experimental and clinical periodontal disease research. Using tandem mass tag (TMT) labeling, we analyzed GCF samples from healthy subjects and patients with periodontal disease, and identified a total of 619 GCF proteins based on proteomic analysis. Of these, we focused on two proteins, matrix metalloproteinase (MMP)-9 and neutrophil gelatinase-associated lipocalin (LCN2), which are involved in the progression of periodontal disease. Western blot analysis revealed that the levels of MMP-9 and LCN2 were significantly higher in patients with periodontal disease than in healthy subjects. In addition, ELISA also detected significantly higher levels of LCN2 in patients with periodontal disease than in healthy subjects. Thus, LC-MS/MS analyses of GCF using TMT labeling led to the identification of LCN2, which may be a promising GCF biomarker for the detection of periodontal disease.

本文言語英語
ページ(範囲)2339-2350
ページ数12
ジャーナルProteomics
13
15
DOI
出版ステータス出版済み - 8月 2013
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