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Oral Fluid Biomarkers for Diagnosing Gingivitis in Human: A Cross-Sectional Study

Authors
 Inpyo Hong  ;  Hyung-Chul Pae  ;  Young Woo Song  ;  Jae-Kook Cha  ;  Jung-Seok Lee  ;  Jeong-Won Paik  ;  Seong-Ho Choi 
Citation
 JOURNAL OF CLINICAL MEDICINE, Vol.9(6) : 1720, 2020-06 
Journal Title
 JOURNAL OF CLINICAL MEDICINE 
Issue Date
2020-06
Keywords
biomarker ; diagnosis ; gingivitis ; matrix metalloproteinase-8 (MMP-8) ; myeloperoxidase (MPO)
Abstract
Diagnoses based on oral fluid biomarkers have been introduced to overcome limitations of periodontal probe-based diagnoses. Diagnostic ability of certain biomarkers for periodontitis have been identified and widely studied, however, such studies targeting gingivitis is scarce. The aims of this study were to determine and compare the efficacies and accuracies of eight biomarkers in diagnosing gingivitis with the aid of receiver operating characteristic (ROC) curves. The probing depth (PD), clinical attachment loss (CAL), bleeding on probing (BOP), gingival index (GI), and plaque index (PI) were examined in 100 participants. Gingival crevicular fluid was collected using paper points, and whole-saliva samples were collected using cotton roll. Samples were analyzed using enzyme-linked immunosorbent assay kits for the different biomarkers. The levels of matrix metalloproteinase (MMP)-8, MMP-9, lactoferrin, cystatin C, myeloperoxidase (MPO), platelet-activating factor, cathepsin B, and pyridinoline cross-linked carboxyterminal telopeptide of type I collagen were analyzed. MPO and MMP-8 levels in saliva were strongly correlated with gingivitis, with Pearson's correlation coefficients of 0.399 and 0.217, respectively. The area under the curve (AUC) was largest for MMP-8, at 0.814, followed by values of 0.793 and 0.777 for MPO and MMP-9, respectively. The clinical parameters of GI and PI showed strong correlations and large AUC values, whereas PD and CAL did not. MMP-8 and MPO were found to be effective for diagnosing gingivitis. Further investigations based on the results of this study may identify clinically useful biomarkers for the accurate and early detection of gingivitis.
Files in This Item:
T202002325.pdf Download
DOI
10.3390/jcm9061720
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Periodontics (치주과학교실) > 1. Journal Papers
Yonsei Authors
Pae, Hyung-Chul(배형철) ORCID logo https://orcid.org/0000-0002-6365-3557
Paik, Jeong Won(백정원) ORCID logo https://orcid.org/0000-0002-5554-8503
Song, Young Woo(송영우) ORCID logo https://orcid.org/0000-0003-1835-5646
Lee, Jung Seok(이중석) ORCID logo https://orcid.org/0000-0003-1276-5978
Cha, Jae Kook(차재국) ORCID logo https://orcid.org/0000-0001-6817-9834
Choi, Seong Ho(최성호) ORCID logo https://orcid.org/0000-0001-6704-6124
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/179365
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