Salivary biomarker combination prediction model for the diagnosis of periodontitis in a Taiwanese population

Wu, Yungang; Liao, Ning; Tu, Yu–Kang; Huang, Chen; Huang, Nien-Tsu; Chen, Yih Fan; Chang, Ping-Chuan

doi:10.1016/j.jfma.2017.10.004

Cited by 52 publications

(55 citation statements)

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“…Different markers may be peaked at different course of disease and when biomarkers of host and microbe origin are combined, the detection of periodontitis maybe improved rather than when used individually [13,30,31], previous studies revealed stronger discriminatory power when IL-1β, MMP-8 and other markers were combined compared with single analysis [32], Pg and MMP-8 in combination [33], ICTP and MMP-8 in combination [34] also exhibited more predictive values. Our data showed that IL-1β individually revealed an AUC value of 0.88 to discriminate periodontitis from healthy subjects, the combination of IL-1β, MMP-8 and Pg strong performance improvement to an AUC value of 0.92, that is consistent with Gursoy's results [35,36], they calculated IL-1β, MMP-8 and Pg together to obtain a cumulative risk score that is highly related with advanced periodontitis.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of Salivary Biomarkers for the Diagnosis of Periodontitis

Zhang

Kang

Xue

et al. 2020

Preprint

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Background: To investigate the diagnostic potential of salivary biomarkers and built a prediction panel for diagnosing periodontal disease. Methods: In a cross-sectional study, a total of 85 participants were enrolled in the study and divided into healthy, gingivitis and periodontitis groups based on their periodontal examine results, a full mouth periodontal examination were received and unstimulated saliva were collected. Salivary IL-1β, MMP-8, ICTP and Pg were assessed and their potential of diagnosing periodontal disease were analyzed, the combinational prediction panels of periodontal disease were evaluated. Results: The periodontitis group showed significantly higher level of IL-1β, MMP-8, ICTP and Pg compared to healthy group and higher level of IL-1β, ICTP and Pg compared to gingivitis group, the gingivitis group showed higher level of IL-1β, MMP-8 and Pg compared to healthy group. As a single marker, IL-1β showed the best diagnostic value of four markers and exhibited an AUC value of 0.88 with 94% sensitivity and 71% specificity to discriminate periodontitis from healthy subjects, an AUC value of 0.81 with 82% sensitivity and 76% specificity to discriminate gingivitis from healthy subjects and an AUC value of 0.67 with 69% sensitivity and 64% specificity to discriminate periodontitis from gingivitis subjects. The combination of IL-1, ICTP and Pg exhibited the highest value to discriminate periodontitis from healthy (AUC=0.94) and gingivitis (AUC=0.78) subjects, the combination of IL-1 and MMP-8 exhibited the best value to discriminate gingivitis from healthy subjects (AUC=0.85). Conclusions: Salivary IL-1β, MMP-8, ICTP and Pg showed discriminate efficiency for diagnosing periodontal disease, the combination of IL-1, ICTP and Pg can be used to discriminate periodontitis from healthy and gingivitis subjects and the combination of IL-1 and MMP-8 can be used to discriminate gingivitis from healthy subjects.

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Section: Discussionmentioning

confidence: 99%

“…Based on the results from Mishra et al [11] and Wu et al [13], a minimum of 25 participants per group was set as the sample size of the present study. The SPSS statistical program (Version 21.0; SPSS Inc., Chiacago, IL, USA) was used to analyses the data.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Salivary Biomarkers for the Diagnosis of Periodontitis

Zhang

Kang

Xue

et al. 2020

Preprint

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“…After reviewing the literature, we identified research that focused on evaluating whether salivary IL1β levels have the capability to distinguish between patients with different periodontal conditions (Afacan et al, 2018; Ebersole et al, 2013, 2015; Isaza‐Guzmán et al, 2017; Ramseier et al, 2009; Sánchez et al, 2013; Wu et al, 2018). After analysing these studies in‐depth, we verified the heterogeneity with respect to methodological factors that may affect the diagnostic classification parameters associated with a biomarker.…”

Section: Discussionmentioning

confidence: 99%

“…However, until now, compliance with this characteristic has been almost impossible when evaluating salivary biomarkers for the diagnosis of periodontitis (Arias‐Bujanda et al, 2020). In the case of IL1β, the described sensitivity values ranged from 88% to 54% and specificity from 100% to 52% (Afacan et al, 2018; Ebersole et al, 2013, 2015; Isaza‐Guzmán et al, 2017; Ramseier et al, 2009; Sánchez et al, 2013; Wu et al, 2018). This discrepancy may be due to the differences observed between the studies in relation to the different control groups and the different groups of periodontal patients analysed.…”

Section: Discussionmentioning

confidence: 99%

“…In order to assess the diagnostic capacity of a biomarker, it is necessary to design a diagnostic precision study that reveals discrimination and classification measures of a clinical condition (McInnes, Moher, Thombs, McGrath, & Bossuyt, 2018). Although IL1β was the first cytokine to be quantified in the gingival tissue of patients with chronic periodontitis (Hönig, Rordorf Adam, Siegmund, Wiedemann, & Erard, 1989), very few studies have been published on its diagnostic accuracy in saliva, and none of them have evaluated the impact of a patient's “smoking habit” on this diagnostic capability (Afacan, Öztürk, Emingil, Kose, & Bostanci, 2018; Ebersole, Nagarajan, Akers, & Miller, 2015; Ebersole et al, 2013; Isaza‐Guzmán, Medina‐Piedrahíta, Gutiérrez‐Henao, & Tobón‐Arroyave, 2017; Ramseier et al, 2009; Sánchez, Miozza, Delgado, & Busch, 2013; Wu et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic accuracy of IL1β in saliva: The development of predictive models for estimating the probability of the occurrence of periodontitis in non‐smokers and smokers

Arias-Bujanda

Regueira-Iglesias

Blanco-Pintos

et al. 2020

J Clinic Periodontology

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Aim:To obtain salivary interleukin (IL) 1β-based models to predict the probability of the occurrence of periodontitis, differentiating by smoking habit. Materials/Methods:A total of 141 participants were recruited, 62 periodontally healthy controls and 79 subjects affected by periodontitis. Fifty of the diseased patients were given non-surgical periodontal treatment and showed significant clinical improvement in 2 months. IL1β was measured in the salivary samples using the Luminex instrument. Binary logistic regression models were obtained to differentiate untreated periodontitis from periodontal health (first modelling) and untreated periodontitis from treated periodontitis (second modelling), distinguishing between nonsmokers and smokers. The area under the curve (AUC) and classification measures were calculated. Results:In the first modelling, IL1β presented AUC values of 0.830 for non-smokers and 0.689 for smokers (accuracy = 77.6% and 70.7%, respectively). In the second, the predictive models revealed AUC values of 0.671 for non-smokers and 0.708 for smokers (accuracy = 70.0% and 75.0%, respectively). Conclusion:Salivary IL1β has an excellent diagnostic capability when it comes to distinguishing systemically healthy patients with untreated periodontitis from those who are periodontally healthy, although this discriminatory potential is reduced in smokers. The diagnostic capacity of salivary IL1β remains acceptable for differentiating between untreated and treated periodontitis. K E Y W O R D S diagnostic accuracy, interleukin 1β, periodontitis, predictive values, prevalence, saliva, sensitivity, specificity | 703 ARIAS-BUJANDA et Al.

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Update on the Role of Cytokines as Oral Biomarkers in the Diagnosis of Periodontitis

Blanco-Pintos

Regueira-Iglesias

Balsa-Castro

et al. 2022

Advances in Experimental Medicine and Biology

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Salivary biomarker combination prediction model for the diagnosis of periodontitis in a Taiwanese population

Abstract: Regarding individual biomarkers, IL-1β, MMP-8, and MMP-9 showed potential for identifying patients with periodontitis. The combination of IL-1β, IL-1ra, and MMP-9 might be feasible for developing a future point-of-care device for diagnosing periodontitis.

Cited by 52 publications

References 38 publications

Evaluation of Salivary Biomarkers for the Diagnosis of Periodontitis

Evaluation of Salivary Biomarkers for the Diagnosis of Periodontitis

Diagnostic accuracy of IL1β in saliva: The development of predictive models for estimating the probability of the occurrence of periodontitis in non‐smokers and smokers

Update on the Role of Cytokines as Oral Biomarkers in the Diagnosis of Periodontitis

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