Evaluation of Dental Materials and Oral Disease-Related Proteins in Dentistry: Efficacy of Electrophoresis as a Valuable Tool DOI Creative Commons
Aida Meto, Agron Meto

IntechOpen eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 3, 2023

Electrophoresis is a versatile technique that allows for the separation of molecules based on their size and electrical charge. In field dentistry, electrophoresis widely used in various applications, including analysis dental materials proteins associated with diseases oral cavity. Through electrophoresis, it possible to evaluate distribution filler particles within resin matrices, providing valuable information mechanical properties durability composite restorations. Furthermore, this has significantly contributed study implicated diseases, such as caries periodontitis. By effectively identifying separating these proteins, researchers gain deeper understanding mechanisms underlying conditions, facilitating development innovative therapeutic strategies. Overall, application dentistry emerged an indispensable tool comprehensive characterization diseases.

Language: Английский

Periodontal microbiology and microbial etiology of periodontal diseases: Historical concepts and contemporary perspectives DOI Creative Commons
Georgios N. Belibasakis, Daniel Belstrøm, Sigrun Eick

et al.

Periodontology 2000, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 20, 2023

Abstract This narrative review summarizes the collective knowledge on periodontal microbiology, through a historical timeline that highlights European contribution in global field. The etiological concepts disease culminate to ecological plaque hypothesis and its dysbiosis‐centered interpretation. Reference is made anerobic microbiology discovery of select pathogens their virulence factors, as well biofilms. evolution contemporary molecular methods high‐throughput platforms highlighted appreciating breadth depth microbiome. Finally clinical brought into perspective with different microbial species diagnosis, combination host biomarkers for this purpose, use antimicrobials treatment disease.

Language: Английский

Citations

88
Microbial diagnostics in periodontal diseases DOI
Daniel Manoil, Ana Parga, Nagihan Bostancı

et al.

Periodontology 2000, Journal Year: 2024, Volume and Issue: 95(1), P. 176 - 193

Published: May 26, 2024

Microbial analytical methods have been instrumental in elucidating the complex microbial etiology of periodontal diseases, by shaping our understanding subgingival community dynamics. Certain pathobionts can orchestrate establishment dysbiotic communities that subvert host immune system, triggering inflammation and tissue destruction. Yet, diagnosis management conditions still rely on clinical radiographic examinations, overlooking well-established etiology. This review summarizes chronological emergence etiological models co-evolution with technological advances detection. We additionally approaches currently accessible to clinicians, highlighting their value broadening assessment. The epidemiological importance obtaining culture-based antimicrobial susceptibility profiles taxa for antibiotic resistance surveillance is also underscored, together clinically relevant guide antibiotherapy choices, when necessary. Furthermore, 16S-based shotgun metagenomic profiling discussed outlining signatures. Because dysbiosis precedes damage, biomarker identification offers early diagnostic possibilities forestall disease relapses during maintenance. Altogether, this highlights underutilized potential microbiology periodontology, spotlighting areas most conductive its implementation enhancing prevention, treatment predictability, addressing global resistance.

Language: Английский

Citations

19
Diagnostic Accuracy of a Point‐Of‐Care aMMP‐8 Test for Discriminating Periodontal Health Status in Adults: Validation Trials and Updated Meta‐Analysis DOI Creative Commons
Yuan Li,

Julie Choi Ka Kung,

Junyu Shi

et al.

Journal Of Clinical Periodontology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

ABSTRACT Aim To evaluate the diagnostic accuracy of an active matrix metalloproteinase‐8 (aMMP‐8) point‐of‐care oral rinse test (POC‐ORT) for predicting periodontitis in treatment‐naïve subjects two independent studies and update a recent meta‐analysis. Methods The aMMP‐8 POC‐ORT index was performed representative population Hong Kong, China, consecutive convenience sample Shanghai, China. reference standard 2017 World Workshop classification periodontal diseases. Sensitivity, specificity, area under receiver operating characteristic (AUROC) curve were assessed. original data used to Bayesian meta‐analysis following current Cochrane guideline trials. GRADE framework interpret strength certainty evidence. Results Three‐hundred eighty‐four 390 enrolled Kong Shanghai studies, respectively; 74.5% 67.2% had periodontitis. An aMMP‐8‐positive predicted with AUROC 0.661 0.669 studies. updated systematic review included eight 2048 subjects. After considering risk bias, indirectness, inconsistency, imprecision publication it showed moderate sensitivity 0.59 (95% CrI: 0.42–0.75), specificity 0.82 0.68–0.93) hierarchical summary 0.77 0.74–0.81). Conclusion There is that predicts low sensitivity, high accuracy. Its false‐negative rate does not allow replacement clinical examinations when available. positive predictive value shows potential utility self‐detection or co‐management medical setting its incorporation multi‐test diagnostics. Further investigations are highly warranted.

Language: Английский

Citations

3
Molecular biomarker research in periodontology: A roadmap for translation of science to clinical assay validation DOI
Ulvi Kahraman Gürsoy, Alpdoğan Kantarcı

Journal Of Clinical Periodontology, Journal Year: 2022, Volume and Issue: 49(6), P. 556 - 561

Published: March 24, 2022

The number of studies that aims to apply host- or microbe-derived biochemical biomarkers periodontal disease diagnosis has increased significantly during the last three decades. markers can reflect presence, severity, and activity diseases; however, heterogeneities in applied laboratory methods, data presentation, statistical analysis, interpretation prevent translation candidate clinical assay validation. Here, we propose a roadmap for making research outcomes comparable re-analysable with ultimate goal translating practice. This presents reporting recommendations biomarker periodontology. We aim make essential elements work (including diagnostic criteria, endpoint definitions, participant recruitment sample collection storage techniques, microbiological detection analysis) visible comparable.

Language: Английский

Citations

26
Development of a machine learning multiclass screening tool for periodontal health status based on non‐clinical parameters and salivary biomarkers DOI Creative Commons
Ke Deng, Francesco Zonta, Huan Yang

et al.

Journal Of Clinical Periodontology, Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 11, 2023

To develop a multiclass non-clinical screening tool for periodontal disease and assess its accuracy differentiating health, gingivitis different stages of periodontitis.A cross-sectional diagnostic study on convenience sample 408 consecutive subjects was conducted by applying three index tests estimating features the health-disease spectrum: self-administered questionnaire, an oral rinse activated matrix metalloproteinase-8 (aMMP-8) point-of-care test (POCT) determination gingival bleeding brushing (GBoB). Full-mouth examination reference standard. The diagnosis made basis 2017 classification diseases conditions. Logistic regression random forest (RF) analyses were performed to predict various diagnoses, measures assessed.Four-hundred eight enrolled in this study, including those with health (16.2%), (15.2%) stage I (15.9%), II III (29.7%) IV (7.1%) periodontitis. Nine predictors, namely 'gum disease' (Q1), 'a rating gum/teeth health' (Q2), 'tooth cleaning' (Q3a), symptom 'loose teeth' (Q4), 'use floss' (Q7), aMMP-8 POCT, self-reported GBoB, haemoglobin age, resulted high levels RF classifier. High (area under ROC curve > 0.94) observed discrimination (health, periodontitis) six classes gingivitis, I, II, periodontitis). Confusion matrices showed that misclassification periodontitis case as or less than 1%-2%.Machine learning-based classifiers, such analyses, are promising tools assessment setting. Results need be externally validated appropriately sized independent samples (ClinicalTrials.gov NCT03928080).

Language: Английский

Citations

17
Gingival crevicular fluid galectin-3 and interleukin-1 beta levels in stage 3 periodontitis with grade B and C DOI
Beral Afacan, Harika Atmaca, Timur Köse

et al.

Clinical Oral Investigations, Journal Year: 2023, Volume and Issue: 27(7), P. 3749 - 3758

Published: April 5, 2023

Language: Английский

Citations

11
Salivary levels of BAFF, TWEAK, and soluble CD163 and salivary arginase activity before and after periodontal treatment DOI Creative Commons
Mustafa Yılmaz, Esra Demir, Mervi Gürsoy

et al.

Journal of Periodontal Research, Journal Year: 2023, Volume and Issue: 58(3), P. 646 - 654

Published: April 5, 2023

To monitor salivary B-cell activating factor (BAFF), tumor necrosis factor-like weak inducer of apoptosis (TWEAK), and soluble (s)CD163 levels arginase activity in periodontitis patients following nonsurgical periodontal treatment.BAFF, TWEAK, sCD163 are associated with activities B cells macrophages, which important regulators immune-inflammatory response healing treatment. Increased BAFF have been demonstrated, but their changes treatment not evaluated before.Forty-four Stage III/IV 35 periodontally healthy controls were included the study. Full-mouth measurements recorded unstimulated saliva was obtained from all participants at baseline. Sample collection repeated 2, 6, 12, 24 weeks full-mouth scaling root debridement, whereas only seen BAFF, analyzed bead-based multiplexed immunoassay. Arginase measured Chinard's method.BAFF (p < .001) = .003) .015) higher compared to controls. reduced 2 posttreatment continued decrease up 6 .038) 12 .024), respectively. The reduction became significant posttreatment.The after indicates a change cell signaling toward limited activation. Decreasing similarly reflects inflammatory response. that observed may reflect longstanding anti-inflammatory macrophage activation, given multiple functions immune response, inflammation, healing.

Language: Английский

Citations

10
Using SWATH‐MS to identify new molecular biomarkers in gingival crevicular fluid for detecting periodontitis and its response to treatment DOI Creative Commons
Triana Blanco‐Pintos, Alba Regueira‐Iglesias, Marta Relvas

et al.

Journal Of Clinical Periodontology, Journal Year: 2024, Volume and Issue: 51(10), P. 1342 - 1358

Published: July 10, 2024

Abstract Aim To identify new biomarkers to detect untreated and treated periodontitis in gingival crevicular fluid (GCF) using sequential window acquisition of all theoretical mass spectra (SWATH‐MS). Materials Methods GCF samples were collected from 44 periodontally healthy subjects 40 with (Stages III–IV). In the latter, 25 improved clinically 2 months after treatment. Samples analysed SWATH‐MS, proteins identified by UniProt human‐specific database. The diagnostic capability was determined generalized additive models distinguish three clinical conditions. Results vs . periodontal health modelling, five showed excellent or good bias‐corrected (bc)‐sensitivity/bc‐specificity values >80%. These GAPDH, ZG16B, carbonic anhydrase 1, plasma protease inhibitor C1 haemoglobin subunit beta. GAPDH MMP‐9, MMP‐8, zinc‐α‐2‐glycoprotein neutrophil gelatinase‐associated lipocalin ZG16B cornulin provided increased bc‐sensitivity/bc‐specificity >95%. For distinguishing health, most these their combinations revealed a predictive ability similar previous modelling. No model obtained relevant results differentiate between Conclusions New single dual protein outstanding discriminating health. Periodontitis conditions indistinguishable. Future research must validate findings.

Language: Английский

Citations

4
Advances in periodontal biomarkers DOI
Ulvi Kahraman Gürsoy, Meltem Özdemir Kabalak, Mervi Gürsoy

et al.

Advances in clinical chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 145 - 168

Published: Jan. 1, 2024

Language: Английский

Citations

3
“Outcome of non-surgical periodontal treatment on Gal-1 and Gal-3 GCF levels in periodontitis patients: a case-control study” DOI Creative Commons

Nayroz Abdel Fattah Tarrad,

Olfat Shaker,

Riham Mohamed Hassan Elbanna

et al.

Clinical Oral Investigations, Journal Year: 2024, Volume and Issue: 28(6)

Published: May 14, 2024

This study aimed to explore the effect of nonsurgical periodontal treatment on Galectin-1 and -3 GCF levels in gingivitis periodontitis stage III compared periodontally healthy individuals, determine whether they could serve as diagnostic markers / therapeutic targets for revealing their possible role disease.

Language: Английский

Citations

3