The association between periodontal microbial biomarkers and primary therapy outcome

Clinical Oral Investigations, Journal Year: 2024, Volume and Issue: 28(10)

Published: Sept. 13, 2024

This study aims to analyse the association between baseline microbial load of selected periodontopathogenic bacteria collected from gingival crevicular fluid (GCF) and primary outcome steps I II therapy.

Language: Английский

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Porphyromonas gingivalis inducing autophagy-related biological dysfunction in alveolar epithelial cells: an in vitro study

BMC Oral Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 5, 2024

Chronic obstructive pulmonary disease (COPD) is a respiratory with high morbidity and mortality. Notably, the pathogenesis progression of COPD are related to lung infection, inflammatory response, biological dysfunction in alveolar epithelial cells. Studies also found that periodontitis an independent risk factor for COPD. The inhalation periodontal pathogens into system most common method promote development Porphyromonas gingivalis (P. gingivalis), keystone pathogen periodontitis, has been migrate lungs, triggering reactions causing decreased function. However, impact P. infection on function cells remains unclear. Therefore, this study aimed investigate effects functions Mouse (MLE-12) were co-cultured treated autophagy inhibitor chloroquine (CQ) or LC3 siRNA vitro. MTT assay EdU staining used detect cell viability, TUNEL kit Annexin V-FITC/PI apoptosis. Western blot was autophagic markers P62, mRFP-GFP-LC3 observe flux. inhibited viability dose- time-dependent manner. promoted apoptosis dose-dependent Interestingly, we inhibiting using CQ silencing significantly reduced damage induced by gingivalis. Thus, these data indicated synergistic effect gingivalis-induced can cause cells, manifested as increased up-regulation plays role dysfunction.

Language: Английский

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Prognostic Impact of Microbiome Dysbiosis: A Prospective Study

Journal Of Clinical Periodontology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 22, 2024

ABSTRACT Aims To determine the relationship between microbiome dysbiosis indices and biofilm immunogenicity their prognostic implications on periodontal treatment response. Materials Methods Thirty periodontally healthy controls 30 periodontitis cases (stage III) were recruited. Cases received non‐surgical therapy (NSPT), response at 6 months was evaluated using a treat‐to‐target endpoint (≤ 4 sites with probing depths ≥ 5 mm). Pooled subgingival samples obtained from cases. The V3–4 hypervariable region of 16S rRNA gene sequenced two compositional (subgingival index, SMDI, ratio, DR) calculated. Nuclear factor kappa‐B (NF‐κB) activation elicited by in monocytic reporter cells quantified to assess immunogenicity. Results DR highly diagnostic for (area under curves [AUC] > 0.90, p < 0.001). Among cases, all three microbial parameters significantly reduced after NSPT ( achieving had lower pre‐treatment SMDI 0.05) different recolonization patterns poor responders. Both measures predicted (AUC 0.767 0.835, respectively, 0.05). Conclusion Subgingival predictive outcomes.

Language: Английский

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Periodontal Molecular Diagnostics: State of Knowledge and Future Prospects for Clinical Application

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(23), P. 12624 - 12624

Published: Nov. 25, 2024

Periodontitis leads to immunologically mediated loss of periodontium and, if untreated, can result in tooth loss. Periodontal diseases are the most prevalent world and have a very strong impact on patients' well-being general health. Their treatment generates enormous costs. Given above, precise, prompt, predictive diagnosis periodontal disease is paramount importance for clinicians. The aim study was summarize state-of-the-art knowledge molecular diagnostics utility its clinical application. There great need diagnostic tests that not only describe destruction has occurred tissues but also allow clinicians detect at subclinical level before changes occur. A test would enable follow course areas prone exacerbation could be used evaluate effectiveness ongoing therapies. Unfortunately, there no such method yet. hopeful prospect diagnostics. numerous studies biomarkers disease. Point-of-care emerging. possibilities processing large biological datasets (omics data). However, all above minor role overall single-patient process. Despite advances microbiological, molecular, genetic research, basis still examination enriched by evaluation radiological images.

Language: Английский

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НОВЫЕ БИОМАРКЕРЫ ДЛЯ ДИАГНОСТИКИ ЗАБОЛЕВАНИЙ РТА

Vestnik, Journal Year: 2024, Volume and Issue: 4(71), P. 1 - 30

Published: Dec. 24, 2024

Заболевания полости рта, такие как пародонтоз, кариес зубов и рак являются значительными проблемами здравоохранения, которые влияют не только на здоровье но весь организм. Традиционные методы диагностики часто выявляют эти заболевания поздних стадиях, что ограничивает возможности лечения его исход. Появление биомаркеров — биологических молекул, обнаруживаемых в жидкостях, таких слюна жидкость десневой борозды (GCF), открывает многообещающие для ранней неинвазивной диагностики, прогнозирования персонализированного лечения. В этом обзоре рассматривается роль диагностике заболеваний рта с упором их способность выявлять патологии ранних стадиях. Биомаркеры слюны, богатые пролином белки (PRP) микроРНК (miRNA), уже проявили себя выявлении риска кариеса плоскоклеточного рака стадии (OSCC). GCF, соотношение RANKL/OPG цитокины, позволяют врачам отслеживать прогрессирование пародонта настраивать планы Интеграция высокопроизводительных технологий искусственного интеллекта исследования еще больше повышает точность персонализированный уход. Цель данного обзора состоит анализе детальном обсуждении использования современных рта. Особое внимание уделяется биомаркерам слюны жидкости представляют собой перспективные инструменты различных патологий, включая онкологические заболевания. Эти биомаркеры обладают высоким потенциалом раннего выявления, мониторинга прогрессирования оценки эффективности терапевтических вмешательств. Oral diseases such as periodontal disease, dental caries, and oral cancer are significant public health problems that affect not only but also the entire body. Traditional diagnostic methods often detect these at late stages, which limits treatment options outcomes. The advent of biomarkers, biological molecules found in fluids saliva gingival crevicular fluid offers promising opportunities for early non-invasive diagnosis, prognosis, personalized treatment. This review examines role biomarkers diagnosis diseases, focusing on their ability to pathologies stages. Salivary proline-rich proteins (PRPs) microRNAs (miRNAs) have already shown promise identifying risk caries squamous cell carcinoma GCF ratio cytokines enable clinicians monitor disease progression customize plans. integration high-throughput technologies artificial intelligence biomarker research further enhances accuracy care. aim this is analyse discuss detail use modern diseases. Particular attention paid salivary (GCF) tools various pathologies, including cancer. These high potential detection, monitoring progression, evaluation effectiveness therapeutic interventions. Пародонт ауруы, тіс кариесі және ауыз қуысының қатерлі ісігі сияқты қуысы аурулары денсаулығына ғана емес, бүкіл денеге әсер ететін маңызды денсаулық проблемалары болып табылады. Дәстүрлі диагностикалық әдістер көбінесе бұл ауруларды тек соңғы кезеңде анықтайды, емдеу мүмкіндіктері мен нәтижесін шектейді. Биомакерлердің пайда болуы - сілекей қызыл иектің кревикулярлық сұйықтығы дене сұйықтықтарында кездесетін биологиялық молекулалар ерте инвазивті емес диагностика, болжау жеке үшін перспективалы мүмкіндіктер ұсынады. Бұл шолуда ауруларын диагностикалаудағы биомаркерлердің рөлі зерттеледі, олардың патологияны анықтау қабілетіне назар аударылады. Пролинге бай протеиндер микроРНҚ (миРНҚ) биомаркерлері кариесінің сатыдағы скамозды жасушалық карциномасының (OSCC) қаупін анықтайтыны көрсетілген. қатынасы цитокиндер клиницистерге пародонт ауруларының дамуын бақылауға жоспарларын сәйкестендіруге мүмкіндік береді. Жоғары өнімді технологиялар жасанды интеллектті биомаркерді зерттеуге біріктіру дәлдікті күтімді одан әрі жақсартады. шолудың мақсаты қазіргі қолданылуын егжей-тегжейлі талдау талқылау. Әртүрлі патологияларды, соның ішінде ісіктерді диагностикалаудың құралдарын білдіретін сұйықтығының биомаркерлеріне ерекше биомаркерлер анықтау, аурудың бақылау терапевтік араласулардың тиімділігін бағалау жоғары әлеуетке ие.

Language: Русский

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Population Proteomics: A Tool to Gain Insights Into the Inflamed Periodontium

PROTEOMICS, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 30, 2024

Periodontitis, characterized by inflammatory loss of tooth-supporting tissues associated with biofilm, is among the most prevalent chronic diseases globally, affecting approximately 50% adult population to a moderate extent and cases severe periodontitis surpassing one billion mark. Proteomics analyses blood, serum, oral fluids have provided valuable insights into complex processes occurring in inflamed periodontium. However, until now, proteome been primarily limited small groups diseased versus healthy individuals. The emergence population-scale analysis proteomic data offers opportunities uncover disease-associated pathways, identify potential drug targets, discover biomarkers. In this review, we will explore applications proteomics population-based studies discuss advancements it brings our understanding periodontal inflammation. Additionally, highlight challenges posed currently available offer perspectives for future research. This review aims explain ongoing efforts leveraging elucidating complexities paving way clinical strategies.

Language: Английский

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