5 research outputs found

    Six miRNA expressions in the saliva of smokers and non-smokers with periodontal disease

    Get PDF
    BackgroundIt has been stated that microRNA (miRNA) plays an important role in development, homeostasis, and immune functions, and abnormal miRNA expression may cause faster disease progression. ObjectiveThe aim of this study was to determine miR-203, miR-142-3p, miR-146a, miR-146b, miR-155, and miR-29b gene expressions in the saliva of smokers and non-smokers with the periodontal disease before and after non-surgical periodontal therapy (NSPT). MethodsA total of 90 individuals, 30 with periodontitis, 30 with gingivitis, and 30 periodontally healthy (control group), were included. These three groups were divided into subgroups as smoking and non-smoking individuals, with 15 people in each group. NSPT was applied to patients with periodontitis and gingivitis. Saliva samples and clinical parameters were obtained at baseline and repeated 6 weeks after NSPT. ResultsSaliva miR-203, miR-142-3p, miR-146a, miR-146b, and miR-155 gene expressions were significantly upregulated in patients with periodontal disease compared to the control group both in smokers and non-smokers, and also these miRNAs' gene expressions were significantly higher in the periodontitis group than in the gingivitis group at baseline (p .05). ConclusionsThese results suggest that salivary miR-146a, miR-146b, miR142-3p, miR-155, and miR-203 gene expressions increased with the progression of periodontal disease, but unchanged after periodontal treatment. Moreover, smoking may contribute to an increase in the levels of salivary miR-142-3p in the periodontal health and disease

    A score for predicting colchicine resistance at the time of diagnosis in familial Mediterranean fever: data from the TURPAID registry.

    No full text
    Objectives Colchicine forms the mainstay of treatment in FMF. Approximately 5-10% of FMF patients are colchicine resistant and require anti-IL-1 drugs. We aimed to compare the characteristics of colchicine-resistant and colchicine-responsive patients and to develop a score for predicting colchicine resistance at the time of FMF diagnosis. Methods FMF patients (0-18 years) enrolled in the Turkish Paediatric Autoinflammatory Diseases (TURPAID) registry were included. The predictive score for colchicine resistance was developed by using univariate/multivariate regression and receiver operating characteristics analyses. Results A total of 3445 FMF patients [256 (7.4%) colchicine-resistant and 3189 colchicine-responsive) were included (female:male ratio 1.02; median age at diagnosis 67.4 months). Colchicine-resistant patients had longer, more frequent attacks and were younger at symptom onset and diagnosis (P < 0.05). Fever, erysipelas-like erythema, arthralgia, arthritis, myalgia, abdominal pain, diarrhoea, chest pain, comorbidities, parental consanguinity and homozygosity/compound heterozygosity for exon 10 MEFV mutations were significantly more prevalent among colchicine-resistant than colchicine-responsive patients (P < 0.05). Multivariate logistic regression analysis in the training cohort (n = 2684) showed that age at symptom onset, attack frequency, arthritis, chest pain and having two exon 10 mutations were the strongest predictors of colchicine resistance. The score including these items had a sensitivity of 81.3% and a specificity of 49.1%. In the validation cohort (n = 671), its sensitivity was 93.5% and specificity was 53.8%. Conclusion We developed a clinician-friendly and practical predictive score that could help us identify FMF patients with a greater risk of colchicine resistance and tailor disease management individually at the time of diagnosis
    corecore