Background: Since periodontitis prevalence has increased globally and there is a bidirectional relationship between periodontitis and diabetes mellitus (DM), new methods of preventing and screening involving DM biomarkers could impact periodontitis management. We aimed to develop a fuzzy system to estimate the risk of periodontitis in patients with DM. Methods: Body mass index (BMI), glycemia (G), total cholesterol (C), and triglyceride (T) measurements were collected from 87 patients diagnosed with DM. Oral examinations were performed, and the number of the periodontal pockets (nrPPs) was determined. A fuzzy system was developed: BMI and G as inputs resulted in Periodontitis Risk 1 (PRisk1) output; C and T as inputs resulted in Periodontitis Risk 2 (PRisk2) output. From PRisk1 and PRisk2, the cumulative periodontitis risk (PCRisk) was assessed. Linguistic terms and linguistic grades (very small, small, medium, big, and very big) were assigned to the numerical variables by using 25 different membership functions. PCRisk and nrPP values were statistically processed. Results: In our developed fuzzy system, BMI, G, C, and T as input data resulted in periodontitis risk estimation. PCRisk was correlated with nrPP: when PCRisk increased by 1.881 units, nrPP increased by 1 unit. The fuzzy logic-based system effectively estimated periodontitis risk in type 2 diabetes patients, showing a significant correlation with the number of periodontal pockets. These findings highlight its potential for early diagnosis and improved interdisciplinary care.

Even though Pt(II)-based drugs represent the standard in cancer therapy, their use is seriously limited by severe side-effects (renal toxicity, allergic reactions, gastrointestinal disorders, hemorrhage and hearing loss), drug resistance and a grim prognosis. This review presents the results of multiple studies showing different nanoparticle-based platforms as delivery agents in order to overcome these drawbacks. The approach of using nanoparticle-based drug delivery systems of Pt drugs and prodrugs is promising due to key advantages like specific targeting and thereby reduced toxicity to healthy cells; increased stability in the bloodstream; multiple mechanisms of action such as stimulating anti-tumor immunity, responding to environmental stimuli (light, pH, etc.), or penetrating deeper into tissues; enhanced efficacy by their combination with other therapies (chemotherapy, gene therapy) to amplify the anti-tumor effect. However, certain challenges need to be overcome before these solutions can be widely applied in clinics. These include issues related to biocompatibility, large-scale production, and regulatory approvals. In conclusion, using nanoparticles to deliver Pt-based drugs represents an advanced and highly promising strategy to make chemotherapy more effective and less toxic. Nonetheless, further studies are required for the better understanding of intracellular mechanisms of action, toxicity and the pharmacokinetics of nanoparticles, and physical–chemical standardization.

Background: The association of periodontal disease and diabetes is a subject of intense research in terms of etiopathology and treatment options. This research aimed to evaluate the modulation of the local inflammatory status by two natural extracts, curcumin (Cu) and rutin (R), in an experimentally induced diabetes and periodontal disease in Wistar rats. Methods: Fifty Wistar albino rats were randomly assigned to five groups: Control (C), Diabetes-associated Periodontal Disease (DP), Diabetes-associated Periodontal Disease treated with Curcumin (DPCu), Diabetes-associated Periodontal Disease treated with Rutin (DPR), and Diabetes-associated Periodontal Disease treated with both Curcumin and Rutin (DPCuR). Gingival samples were collected from all rats, and immunohistochemical markers CD3, CD20, and CD34 were evaluated to assess the local inflammatory infiltrate. Descriptive statistics were applied (SPSS24 Software, Armonk, NY, USA). Results: Rutin, alone or combined with Curcumin, reduced CD3-positive cell levels. Curcumin demonstrated superior efficacy in reducing CD20-positive cells. The combination of Curcumin and Rutin had the most important impact on both markers. Curcumin notably increased immature CD34-positive cell levels. Conclusions: Curcumin and Rutin, either alone or together, hold potential for reducing local inflammation in diabetes-induced periodontal disease in Wistar rats.