This study investigated changes in oral health-related quality of life (OHRQoL) in partially edentulous patients treated with removable dental prostheses (RDPs), fixed dental prostheses (FDPs), fixed-removable (combined) restorations (COMBs), and implant-supported fixed prostheses (ISFPs). A total of 200 patients (30 to 50 years old) were enrolled: 45 received RDPs, 32 received FDPs, 66 received COMBs, and 57 received ISFPs. OHRQoL was measured using the shortened version of the Oral Health Impact Profile (OHIP-14) before treatment and 6 weeks and 6 months after treatment. Treatment groups were sex-neutral; however, significant differences were found relative to age and Kennedy classification. A general linear model was used to explore the interaction of age and Kennedy classification with treatment modality. Pretreatment analysis revealed that the psychologic discomfort domain showed the greatest negative impact on OHRQoL, while functional limitation had the smallest effect. Within-group comparison revealed a significant decrease in OHIP scores throughout the study in all groups except the younger age group treated with RDPs after 6 weeks. Between-group comparison revealed significant differences among the treatment groups. The least amount of OHRQoL improvement was recorded for RDPs for both age groups at 6 weeks and for the younger age group at 6 months. There were no significant differences between FDPs and ISFPs. All treatments produced significant improvement in OHRQoL. The least amount of improvement was observed in patients with RDPs. OHRQoL changes in patients treated with FDPs and ISFPs were comparable. The same treatment can have different impacts on the OHRQoL of partially edentulous individuals depending on their age and Kennedy classification.

Life expectancy and age-related diseases burden increased significantly over the past few decades. Age-related conditions are commonly discussed in a very limited paradigm of depleted cellular proliferation and maturation with exponential accumulation of senescent cells. However, most recent evidence showed that the majority of age-associated ailments, i.e., diabetes mellitus, cardiovascular diseases and neurodegeneration. These diseases are closely associated with tissue nonspecific inflammation triggered and controlled by mesenchymal stromal cell secretion. Mesenchymal stromal cells (MSCs) are known as the most common type of cells for therapeutic approaches in clinical practice. Side effects and complications of MSC-based treatments increased interest in the MSCs secretome as an alternative concept for validation tests in regenerative medicine. The most recent data also proposed it as an ideal tool for cell-free regenerative therapy and tissue engineering. However, senescent MSCs secretome was shown to hold the role of ‘key-driver’ in inflammaging. We aimed to review the immunomodulatory effects of the MSCs-secretome during cell senescence and provide eventual insight into the interpretation of its beneficial biological actions in inflammaging-associated diseases.

In this article the importance of blood proteins for drug dosing regimes is discussed. A simple mathematical model is presented for estimating recommended drug doses when the concentration of blood proteins is decreased. Practical guidance for drug dosing regimes is discussed and given in the form of a figure. It is demonstrated that correction of drug dosing regimes is needed only for when there is a high level of drug conjugation with blood proteins and a high degree of hypoalbuminaemia. An example of the use of this model is given.

No data exist on obesity or the accuracy of body mass index (BMI) in Russian Federation firefighters. To determine the prevalence of obesity and rates of misclassification of BMI-based obesity status. Career firefighters in the Moscow region completed anthropometric assessments including height, weight, BMI, body fat per cent (BF%) and waist circumference (WC). Using these three methods, we defined obesity as BMI ≥30, BF% >25 and WC >102, respectively. The study group consisted of 167 male firefighters. Obesity prevalence was 22% for BMI [95% confidence interval (CI) 16.9–28.5], 60% for BF% (95% CI 52.5–67.3) and 28% for WC (95% CI 21.3–34.9). False positive rates for BMI-based obesity status were low, with 3% (95% CI −1.1 to 7.1) and 6% (95% CI 1.6–9.9) of non-obese participants defined by BF% and WC standards misidentified as obese using BMI. However, 65% (95% CI 55.7–77.4) of BF%-defined obese participants and 36% (95% CI 22.5–49.9) of WC-defined obese participants were misclassified as non-obese using BMI (i.e. false negatives). Rates of BMI-based obesity in Russian male firefighters were similar to that of males in the general Russian adult male population. Compared with BF% or WC standards, BMI-based obesity classi- fication produced low rates of false positives but demonstrated high rates of false negatives.