BackgroundThe identification of biomarkers of post-traumatic osteoarthritis (PTOA) progression is of clinical importance. The aims of this study were: (1) to assess the abilities of various soluble proinflammatory mediators in plasma to distinguish patients with knee PTOA from controls; (2) to determine the correlations between the mediators in plasma and those mediators in synovial fluid (SF); and (3) to explore the associations of the mediators with radiographic PTOA severity.Materials and methodsThe concentrations of IL-1β, IL-6, IL-18, TNFα, and leptin were measured using ELISA. Nitric oxide was determined as nitrite/nitrate (NOx) using the Griess reaction.ResultsWe included 171 subjects (134 PTOA patients and 37 controls) and excluded patients with rheumatoid arthritis or gout. The ROC curve of plasma NOx had the highest AUC, a specificity of 100%, and a sensitivity of 84.4%. The combination of IL-6 and leptin proved to be the most discriminatory, with an AUC value of 0.933, a specificity of 96.7%, and a sensitivity of 85.7%. The levels of NOx, IL-6, IL-18, and leptin in plasma were significantly correlated with their levels in SF. Leptin levels in both plasma (p = 0.036) and SF (p = 0.041) and the synovial IL-18 level (p = 0.045) were correlated with the Kellgren–Lawrence (KL) grade. Early-stage PTOA (KL 1–2) was associated with a high concentration of IL-1β in plasma before and after (OR 6.235, 95% CI 1.362 to 28.552, p = 0.018) adjusting for age, gender, and BMI.ConclusionsCirculating NOx level and a combination of IL-6 and leptin permitted the strongest discrimination of patients with PTOA from controls. PTOA severity was correlated with leptin levels in plasma and SF and with the synovial IL-18 level. Early PTOA was associated with the circulating level of IL-1β.Level of evidenceIII (case–control study).

Abstract. Optimal control can help to determine vaccination policies for infectious diseases. For diseases transmitted horizontally, SEIR compartment models have been used. Most of the literature on SEIR models deals with cost functions that are quadratic with respect to the control variable, the rate of vaccination. Here, we propose the introduction of a cost of L 1 type which is linear with respect to the control variable. Our starting point is the recent work [1], where the number of vaccines at each time is assumed to be limited. This yields an optimal control problem with a mixed control-state constraint. We discuss the necessary optimality conditions of the Maximum Principle and present numerical solutions that precisely satisfy the necessary conditions.

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Genetic studies noted that the Hungarian Y-chromosomal gene pool significantly differs from other Uralic-speaking populations. Hungarians show very limited or no presence of haplogroup N-Tat, which is frequent among other Uralic-speaking populations. We proposed that some genetic links need to be observed between the linguistically related Hungarian and Mansi populations.This is the first attempt to divide haplogroup N-Tat into subhaplogroups by testing new downstream SNP markers L708 and L1034. Sixty Northern Mansi samples were collected in Western Siberia and genotyped for Y-chromosomal haplotypes and haplogroups. We found 14 Mansi and 92 N-Tat samples from 7 populations. Comparative results showed that all N-Tat samples carried the N-L708 mutation. Some Hungarian, Sekler, and Uzbek samples were L1034 SNP positive, while all Mongolians, Buryats, Khanty, Finnish, and Roma samples yielded a negative result for this marker. Based on the above, L1034 marker seems to be a subgroup of N-Tat, which is typical for Mansi and Hungarian-speaking ethnic groups so far. Based on our time to most recent common ancestor data, the L1034 marker arose 2,500 years before present. The overall frequency of the L1034 is very low among the analyzed populations, thus it does not necessarily mean that proto-Hungarians and Mansi descend from common ancestors. It does provide, however, a limited genetic link supporting language contact. Both Hungarians and Mansi have much more complex genetic population history than the traditional tree-based linguistic model would suggest.

The administration of SkQ1 to rats at the dose of 50 nmol/kg for five days significantly increased the mRNA levels of transcription factor Nrf2 and of Nrf2-controlled genes encoding antioxidant enzymes SOD1, SOD2, CAT, and GPx4, whereas changes in the level of mRNA of SOD3 in the cerebral cortex of the rat brain were not significant. This was accompanied by activation of antioxidant enzymes (SOD, CAT, GPx, and GST) and increase in reduced glutathione concentration. Under oxidative stress induced by hyperoxia (0.5 MPa for 90 min), the mRNA level of transcription factor Nrf2 decreased, whereas changes in the transcriptional activity of Nrf2-induced genes (SOD1-3, CAT, GPx4) encoding antioxidant enzymes in the cortex of the rat brain hemispheres were insignificant. Under conditions of hyperoxia, lipid peroxidation intensity was increased, CAT was inhibited, and GST activity was moderately increased, whereas SOD and GPx activities in the rat brain cerebral cortex remained at the stationary level. Pretreatment with SkQ1 before the exposure to hyperbaric oxygenation led to an increase in mRNA level of transcription factor Nrf2 and of Nrf2-induced genes (SOD1-2, CAT, and GPx4) encoding antioxidant enzymes, whereas SOD3 expression in the cerebral cortex of the rat brain under oxidative stress was not changed. Concurrently, we observed an increase in activities of these antioxidant enzymes (SOD, CAT, GPx, and GST) and in level of reduced glutathione. We hypothesize that the protective effect of SkQ1 under hyperoxia-induced oxidative stress could be realized via direct antioxidant activity and through stimulation of the signaling defense system Keap1/Nrf2/ARE.