This study focused on identifying the rotenoids from the Tephrosia vogelli plant (fish-poison-bean), investigating the toxic potency of a crude T. vogelii extract and individual rotenoids (tephrosin, deguelin and rotenone) in vitro and in vivo and assessing the mode of action. A trout (Onychorynhis mykiss) gill epithelial cell line (RTgill-W1) was used to determine the cytotoxicity of rotenoids and effects on cell metabolism. Zebrafish (Danio rerio) aged from 3 h post fertilization (hpf) to 72 hpf were used for testing the developmental toxicity. The crude T. vogelii plant extract significantly decreased the cellular metabolic activity and was cytotoxic at lower concentrations (5 and 10 nM, respectively), while tephrosin, deguelin and rotenone showed these effects at concentrations ≥ 50 nM. The crude T. Vogelli extract had the highest toxic potency and induced adverse health effects in zebrafish including deformities and mortality at the lowest concentration (5 nM) compared to rotenone (10 nM) and deguelin and tephrosin (50 nM). These results indicate that the crude T. Vogelii extracts are highly potent and the bioactivity of these extracts warrant further investigation for their potential use to treat parasites in human and veterinary medicine and as a natural alternative to pesticides.Network models of disease spread play an important role in elucidating the impact of long-lasting infectious contacts on the dynamics of epidemics. Moment-closure approximation is a common method of generating low-dimensional deterministic models of epidemics on networks, which has found particular success for diseases with susceptible-infected-recovered (SIR) dynamics. However, the effect of network structure is arguably more important for sexually transmitted infections, where epidemiologically relevant contacts are comparatively rare and longstanding, and which are in general modelled via the susceptible-infected-susceptible (SIS)-paradigm. In this paper, we introduce an improvement to the standard pairwise approximation for network models with SIS-dynamics for two different network structures the isolated open triple (three connected individuals in a line) and the k-regular network. This improvement is achieved by tracking the rate of change of errors between triple values and their standard pairwise approximation. For the isolated open triple, this improved pairwise model is exact, while for k-regular networks a closure is made at the level of triples to obtain a closed set of equations. This improved pairwise approximation provides an insight into the errors introduced by the standard pairwise approximation, and more closely matches both higher-order moment-closure approximations and explicit stochastic simulations with only a modest increase in dimensionality to the standard pairwise approximation.Little is known about how health-related behaviours cluster across different populations and how lifestyle clusters are associated with type 2 diabetes (T2D) risk. We investigated lifestyle clusters and their association with T2D in a multi-ethnic population. 4396 Dutch, 2850 South-Asian Surinamese, 3814 African Surinamese, 2034 Ghanaian, 3328 Turkish, and 3661 Moroccan origin participants of the HELIUS study were included (2011-2015). K-medoids cluster analyses were used to identify lifestyle clusters. Logistic and cox regression analyses were performed to investigate the association of clusters with prevalent and incident T2D, respectively. Pooled analysis revealed three clusters a 'healthy', 'somewhat healthy', and 'unhealthy' cluster. Most ethnic groups were unequally distributed Dutch participants were mostly present in the 'healthy' cluster, Turkish and Moroccan participants in the 'somewhat healthy' cluster, while the Surinamese and Ghanaian participants were equally distributed across clusters. When stratified for ethnicity, analysis revealed three clusters per ethnic group. While the 'healthy' and 'somewhat healthy' clusters were similar to those of the pooled analysis, we observed considerable differences in the ethnic-specific 'unhealthy' clusters. Fruit consumption (3-4 days/week) was the only behaviour that was consistent across all ethnic-specific 'unhealthy' clusters. The pooled 'unhealthy' cluster was positively associated with prediabetes (OR 1.34, 95%CI 1.21-1.48) and incident T2D (OR 1.23, 95%CI 0.89-1.69), and negatively associated with prevalent T2D (OR 0.80, 95%CI 0.69-0.93). Results were similar for most, but not all, ethnic-specific clusters. This illustrates that targeting multiple behaviours is relevant in prevention of T2D but that ethnic differences in lifestyle clusters should be taken into account.Microglial in vivo production of pro-inflammatory cytokines is central to the pathogenesis of multiple neurological disorders including depression, with a rising role of Wnt/β-catenin signaling as potential regulator of microglia-mediated neuro-inflammation. This study aimed at investigating the hippocampal expression of the Wnt/ß-catenin pathway in chronic mild stress (CMS)-exposed rats and the effects of Lithium (Li) on the expression of this pathway as a method to identify a plausible link between exposure to chronic stress, microglial activation, and neuroinflammation. METHODS The effect of chronic administration of Li was investigated on behavioral changes, hippocampal expression of Wnt-DVL-GSK3β-β-catenin signaling pathway, and microglial activation in CMS-exposed male Wistar rats RESULTS CMS induced a depressive-like behavior associated with increased pro-inflammatory microglial activation and reduced hippocampal expression of the Wnt/β-catenin signaling pathway. Chronic Li treatment ameliorated stress induced-behavioral changes, reduced microglial activation and enhanced the hippocampal expression of Wnt/β-catenin signaling pathway. CONCLUSION This work highlights that Li-induced inhibition of GSK-3β with subsequent accumulation of β-catenin could impede pro-inflammatory microglia activation which is a key pathological hallmark associated with depression.  https://www.selleckchem.com/products/azd3229.html  Wnt/β-catenin signaling represents a promising therapeutic target, not only for alleviation of depression, but also for a wide array of neurological disorders.