Sulforaphane, a naturally occurring compound found in cruciferous vegetables, has been shown to be neuroprotective in several neurological disorders. In this study, we sought to investigate the potential protective effects and associated molecular mechanisms of sulforaphane in an in vivo Parkinson’s disease (PD) model, based on rotenone-mediated neurotoxicity. Our results showed that sulforaphane inhibited rotenone-induced locomotor activity deficiency and dopaminergic neuronal loss. Additionally, sulforaphane treatment inhibited the rotenone-induced reactive oxygen species production, malondialdehyde (MDA) accumulation, and resulted in an increased level of total glutathione and reduced glutathione (GSH): oxidized glutathione (GSSG) in the brain. Western blot analysis illustrated that sulforaphane increased the expression of nuclear factor (erythroid-derived 2)-like 2 (Nrf2), heme oxygenase-1 (HO-1), and NAD(P)H quinone oxidoreductase (NQO1), the latter two of which are anti-oxidative enzymes. Moreover, sulforaphane treatment significantly attenuated rotenone-inhibited mTOR-mediated p70S6K and 4E-BP1 signalling pathway, as well as neuronal apoptosis. In addition, sulforaphane rescued rotenone-inhibited autophagy, as detected by LC3-II. Collectively, these findings demonstrated that sulforaphane exert neuroprotective effect involving Nrf2-dependent reductions in oxidative stress, mTOR-dependent inhibition of neuronal apoptosis, and the restoration of normal autophagy. Sulforaphane appears to be a promising compound with neuroprotective properties that may play an important role in preventing PD.

Aberrant regulation in mesangial cell proliferation, extracellular matrix (ECM) accumulation, oxidative stress, and inflammation under hyperglycemic condition contributes significantly to the occurrence and development of diabetic nephropathy (DN). However, the mechanisms underlying the hyperglycemia-induced dysregulations have not been clearly elucidated. Here, we reported that high mobility group box 1 (HMGB1) was highly elevated in high glucose (HG)-treated mesangial cells, and induced the phosphorylation, nuclear translocation, and DNA binding activity of NF-κB via toll-like receptor 4 (TLR4). Function assays showed that inhibition of HMGB1 mitigated HG-induced proliferation, oxidative stress, ECM accumulation, and inflammation in mesangial cells via TLR4/NF-κB pathway. Increasing evidence has shown that circRNA, a large class of noncoding RNAs, functions by binding with miRNAs and terminating regulation of their target genes. We further investigated whether HMGB1 is involved in circRNA-miRNA-mRNA regulatory network. First, HMGB1 was identified and confirmed to be the target of miR-205, and miR-205 played a protective role against HG-induced cell injure via targeting HMGB1. Then circLRP6 was found to be upregulated in HG-treated mesangial cells, and regulate HG-induced mesangial cell injure via sponging miR-205. Besides, overexpression of miR-205 or knockdown of circLRP6 inhibited the NF-κB signaling pathway.Collectively, these data suggest that circLRP6 regulates HG-induced proliferation, oxidative stress, ECM accumulation, and inflammation in mesangial cells via sponging miR-205, upregulating HMGB1 and activating TLR4/NF-κB pathway. These findings provide a better understanding for the pathogenesis of DN.

IntroductionEach year there are approximately 390 million dengue infections worldwide. Weather variables have a significant impact on the transmission of Dengue Fever (DF), a mosquito borne viral disease. DF in mainland China is characterized as an imported disease. Hence it is necessary to explore the roles of imported cases, mosquito density and climate variability in dengue transmission in China. The study was to identify the relationship between dengue occurrence and possible risk factors and to develop a predicting model for dengue’s control and prevention purpose.Methodology and Principal FindingsThree traditional suburbs and one district with an international airport in Guangzhou city were selected as the study areas. Autocorrelation and cross-correlation analysis were used to perform univariate analysis to identify possible risk factors, with relevant lagged effects, associated with local dengue cases. Principal component analysis (PCA) was applied to extract principal components and PCA score was used to represent the original variables to reduce multi-collinearity. Combining the univariate analysis and prior knowledge, time-series Poisson regression analysis was conducted to quantify the relationship between weather variables, Breteau Index, imported DF cases and the local dengue transmission in Guangzhou, China. The goodness-of-fit of the constructed model was determined by pseudo-R2, Akaike information criterion (AIC) and residual test. There were a total of 707 notified local DF cases from March 2006 to December 2012, with a seasonal distribution from August to November. There were a total of 65 notified imported DF cases from 20 countries, with forty-six cases (70.8%) imported from Southeast Asia. The model showed that local DF cases were positively associated with mosquito density, imported cases, temperature, precipitation, vapour pressure and minimum relative humidity, whilst being negatively associated with air pressure, with different time lags.ConclusionsImported DF cases and mosquito density play a critical role in local DF transmission, together with weather variables. The establishment of an early warning system, using existing surveillance datasets will help to control and prevent dengue in Guangzhou, China.

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