Keap1 as Target of Genistein on Nrf2 Signaling Pathway Antagonizing Aß induced Oxidative Damage of Cerebrovascular Endothelial Cells.

BACKGROUND: ß-amyloid peptides (Aß) induced oxidative damage contributes to the pathogenesis of neurodegenerative diseases, and the cerebrovascular system is more vulnerable to oxidative stress. Our earlier study showed a clue that Genistein (Gen) might activate the Nf-E2 related factor 2 (Nrf2) pathway to protect cerebrovascular cells from oxidative damage induced by Aß, but the specific mechanisms and regulation targets are unclear. OBJECTIVE: In this study, the anti-oxidative effects and the possible targets of Gen on regulating the Nrf2 pathway in bEnd.3 cells were investigated. Cells were divided into control, Aß25-35, Gen, and Gen+Aß25-35 groups. METHODS: Cell viability, levels of malondialdehyde (MDA), Superoxide Dismutase (SOD) activity, and nitrotyrosine were evaluated. Moreover, mRNA and/or protein expressions of Nrf2 and kelchlike ECH-associated protein 1 (Keap1) were measured. Then we transfected Keap1 over-expressed plasmid into bEnd.3 cells and measured the protein expressions of Nrf2 pathway related factors. RESULTS: Data showed that Gen could inhibit the over-production of MDA and nitrotyrosine and activate SOD activity. Furthermore, we discovered that Gen could up-regulate Nrf2 mRNA and protein expression while down-regulating Keap1 protein expression. The Keap1 over-expressed plasmid study revealed that the up-regulation of Nrf2 protein expression induced by Gen pretreatment could be blocked by transfection of Keap1 over-expressed plasmid, and the same results were observed in Nrf2 downstream factors. CONCLUSION: Gen could alleviate the cerebrovascular cells' oxidative damage induced by Aß25-35 by regulating the Nrf2 pathway, and Keap1 might be one of the targets of Gen in activating the Nrf2 pathway.

Angiotensin II Regulates Th1 T Cell Differentiation Through Angiotensin II Type 1 Receptor-PKA-Mediated Activation of Proteasome.

BACKGROUND/AIMS: Naive CD4+ T cells differentiate into T helper cells (Th1 and Th2) that play an essential role in the cardiovascular diseases. However, the molecular mechanism by which angiotensin II (Ang II) promotes Th1 differentiation remains unclear. The aim of this study was to determine whether the Ang II-induced Th1 differentiation regulated by ubiquitin-proteasome system (UPS). METHODS: Jurkat cells were treated with Ang II (100 nM) in the presence or absence of different inhibitors. The gene mRNA levels were detected by real-time quantitative PCR analysis. The protein levels were measured by ELISA assay or Western blot analysis, respectively. RESULTS: Ang II treatment significantly induced a shift from Th0 to Th1 cell differentiation, which was markedly blocked by angiotensin II type 1 receptor (AT1R) inhibitor Losartan (LST). Moreover, Ang II significantly increased the activities and the expression of proteasome catalytic subunits (ß1, ß1i, ß2i and ß5i) in a dose- and time-dependent manner. However, Ang II-induced proteasome activities were remarkably abrogated by LST and PKA inhibitor H-89. Mechanistically, Ang II-induced Th1 differentiation was at least in part through proteasome-mediated degradation of IκBα and MKP-1 and activation of STAT1 and NF-κB. CONCLUSIONS: This study for the first time demonstrates that Ang II activates AT1R-PKA-proteasome pathway, which promotes degradation of IκBα and MKP-1 and activation of STAT1 and NF-κB thereby leading to Th1 differentiation. Thus, inhibition of proteasome activation might be a potential therapeutic target for Th1-mediated diseases.

[Establishment of a complete daily time series of precipitation and its change characteristics in forest region of eastern China during 1961-2010].

To accurately interpolate the missing precipitation data from meteorological observation stations within a region to obtain a complete precipitation series is of significance in improving the spatial and temporal resolution in analyzing the effects of climate change. By using spatial correlation and stepwise regression techniques, this paper interpolated the missing precipitation data for an individual day or less than 7 days in a month from the 853 meteorological stations in the forest region of Eastern China in 1961-2010, as a consequent establishment of the complete time series precipitation datasets of the observation stations in 1961-2010 established. Based on these, trend analysis approach was applied to analyze the variation characteristics of the annual precipitation, annual precipitation days, and extreme precipitation events in the region in 1961-2010. During the study period, the annual precipitation in the region presented an insignificant increasing trend, with a tendency of 5.58 mm (10 a) -1, but the decadal variation was obvious. The annual precipitation days reduced significantly, while the annual extreme precipitation days and extreme precipitation volumes increased significantly, with a tendency of 0.12 d (10 a) -1 and 10. 22 mm (10 a)-1, respectively. Since the 1990s, the extreme precipitation events became frequently and intensively, and the proportion of the volumes of extreme precipitation to total precipitation increased significantly. Both the extreme precipitation days and the volumes of extreme precipitation had an abrupt change in 1993.