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The objective of this research was to access the determination of metabolite profiles and antioxidant properties in the leaves of green perilla (Perilla frutescens), where these are considered functional and nutraceutical substances in Korea. A total of 25 compositions were confirmed as six phenolic acids, two triterpenoids, eight flavonoids, seven fatty acids, and two glucosides using an ultra high performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC-ESI-Q-TOF-MS/MS) technique from the methanol extract of this species. The individual and total compositions exhibited significant differences, especially rosmarinic acid (10), and linolenic acids (22 and 23) were detected as the predominant metabolites. Interestingly, rosmarinic acid (10) was observed to have considerable differences with various concentrations in three samples (Doryong, 6.38 μg/g; Sinseong, 317.60 μg/g; Bongmyeong, 903.53 μg/g) by UPLC analysis at 330 nm. The scavenging properties against 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2'-azino-bis(3-ethylbenzthiazoline-6-sulphonic acid) (ABTS) radicals also showed potent effects with remarkable differences at a concentration of 100 μg/mL, and their abilities were as follows: Sinseong (DPPH, 86%; ABTS, 90%) > Bongmyeong (71% and 84%, respectively) > Doryong (63% and 73%, respectively). Our results suggest that the antioxidant activities of green perilla leaves are correlated with metabolite contents, especially the five major compositions 10 and 22-25. Moreover, this study may be useful in evaluating the relationship between metabolite composition and antioxidant activity.

O-linked N-acetylglucosamine (O-GlcNAc) transferase (OGT), which catalyzes the addition of a single β-N-GlcNAc unit to target proteins, has been shown to act as a transcriptional regulator. In the current study, we discovered that OGT exerted inhibitory effects on the LPS-driven activation of NF-κB and inducible nitric oxide synthase (iNOS). In response to LPS, OGT exhibited an increased interaction with the transcriptional corepressor mammalian Sin3A (mSin3A). Furthermore, mSin3A, histone deacetylase (HDAC)1, and HDAC2 displayed increased binding to the iNOS promoter in response to LPS. Treatment with GlcN, in contrast, inhibits LPS-induced inflammation and decreased LPS-mediated recruitment of OGT, mSin3A, and HDACs. LPS treatment also resulted in the hypo-O-GlcNAcylation of mSin3A, which was reversed by GlcN. When the effect of the HDAC inhibitor trichostatin A (TSA) on LPS- and/or GlcN-mediated iNOS protein/mRNA induction was investigated, the results revealed that TSA dose dependently enhanced iNOS expression in response to LPS and/or GlcN. In addition, histone acetyltransferases, p300, and cAMP response element-binding protein-binding protein (CBP) enhanced LPS- and/or GlcN-induced iNOS protein expression. These results collectively suggest that OGT inhibits LPS-driven NF-κB activation and subsequent iNOS transcription by modulating histone acetylation either directly or indirectly.

Microglia contributes significantly to brain tumor mass, particularly in astrocytic gliomas. Here, we examine the cytotoxic effects of soluble components secreted from microglia culture on glioma cells. Microglia conditioned culture medium (MCM) actively stimulated apoptotic death of glioma cells, and the effects of MCM prepared from LPS- or IFN-gamma-activated microglia were more pronounced. The cytotoxic effects were glioma-specific in that primary cultured rat astrocytes were not affected by MCM. A donor of peroxynitrite induced glioma-specific cell death. In addition, NO synthase inhibitor suppressed glioma cell death induced by activated MCM, indicating that NO is one of the key molecules responsible for glioma cytotoxicity mediated by activated MCM. However, since unstimulated resting microglia produces low or very limited level of NO, MCM may contain other critical molecule(s) that induce glioma apoptosis. To identify the proteins secreted in MCM, proteomic analysis was performed on control or activated medium. Among over 200 protein spots detected by Coomassie blue staining, we identified 26 constitutive and 28 LPS- or IFN-gamma-regulated MCM proteins. Several cathepsin proteases were markedly expressed, which were reduced upon activation. In particular, suppression of cathepsin B by the chemical inhibitors significantly reversed MCM-induced glioma cell death, implying a critical role of this protease in cytotoxicity. Our findings provide evidence on the functional implications of specific microglial-secreted proteins in glioma cytotoxicity, as well as a basis to develop a proteomic databank of both basal and activation-related proteins in microglia.

Although diurnal temperature range (DTR) is a key index of climate change, few studies have reported the health burden of DTR and its temporal changes at a multi-country scale. Therefore, we assessed the attributable risk fraction of DTR on mortality and its temporal variations in a multi-country data set. We collected time-series data covering mortality and weather variables from 308 cities in 10 countries from 1972 to 2013. The temporal change in DTR-related mortality was estimated for each city with a time-varying distributed lag model. Estimates for each city were pooled using a multivariate meta-analysis. The results showed that the attributable fraction of total mortality to DTR was 2.5% (95% eCI: 2.3-2.7%) over the entire study period. In all countries, the attributable fraction increased from 2.4% (2.1-2.7%) to 2.7% (2.4-2.9%) between the first and last study years. This study found that DTR has significantly contributed to mortality in all the countries studied, and this attributable fraction has significantly increased over time in the USA, the UK, Spain, and South Korea. Therefore, because the health burden of DTR is not likely to reduce in the near future, countermeasures are needed to alleviate its impact on human health.

BACKGROUND AND PURPOSEPreviously, we demonstrated that glucosamine (GlcN) exerts a suppressive effect on LPS-induced inducible NOS (iNOS) through the inhibition of NF-κB activation in BV2 mouse microglial cells. The purpose of the present study was to examine the mechanisms by which GlcN inhibits NF-κB activation. EXPERIMENTAL APPROACHBV2 cells were stimulated with LPS with or without GlcN. NF-κB/c-Rel activities were studied by EMSA, nuclear translocation, reporter assay or chromatin immunoprecipitation. Wheat germ agglutinin precipitation or galactosyltransferase assay were used to measure O-linked N-acetylglucosamine (O-GlcNAc) modification (O-GlcNAcylation) of c-Rel. Protein-protein interactions were examined by co-immunoprecipitation. KEY RESULTSLPS stimulated the activation of c-Rel, increased the O-GlcNAcylation of c-Rel and enhanced the binding of c-Rel to the NF-κB site in the iNOS promoter; GlcN attenuated these effects of LPS. O-GlcNAcylation of both nuclear and cytosolic forms of c-Rel was increased by LPS and reduced by GlcN. LPS increased the interaction of c-Rel with O-GlcNAc transferase (OGT) and p50/p105, and GlcN suppressed these interactions. Knockdown of OGT reduced the c-Rel O-GlcNAcylation and c-Rel-p50 interaction in response to LPS, but did not affect either the binding of c-Rel to the iNOS promoter or the transcriptional activity of c-Rel. CONCLUSIONS AND IMPLICATIONSIn BV2 microglial cells, the anti-inflammatory effect of GlcN is mediated by prevention of the prolonged activation of transcription factors, c-Rel and NF-κB. Further clarification of the mechanism by which GlcN exerts this effect will facilitate the development of pharmacological strategies for preventing excessive NO formation when targeting inflammatory diseases of the periphery or CNS.

Agricultural water supply (AWS) estimation is one of the first and fundamental steps of developing agricultural management plans, and its accuracy must have substantial impacts on the following decision-making processes. In modeling the AWS for paddy fields, it is still common to determine parameter values, such as infiltration rates and irrigation efficiency, solely based on literature and rough assumptions due to data limitations; however, the impact of parameter uncertainty on the estimation has not been fully discussed. In this context, a relative sensitivity index and the generalized likelihood uncertainty estimation (GLUE) method were applied to quantify the parameter sensitivity and uncertainty in an AWS simulation. A general continuity equation was employed to mathematically represent the paddy water balance, and its six parameters were investigated. The results show that the AWS estimates are sensitive to the irrigation efficiency, drainage outlet height, minimum ponding depth, and infiltration, with the irrigation efficiency appearing to be the most important parameter; thus, they should be carefully selected. Multiple combinations of parameter values were observed to provide similarly good predictions, and such equifinality produced the substantial amount of uncertainty in AWS estimates regardless of the modeling approaches, indicating that the uncertainty should be counted when developing water management plans. We also found that agricultural system simulations using only literature-based parameter values provided poor accuracy, which can lead to flawed decisions in the water resources planning processes, and then the inefficient use of public investment and resources. The results indicate that modelers’ careful parameter selection is required to improve the accuracy of modeling results and estimates from using not only information from the past studies but also modeling practices enhanced with local knowledge and experience.

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