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Lagotis brachystachya Maxim is an herb widely used in traditional Tibet medicine. Our previous study indicated that total extracts from Lagotis brachystachya could lower uric acid levels. This study aimed to further elucidate the active components (luteolin, luteoloside and apigenin) isolated from Lagotis brachystachya and the underlying mechanism in vitro and vivo. The results showed that treatment with luteolin and luteoloside reversed the reduction of organic anion transporter 1 (OAT1) levels, while apigenin attenuated the elevation of urate transporter 1 (URAT1) and glucose transporter 9 (GLUT9) levels in uric acid-treated HK-2 cells, which were consistent with the finding in the kidney of potassium oxonate (PO)-induced mice. On the other hand, hepatic xanthine oxidase activity was inhibited by the components. In addition, all of these active components improved the morphology of the kidney in hyperuricemic mice. Moreover, molecular docking showed that luteolin, luteoloside and apigenin could bind TLR4 and NLRP3. Consistently, western blot showed that the components inhibited TLR4/MyD88/NLRP3 signaling. In conclusion, these results indicated that luteolin, luteoloside and apigenin could attenuate hyperuricemia by decreasing the production and increasing the excretion of uric acid, which were mediated by the inhibition of inflammatory signaling pathways.

Idiopathic hypogonadotropic hypogonadism (IHH) patients are characterized by the absence of puberty and varying degrees of deteriorated metabolic conditions. Osteocalcin (OC) could regulate testosterone secretion and energy metabolism, but it remains unknown whether such an effect exists in IHH patients. Our study is aimed to examine the relationship between serum OC levels with testosterone and its responsiveness to gonadotropin stimulation and metabolic profiles in male IHH patients. A total of 99 male patients aged 18–37 years and diagnosed with IHH were enrolled in the current study, and the relationships between OC and testicular volume, baseline total testosterone (TT), free testosterone (FT), and peak TT (Tmax) levels after human chorionic gonadotropin (hCG) stimulation, gonadotropin responsiveness index (GRI), which is calculated by dividing Tmax by testicular volume, as well as metabolic profiles, such as 2-h post-challenge glucose (2hPG) and fat percentage (fat%), were analyzed. The results showed that OC had an independent negative relationship with testicular volume (r = −0.253, P = 0.012) and a positive association with Tmax (r = 0.262, P = 0.014) after adjusting for confounders. In addition, OC was a major determinant of GRI (adjusted R2 for the model = 0.164, P = 0.012), fat% (adjusted R2 for the model = 0.100, P = 0.004), and 2hPG (adjusted R2 for the model = 0.054, P = 0.013) in IHH patients. In conclusion, OC is associated with testosterone secretion upon gonadotropin stimulation, glucose metabolism, and fat mass variations in IHH. This study was registered at clinicaltrials.gov ({"type":"clinical-trial","attrs":{"text":"NCT02310074","term_id":"NCT02310074"}}NCT02310074).

Perillaldehyde is one of the main components in perilla. Previous studies have shown that perillaldehyde exerted an antidepressant effect in mice, some of which is mediated through regulation of the anti-inflammatory system and the monoamine system. The primary objective of this study was to investigate the possible effects of perillaldehyde on the neurotrophic system and to elucidate whether its antidepressant effect requires brain-derived neurotrophic factor (BDNF) signaling. Mice were exposed to chronic unpredictable mild stress (CUMS) and orally administrated with perillaldehyde for 4 weeks for behavioral testing. Perillaldehyde not only reversed the decrease in sucrose preference but also attenuated the increase in feeding latency. In addition, perillaldehyde can attenuate the reduction of CUMS-induced hippocampal BDNF levels. Our further study found that the BDNF receptor tropomyosin receptor kinase B (TrkB) antagonist K252a completely blocked the antidepressant effect of perillaldehyde in mice. Biochemical analysis showed that K252a pretreatment completely prevented the improvement of BDNF, extracellular signal-regulated kinase (ERK) phosphorylation and synaptic protein. These results indicated that activation of BDNF-ERK signaling in the hippocampus was required, at least in part for the antidepressant effects of perillaldehyde.

Left-sided colon carcinoma (LSCC) and right-sided colon carcinoma (RSCC) differ in their genetic susceptibilities to neoplastic transformation. The present study identified 11 genes that were differentially expressed in LSCC and RSCC by expression profiling with microarray analysis. Compared with RSCC, the human genes for L-lactate dehydrogenase B chain (LDHB), cyclin-dependent kinase 4 inhibitor D (CDKN2D), phosphatidylinositol-4-phosphate-3-kinase C2 domain-containing subunit α (PI3KC2α), protocadherin fat 1 (FAT; a human protein that closely resembles the Drosophila tumor suppressor, fat) and dual specificity protein phosphatase 2 (DUSP2) were upregulated in LSCC. By contrast, genes for ubiquitin D (UBD), casein kinase-1 binding protein (CK1BP), synaptotagmin-13 (SYT1), zinc finger protein 560 (ZNF560), pleckstrin homology domain-containing family B member 2 (PLEKHB2) and IgGFc-binding protein (FCGBP) were downregulated in LSCC compared with RSCC. A quantitative polymerase chain reaction (qPCR) analysis revealed that the mRNA levels of UBD and CK1BP in LSCC were significantly lower compared with those in RSCC (P=0.033 and P= 0.005, respectively), whereas the mRNA levels of LDHB and CDKN2D in LSCC were significantly higher compared with those in RSCC (P=0.008 and P=0.017, respectively). Western blot and immunohistochemical analyses demonstrated that the expression of CDKN2D in LSCC was significantly higher compared with that in RSCC, while the expression of UBD in LSCC was significantly lower compared with that in RSCC. The present study provides important insights into the understanding of the molecular genetic basis for the different biological behaviors observed between LSCC and RSCC. These insights may therefore serve as a basis for the identification of novel colon cancer markers and therapeutic targets.

Variations of 12 morphological characters and 78 isozymic bands among 78 isolates of five Fusarium spp. from Dongtan wetland were described and analysed with cladistic parsimony and phenetic UPGMA methods. Hierarchical cluster analysis of 12 morphological characters grouped 78 strains into five defined species with a high overlap between isolates. Hierarchical cluster analysis of isozyme patterns showed a higher degree of relationship among five Fusarium spp., in which Fusarium nivale, Fusarium semitectum and Fusarium oxysporum clustered as one group, and F. semitectum was closer to F. nivale than to F. oxysporum; Fusarium graminearum and Fusarium moniliforme formed one group and showed clearly distinct from the first group. Groups of individual isolates indicated by a plot of principal component analysis were consistent with these findings. The comparison of two different data sets revealed that isozyme patterns showed higher variations between species and among individual isolates than morphological characters. Parsimony analysis of morphological characters yielded unresolved cladograms. Parsimony analysis of isozymes as presence/absence characters revealed the same five species in general as the results indicated by phenetic analysis, differing in the relative position of species in subclusters.

A rapid spectroscopic approach for whole-organism fingerprinting of Fourier transform infrared (FT-IR) spectroscopy was used to analyse 16 isolates from five closely related species of Fusarium: F. graminearum, F. moniliforme, F. nivale, F. semitectum and F. oxysporum. Principal components analysis and hierarchical cluster analysis were used to study the clusters in the data. On visual inspection of the clusters from both methods, the spectra were not differentiated into five separate clusters corresponding to species and these unsupervised methods failed to identify these fungal strains. When the data were trained by back propagation algorithm of artificial neural networks (ANNs) with principal components scores of spectra used as input modes, the strains were accurately predicted and recognized. The results in this study show that FT-IR spectroscopy in combination with principal component artificial neural networks (PC-ANNs) is well suited for identifying Fusarium spp. It would be advantageous to establish a comprehensive database of taxonomically well-defined Fusarium species to aid the identification of unknown strains.

To define the function of the GDD motif of the RNA-dependent RNA polymerase (RdRp) of classical swine fever virus (CSFV), single amino acid substitutions were introduced into the CSFV NS5B. All substitutions within the GDD motif were detrimental to the polymerase activity, the binding activity and the terminal nucleotidyl transferase activity of the NS5B protein. It was also found that the wild-type NS5B had higher RdRp activity with Mg(+2) than with Mn(+2) whereas some mutants worked better with Mn(+2) than with Mg(+2), suggesting that substitutions within the GDD motif modified the enzyme cation preferences and the GDD sequence of CSFV NS5B might be involved in polymerase-metal interaction. Therefore, the GDD amino acid sequence is important for the function of CSFV RdRp.

Fourier Transform Infrared (FT-IR) spectroscopy, in combination with chemometrics, was investigated as a simple method to differentiateFusarium spp. Strains were grown on solid culture plates for sporulation. Spectral data of spores ofFusarium spp. were recorded within the range from 4000 to 400 cm−1. Hierarchical cluster analysis (HCA) and principal components analysis (PCA) were used to study the clusters in the data of spectral regions of 3000–2800 and 1800–1480 cm−1. The virtual rate of correct differentiation (100%) was achieved for both the HCA and PCA. FT-IR technique shows high potential as a novel, accurate and easy-to-use differentiation method eagerly sought for the routine differentiation ofFusarium isolates from a wide range of environmental sources.

To investigate the effect of shRNA-SR-PSOX (Scavenger receptor binds phosphatidylserine and oxidized lipoprotein) on smooth muscle cells(SMC) migration, we designed and synthesised the shRNA oligonucleotide targeted human SR-PSOX gene, and constructed the shRNA lentiviral expression system in vitro to infect HepG2 cell line, and the silencing efficiency was assayed by real-time reverse transcription-polymerase chain reaction, immunofluorescence staining, Western blotting and Transwell chambers. The reverse transcription-polymerase chain reaction (RT-PCR) results showed that the potent inhibition of SR-PSOX expression could reach 80%, and it was specific to the SR-PSOX -derived shRNA, not the Caveolin-1-derived shRNA (negative shRNA control). Indirect immunofluorescence and Western blot results showed the SR-PSOX expression decreased obviously in SR-PSOX-shRNA transfected group compared with control group. In addition, transwell chambers results indicated that these SR-PSOX over-expressing cells showed ~3 fold increased migration of SMCs compared with normal SMC cells or siRNA cells. Red oil staining found that SR-PSOX over expressed SMCs had more lipid droplets, while lipid droplets in siRNA-SR-PSOX vector groups decreased significantly. All these data indicated that blockage and downregulation SR-PSOX expression is a potential therapeutic target to prevent inflammatory AS damage. Key wordsScavenger receptor binds phosphatidylserine and oxidized lipoprotein (SR-PSOX); short hairpin RNA(shRNA); lentiviral expression system; atherosclerosis

The structural characteristics of Fusarium have received attention from both pure and applied scientists. Because many genes and physiological mechanisms are involved in the development of a particular structure type, this research is complicated. For revealing the structure of macromolecule in these fungal cells, FT-IR spectroscopy combined with multivariate statistical analysis was performed to characterize the structure of protein and polysaccharide of spores and mycelia obtained from different culture medium. The second derivative FT-IR spectra exhibited strain-specific infrared characteristics in the protein secondary structure sensitive amide I region. The region between 750 and 950 cm(-1) assigned to alpha- and beta-glucans was investigated for studied samples. Principal components analysis (PCA) allowed us to separate mycelia into two clusters according to different growth medium, indicating that spectra of strains may have been greatly affected by cultivation conditions.

Background Glioblastoma multiforme (GBM), the most common form of brain cancer with an average survival of less than 12 months, is a highly aggressive and fatal disease characterized by survival of glioma cells following initial treatment, invasion through the brain parenchyma and destruction of normal brain tissues, and ultimately resistance to current treatments. Temozolomide (TMZ) is commonly used chemotherapy for treatment of primary and recurrent high-grade gliomas. Nevertheless, the therapeutic outcome of TMZ is often unsatisfactory. In this study, we sought to determine whether eEF-2 kinase affected the sensitivity of glioma cells to treatment with TMZ. Methodology/Principal Findings Using RNA interference approach, a small molecule inhibitor of eEF-2 kinase, and in vitro and in vivo glioma models, we observed that inhibition of eEF-2 kinase could enhance sensitivity of glioma cells to TMZ, and that this sensitizing effect was associated with blockade of autophagy and augmentation of apoptosis caused by TMZ. Conclusions/Significance These findings demonstrated that targeting eEF-2 kinase can enhance the anti-glioma activity of TMZ, and inhibitors of this kinase may be exploited as chemo-sensitizers for TMZ in treatment of malignant glioma.

Background Resveratrol (RES), an estrogen analog, is considered as a potential cancer chemo-preventive agent. However, it remains unclear how RES is transported into cells. In this study, we observed that Caveolin-1(CAV1) expression can increase the cytotoxic and pro-apoptotic activity of RES in a dose- and time-dependent manner both in vitro and in vivo in a Hepatocellular Carcinoma animal model. Methods High performance liquid chromatography (HPLC) demonstrated that RES intra-cellular concentration is increased about 2-fold in cells stably expressing CAV1 or CAVM1 (a scaffolding domain (81-101AA)-defective CAV1 mutant) compared to the untransduced human Hepatoblastoma cell line (HepG2) or after transduction with the green fluorescent protein (GFP) control vector. The increased intra-cellular transport of RES was abolished in cells stably expressing CAVM2 (a cholesterol shuttle domain (143-156AA)-defective CAV1 mutant) or CAVRNAi. In order to further characterize CAV1-dependent RES transport, we synthesized RES-dansyl chloride derivatives as fluorescent probes to visualize the transport process, which demonstrated a distribution consistent with that of CAV1 in HepG2 cells. Results In addition, RES endocytosis was not mediated by estrogen receptor (ER) α and β, as suggested by lack of competitive inhibition by estrogen or Tamoxifen. Pathway analysis showed that RES can up-regulate the expression of endogenous CAV1; this activates further the MAPK pathway and caspase-3 expression. Discussion This study provides novel insights about the role played by CAV1 in modulating cellular sensitivity to RES through enhancement of its internalization and trafficking.

Correct phenotypic interpretation of variants of unknown significance for cancer-associated genes is a diagnostic challenge as genetic screenings gain in popularity in the next-generation sequencing era. The Critical Assessment of Genome Interpretation (CAGI) experiment aims to test and define the state of the art of genotype-phenotype interpretation. Here, we present the assessment of the CAGI p16INK4a challenge. Participants were asked to predict the effect on cellular proliferation of ten variants for the p16INK4a tumor suppressor, a cyclin-dependent kinase inhibitor encoded by the CDKN2A gene. Twenty-two pathogenicity predictors were assessed with a variety of accuracy measures for reliability in a medical context. Different assessment measures were combined in an overall ranking to provide more robust results. The R scripts used for assessment are publicly available from a GitHub repository for future use in similar assessment exercises. Despite a limited test-set size, our findings show a variety of results, with some methods performing significantly better. Methods combining different strategies frequently outperform simpler approaches. The best predictor, Yang&Zhou lab, uses a machine learning method combining an empirical energy function measuring protein stability with an evolutionary conservation term. The p16INK4a challenge highlights how subtle structural effects can neutralize otherwise deleterious variants. This article is protected by copyright. All rights reserved.