Crystal structures of Nipah and Hendra virus fusion core proteins

The Nipah and Hendra viruses are highly pathogenic paramyxoviruses that recently emerged from flying foxes to cause serious disease outbreaks in humans and livestock in Australia, Malaysia, Singapore and Bangladesh. Their unique genetic constitution, high virulence and wide host range set them apart from other paramyxoviruses. These characteristics have led to their classification into the new genus Henpavirus within the family Paramyxoviridae and to their designation as Biosafety Level 4 pathogens. The fusion protein, an enveloped glycoprotein essential for viral entry, belongs to the family of class I fusion proteins and is characterized by the presence of two heptad repeat (HR) regions, HR1 and HR2. These two regions associate to form a fusion-active hairpin conformation that juxtaposes the viral and cellular membranes to facilitate membrane fusion and enable subsequent viral entry. The Hendra and Nipah virus fusion core proteins were crystallized and their structures determined to 2.2 A resolution. The Nipah and Hendra fusion core structures are six-helix bundles with three HR2 helices packed against the hydrophobic grooves on the surface of a central coiled coil formed by three parallel HR1 helices in an oblique antiparallel manner. Because of the high level of conservation in core regions, it is proposed that the Nipah and Hendra virus fusion cores can provide a model for membrane fusion in all paramyxoviruses. The relatively deep grooves on the surface of the central coiled coil represent a good target site for drug discovery strategies aimed at inhibiting viral entry by blocking hairpin formation.     

Whole-Brain Functional Connectivity Identification of Functional Dyspepsia

Recent neuroimaging studies have shown local brain aberrations in functional dyspepsia (FD) patients, yet little attention has been paid to the whole-brain resting-state functional network abnormalities. The purpose of this study was to investigate whether FD disrupts the patterns of whole-brain networks and the abnormal functional connectivity could reflect the severity of the disease. The dysfunctional interactions between brain regions at rest were investigated in FD patients as compared with 40 age- and gender- matched healthy controls. Multivariate pattern analysis was used to evaluate the discriminative power of our results for classifying patients from controls. In our findings, the abnormal brain functional connections were mainly situated within or across the limbic/paralimbic system, the prefrontal cortex, the tempo-parietal areas and the visual cortex. About 96% of the subjects among the original dataset were correctly classified by a leave one-out cross-validation approach, and 88% accuracy was also validated in a replication dataset. The classification features were significantly associated with the patients’ dyspepsia symptoms, the self-rating depression scale and self-rating anxiety scale, but it was not correlated with duration of FD patients (p>0.05). Our results may indicate the effectiveness of the altered brain functional connections reflecting the disease pathophysiology underling FD. These dysfunctional connections may be the epiphenomena or causative agents of FD, which may be affected by clinical severity and its related emotional dimension of the disease rather than the clinical course.     

Responses of Active Ammonia Oxidizers to Eutrophication and Oxygen Statuses in Taihu Freshwater Sediments

Abstract

Here, we employed DNA-based stable isotope probing (SIP) and molecular biology methods to investigate active ammonia oxidizer communities in suboxic sediments (0 to –2?cm) at the micromolar oxygen level and layers (–2 to –5?cm) at nanomolar oxygen concentrations from meso-eutrophic and light-eutrophic locations in Taihu Lake. The results revealed that ammonia-oxidizing archaea (AOA) were less active in the anoxic layer of meso-eutrophic sites, while ammonia-oxidizing bacteria (AOB) were less active in suboxic sediments of light-eutrophic sites after 8?weeks of incubation. The active AOA in the meso- and light-eutrophic sediments belonged to the Nitrosopumilus, Nitrosotalea, and Nitrososphaera clusters and the Nitrosopumilus and Nitrososphaera clusters, respectively, with Nitrosopumilus cluster as the predominant AOA, which took up a higher ratio in the light-eutrophic and suboxic layers than their counterparts. The advantageous active AOB were numerically predominated by the Nitrosomonas cluster in the suboxic layers, and the Nitrosospira cluster in the anoxic layers, respectively, both of which were distributed in diverse frequencies in different eutrophication statuses. The role and community composition diversities of active ammonia oxidizers in freshwater sediments were attributed to the different eutrophication (including nitrogen and organic carbon content) and oxygen statuses.     

Diabetes Mellitus and Risk of Bladder Cancer: A Meta-Analysis of Cohort Studies

Objective

Diabetes is associated with increased risk of cancer at several sites, but its association with risk of bladder cancer is still controversial. We examined this association by conducting a systematic review and meta-analysis of cohort studies.

Methods

Studies were identified by searching PubMed, EMBASE, Scopus, Web of Science, Cochrane register, and Chinese National Knowledge Infrastructure (CNKI) databases through April 29, 2012. Summary relative risks (SRRs) with their corresponding 95% confidence intervals (CIs) were calculated using a random-effects model.

Results

A total of fifteen cohort studies were included in this meta-analysis. Analysis of all studies showed that diabetes was associated with a borderline statistically significant increased risk of bladder cancer (RR 1.11, 95% CI 1.00–1.23; p<0.001 for heterogeneity; I² = 84%). When restricting the analysis to studies that had adjusted for cigarette smoking (n = 6) or more than three confounders (n = 7), the RRs were 1.32 (95% CI 1.18–1.49) and 1.20 (95% CI 1.02–1.42), respectively. There was no significant publication bias (p = 0.62 for Egger’s regression asymmetry test).

Conclusions

Our findings support that diabetes was associated with an increased risk of bladder cancer. More future studies are warranted to get a better understanding of the association and to provide convincing evidence for clinical practice in bladder cancer prevention.     

乙型肝炎病毒蛋白对纤维介素基因的激活作用

纤维介素基因（fgl2）在人和小鼠的重型肝炎的发病机制中发挥重要作用.为探讨乙型肝炎病毒（HBV）编码蛋白对人纤维介素基因（hfgl2）的激活作用, 构建了HBV编码蛋白C、 S和X的真核表达质粒pcDNA-HBc、pcDNA-HBs和pcDNA-HBx, 分别与hfgl2启动子荧光素酶报告基因质粒及β半乳糖苷酶基因质粒（βGal ）共转染到CHO细胞和HepG2 细胞, 采用免疫组织化学和免疫印记方法(Western blotting)鉴定病毒蛋白的表达.通过检测报告基因荧光素酶（LUC）及β半乳糖苷酶的表达活性, 反映病毒蛋白对hfgl2启动子的转录激活作用.结果显示, 转染了真核表达质粒的细胞均能瞬时表达相应的肝炎病毒蛋白, 在CHO细胞, 转染pcDNA-HB组和pcDNA-HBx组相对荧光素酶的活性是对照组的5.4和6倍, 在hepG2细胞, 转染pcDNA-HBc组和pcDNA-HBx组相对荧光素酶的活性是对照组的8.7和11倍.研究表明, CHO和HepG2细胞中表达的HBV C蛋白和X蛋白均具有激活hfgl2的功能, 而S蛋白则不能激活.进一步揭示了HBV病毒蛋白与宿主基因的相互作用机制.     

Identification of highly potent and selective PI3Kδ inhibitors

Selective PI3Kδ inhibitors have recently been hypothesized to be appropriate immunosuppressive agents for the treatment of immunological disorders such as rheumatoid arthritis. However, few reports have highlighted molecules that are highly selective for PI3Kδ over the other PI3K isoforms. In this letter, isoform and kinome selective PI3Kδ inhibitors are presented. The Structural Activity Relationship leading to such molecules is outlined.     

DNA interaction of dioxycyclobutenedione-(1,2-cyclohexanediamine) platinum(II) complex with potential anticancer activity

Dioxycyclobutenedione-(1,2-cyclohexanediamine)platinum(II), (R,R-DC-Pt) was found to have stronger cytotoxicity against six cancer cell lines than cisplatin and its DNA interactions was studied by calorimetric measurements, (13)C NMR. The binding specificity study of DNA base with R,R-DC-Pt was conducted by HPLC. To understand the molecular mechanism of R,R-DC-Pt with stronger cytotoxicity than that of cisplatin, we studied R,R-DC-Pt interaction with an oligonucleotide, d(ACCACGTGGT)(2), which contained c-H-ras gene encoding GGT by NMR spectroscopy. The oligomer DNA double helix was destroyed almost completely upon the R,R-DC-Pt binding. However under the same condition, the cisplatin binding with DNA was not so affected, and instead another conformation was formed, which suggests that larger damage to DNA can be induced by R,R-DC-Pt complex than that by cisplatin.     

The regulation effect of AMPK in immune related diseases

AMP-activated protein kinase (AMPK) is a sensor of cellular energy status that plays a key role in energetic metabolism regulation. Metabolic changes in immune cells, such as dendritic cell (DC), macrophages, neutrophils and lymphocytes that participate in the signal directed programs that promote or inhibit immune mediated diseases, including cancer, atherosclerosis and inflammatory diseases. Multiple pathogenic mechanisms are involved in the initiation and progression of disease, and many pathways have been uncovered. The mechanistic overlap in the metabolic changes and inflammation could indicate that some of the targets they have are in common, whereas AMPK could be useful in treatment of both disorders. The insight into identification of AMPK responsible for specific immune regulation, anti-inflammatory actions and understanding of the underlying molecular mechanism will promote the generation of novel AMPK activators, and provide novel therapy strategy.     

EEG classification of driver mental states by deep learning

Driver fatigue is attracting more and more attention, as it is the main cause of traffic accidents, which bring great harm to society and families. This paper proposes to use deep convolutional neural networks, and deep residual learning, to predict the mental states of drivers from electroencephalography (EEG) signals. Accordingly we have developed two mental state classification models called EEG-Conv and EEG-Conv-R. Tested on intra- and inter-subject, our results show that both models outperform the traditional LSTM- and SVM-based classifiers. Our major findings include (1) Both EEG-Conv and EEG-Conv-R yield very good classification performance for mental state prediction; (2) EEG-Conv-R is more suitable for inter-subject mental state prediction; (3) EEG-Conv-R converges more quickly than EEG-Conv. In summary, our proposed classifiers have better predictive power and are promising for application in practical brain-computer interaction .