Revealing analgesic and anxiolytic potentials of synthetic benzimidazole analogues: An in-vivo and in-silico study.

Certain drugs have potential to affect and alter individual's behavior. On the other hand, pain is a complex phenomenon with various treatment options; analgesic medicines are the primary source. Therefore, this study was based on examining some of the benzimidazole analogues for their analgesic as well as behavioral potential following Tail immersion test and Open field test respectively. In addition, molecular docking was performed to find the interaction of these compounds with the active site using AutoDock Vina which was further visualized through Discovery Studio Visualizer. It was seen that the cyano-methyl benzimidazole derivatives (CMB1-CMB3) showed relief in pain as compared to benzimidazole derivatives (BI1-BI3), CMB2 demonstrated highly potent analgesic effect. Likewise, all structures except BI1 displayed increase locomotion during open field test and can be offered as anxiolytic compounds. Almost all derivatives showed improve binding energies for the tested proteins where the high analgesic action of CMB2 might be correlated to its high binding affinity and interaction at µOR. It was also noticed that all structures except BI showed possible binding interaction with GABAA receptor and hence possessed anxiolytic like potential. Thus, this study offered benzimidazole analogues for further drug development of analgesic and anxiolytic like compounds.

Pharmacological values and therapeutic properties of black tea (Camellia sinensis): A comprehensive overview.

Medicinal plants are essential parts of traditional medicine due to their phytochemical constituents having pharmacological values and therapeutic applications. Black tea have thousands of various biological compounds such as flavonoids (Thearubigins (TRs) and theaflavins (TFs) and catechins), amino acids (L.theanine), vitamins (A, C, K), phenolic acids (caffeic acid (CA), gallic acid (GA), chlorogenic acids (CGA) and cauramic acid), lipids, proteins, volatile compounds carbohydrates, ß-carotene and fluoride that illustrated many promising pharmacological effects regarded as growth promoter, cardioprotector, potent cholesterol-lowering effect, antioxidant and antimicrobial, etc inhuman. Although there is an exponential growth in molecular evidence of cholesterol-lowering and antioxidant effect in human, there is still a lack of information of the pharmacological effects of black tea. To fill this information gap, therefore, this review article underscores broadening the new insight pertaining to black tea that could be used as safe food additive. This article also illuminates the interesting role of black tea as an herbal medicine that is the future demand to get rid of synthetic health promoters in the human health practice. Moreover, this information would be useful in terms of the low-cost practice of natural medicines with no residual effects, and a natural protection of the human being. In addition, further studies at a molecular level are needed to reveal its mechanism of action particularly for the hypocholesterolemic effect of black tea to overcome the heart-related diseases, fewer side effects and being a natural safeguard of human health.

Differential Proteomic Analysis of Dimethylnitrosamine (DMN)-Induced Liver Fibrosis.

Liver fibrosis is a common pathological feature of many chronic liver diseases. To characterize the entire panorama of proteome changes in dimethylnitrosamine (DMN)-induced liver fibrosis, isobaric tags for relative and absolute quantitation (iTRAQ)-based differential proteomic analysis is performed with DMN-induced liver fibrosis rats. A total of 4155 confidently identified proteins are found, with 365 proteins showing significant changes (fold changes of >1.5 or < 0.67, p < 0.05). In metabolic activation, proteins assigned to drug metabolism enzymes (e.g., CYP2D1) change, suggesting that the liver protection mechanism is activated to relieve DMN toxicity. In addition, the altered proteins of immune response and oxidative stress may activate hepatic stellate cells. Glucose metabolism disorder in DMN model rats is demonstrated by a decrease in key enzymes (e.g., ACSL1) in fatty acid metabolism, a tricabolic acid cycle-related enzyme (SDH), glycogenolysis enzyme, and gluconeogenesis enzymes (PC, PCKGC) and by an increase in glycolysis enzymes (e.g., HXK1). Meanwhile, alterations in iron and calcium ion homeostasis proteins are observed. Our results also show that mitochondrial dysfunction may be involved in DMN hepatotoxicity. In conclusion, these altered liver proteins in the DMN model and control rats provide data for understanding the functional mechanism of liver fibrosis.

Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topics about these drugs from consumers for successful implementation of control measures. Traditional survey methods would have accomplished this study, but they are too costly in terms of resources needed, and they are subject to social desirability bias for topics discovery. Hence, there is a need to use alternative efficient means such as Twitter data and machine learning (ML) techniques. OBJECTIVE: Using Twitter data, the aim of the study was to (1) provide a methodological extension for efficiently extracting widely consumed drugs during seasonal influenza and (2) extract topics from the tweets of these drugs and to infer how the insights provided by these topics can enhance seasonal influenza surveillance. METHODS: From tweets collected during the 2012-13 flu season, we first identified tweets with mentions of drugs and then constructed an ML classifier using dependency words as features. The classifier was used to extract tweets that evidenced consumption of drugs, out of which we identified the mostly consumed drugs. Finally, we extracted trending topics from each of these widely used drugs' tweets using latent Dirichlet allocation (LDA). RESULTS: Our proposed classifier obtained an F1 score of 0.82, which significantly outperformed the two benchmark classifiers (ie, P<.001 with the lexicon-based and P=.048 with the 1-gram term frequency [TF]). The classifier extracted 40,428 tweets that evidenced consumption of drugs out of 50,828 tweets with mentions of drugs. The most widely consumed drugs were influenza virus vaccines that had around 76.95% (31,111/40,428) share of the total; other notable drugs were Theraflu, DayQuil, NyQuil, vitamins, acetaminophen, and oseltamivir. The topics of each of these drugs exhibited common themes or experiences from people who have consumed these drugs. Among these were the enabling and deterrent factors to influenza drugs uptake, which are keys to mitigating the severity of seasonal influenza outbreaks. CONCLUSIONS: The study results showed the feasibility of using tweets of widely consumed drugs to enhance seasonal influenza surveillance in lieu of the traditional or conventional surveillance approaches. Public health officials and other stakeholders can benefit from the findings of this study, especially in enhancing strategies for mitigating the severity of seasonal influenza outbreaks. The proposed methods can be extended to the outbreaks of other diseases.

Herbal Formula, Baogan Yihao (BGYH), Prevented Dimethylnitrosamine(DMN)-Induced Liver Injury in Rats.

Preclinical Research Baogan Yihao (BGYH) is a traditional Chinese herbal medicine for the treatment of chronic liver diseases. In this study, the effects of BGYH on dimethylnitrosamine (DMN)-induced liver fibrosis were investigated using a rat model. BGYH alleviate liver damage, as indicated by decreased levels of AST, ALT, γ-GT, and AKP. BGYH also prevented collagen deposition and reduced pathological tissue injury in liver tissue. In fibrosis, high levels of α-SMA and TGF-ß in liver tissue were markedly attenuated by BGYH. The inhibitory effect of BGYH on HSC-T6 proliferation demonstrated that BGYH exhibited significant hepatoprotective and antifibrogenic effects on DMN-induced liver injury. These findings suggest that BGYH may have therapeutic potential in the prevention and therapy of liver fibrosis. Drug Dev Res 78 : 155-163, 2017. © 2017 Wiley Periodicals, Inc.