Anti-hepatotoxic effect of Casuarina stricta and Casuarina suberosa extracts on alcohol-induced liver toxicity in rats

In recent years, there has been a global trend toward the use of natural phytochemicals present in natural resources, such as fruits, vegetables, oilseeds, and herbs, as antioxidants and functional foods. The aim of the present study was to investigate the protective and antioxidant effects of methanolic extract of Casuarina stricta and Casuarina suberosa leaves on ethanol induced hepatotoxicity in rats. The ethanol intoxication (1 ml of 40 % ethanol for 100 gm body weight for 6 weeks) to rats resulted in a significant increase in serum ALT, AST, \u3b3 glutamyl transferase (\u3b3 GT), hydroxyproline, MDA level and a significant decrease in serum albumin, total protein, A/G ratio, total antioxidant capacity, SOD, catalase activities and GSH level, P < 0.05. The treatment with Casuarina stricta and Casuarina suberosa extract at a dose of 250 mg/Kg body weight together with ethanol for 6 weeks successfully prevented the alterations of studied parameters in the treated groups. Both extracts significantly increased the total antioxidant capacity. The experimental results indicate that, both Casuarina extracts have excellent hepatoprotective effect

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Free serum testosterone level in male rats treated with tribulus alatus extracts

OBJECTIVE: The present study was undertaken to investigate the effect of Tribulus alatus extracts on free serum testosterone in male rats. MATERIALS AND METHODS: Free serum testosterone level was measured in male rats treated with alcoholic extracts of the aerial part without fruits, fruits of Tribulus alatus and their fractions. RESULTS: All tested extracts showed significant increase in the level of free serum testosterone when compared to that of corresponding control, p < 0.05. Statistical comparison of all groups revealed that the maximum level was found in groups treated with chloroformic and ethanolic fractions of fruits extract. CONCLUSION: Tribulus alatus extract appears to possess aphrodisiac activity due to its androgen increasing property

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press