10 research outputs found

    Bioactive Compounds and Health Benefits ofArtemisiaSpecies

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    Artemisia L. is a genus of small herbs and shrubs found in northern temperate regions. It belongs to the important family Asteraceae, one of the most numerous plant groupings, which comprises about 1000 genera and over 20000 species. Artemisia has a broad spectrum of bioactivity, owing to the presence of several active ingredients or secondary metabolites, which work through various modes of action. It has widespread pharmacological activities and has been used as traditional medicine since ancient times as an anthelmintic, antispasmodic, antirheumatic, and antibacterial agent and for the treatment of malaria, hepatitis, cancer, inflammation, and menstrual-related disorders. This review comprises the updated information about the ethnomedical uses and health benefits of various Artemisia spp. and general information about bioactive compounds and free radicals

    Berberine, a popular dietary supplement for human and animal health: Quantitative research literature analysis a review

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    Berberine is an alkaloid with a wide range of reported beneficial health effects. The current work provides an extensive literature analysis on berberine. Bibliometric data were identified by means of the search string TOPIC=(berberin* OR umbellatine*), which yielded 5,547 publications indexed in the Web of Science Core Collection electronic database. The VOSviewer software generated bubble maps to visualize semantic terms with citation results. The ratio of original articles to reviews was 13.6:1. The literature has been growing more quickly since the 2010s. Major contributing countries were China, the United States, India, Japan, and South Korea. Most of the publications appeared in journals specialized in pharmacology pharmacy, biochemistry molecular biology, chemistry, and plant science. Some of the frequently mentioned chemicals/chemical classes were alkaloid, palmatine, jatrorrhizine, coptisine, isoquinoline, and sanguinarine. The prevalent medical conditions under investigation included Alzheimers disease, cancer, diabetes, and obesity.Acknowledge the support by the Polish KNOW (LeadingNational Research Centre) Scientific Consortium “Healthy Animal-Safe Food,” decision of Ministry of Science and Higher Education No. 05-1/KNOW2/2015 and the European Union under the European Regional Development Fund (Homing/2017-4/41). Antoni Sureda has been supported by the Institute of Health Carlos III (Project CIBEROBN CB12/03/30038). Joanna Feder-Kubis was financed by the Polish Ministry of Science and Higher Education for the Faculty of Chemistry of Wrocław University of Science and Technology.info:eu-repo/semantics/publishedVersio

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

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    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

    Resveratrol, a popular dietary supplement for human and animal health: quantitative research literature analysis - a review

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    Resveratrol is a stilbene-type bioactive molecule with a broad spectrum of reported biological effects. In this sense, the current work provides a comprehensive literature analysis on resveratrol, representing a highly-researched commercially available dietary ingredient. Bibliometric data were identified by means of the search string TOPIC=(“resveratrol*”) and analyzed with the VOSviewer software, which yielded 17,561 publications extracted from the Web of Science Core Collection electronic database. The ratio of original articles to reviews was 9.5:1. More than half of the overall manuscripts have been published since 2013. Major contributing countries were USA, China, Italy, South Korea, and Spain. Most of the publications appeared in journals specialized in biochemistry and molecular biology, pharmacology and pharmacy, food science technology, cell biology, or oncology. The phytochemicals or phytochemical classes that were frequently mentioned in the keywords of analyzed publications included, in descending order: resveratrol, trans- resveratrol, polyphenols, flavonoids, quercetin, stilbenes, curcumin, piceatannol, cis-resveratrol, and anthocyanins

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

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