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首页> 外文期刊>Evidence-based complementary and alternative medicine: eCAM >Chinese Herbal Medicines for Rheumatoid Arthritis: Text-Mining the Classical Literature for Potentially Effective Natural Products
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Chinese Herbal Medicines for Rheumatoid Arthritis: Text-Mining the Classical Literature for Potentially Effective Natural Products

机译：用于类风湿性关节炎的中草药：文本挖掘潜在有效天然产品的古典文学

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Background. Rheumatoid arthritis (RA) is an autoimmune disease characterized by multijoint swelling, pain, and destruction of the synovial joints. Treatments are available but new therapies are still required. One source of new therapies is natural products, including herbs used in traditional medicines. In China and neighbouring countries, natural products have been used throughout recorded history and are still in use for RA and its symptoms. This study used text-mining of a database of classical Chinese medical books to identify candidates for future clinical and experimental investigations of therapeutics for RA. Methods. The database Encyclopaedia of Traditional Chinese Medicine (Zhong Hua Yi Dian) includes the full texts of over 1,150 classical books. Eight traditional terms were searched. All citations were assessed for relevance to RA. Results and Conclusions. After removal of duplications, 3,174 citations were considered. After applying the exclusion and inclusion criteria, 548 citations of traditional formulas were included. These derived from 138 books written from 206 CE to 1948. These formulas included 5,018 ingredients (mean, 9?ingredients/formula) comprising 243 different natural products. When these text-mining results were compared to the 18 formulas recommended in a modern Chinese Medicine clinical practice guideline, 44% of the herbal formulas were the same. This suggests considerable continuity in the clinical application of these herbs between classical and modern Chinese medicine practice. Of the 15 herbs most frequently used as ingredients of the classical formulas, all have received research attention, and all have been reported to have anti-inflammatory effects. Two of these 15 herbs have already been developed into new anti-RA therapeutics—sinomenine from Sinomenium acutum (Thunb.) Rehd. & Wils and total glucosides of peony from Paeonia lactiflora Pall. Nevertheless, there remains considerable scope for further research. This text-mining approach was effective in identifying multiple natural product candidates for future research.
机译：背景。类风湿性关节炎（RA）是一种自身免疫性疾病，其特征在于肿胀，疼痛和滑膜关节的破坏。可用治疗，但仍然需要新的疗法。新疗法的一个来源是天然产品，包括在传统药物中使用的草药。在中国和邻国，在整个记录的历史上使用了天然产品，并且仍然用于RA及其症状。本研究用来了古典医学书籍数据库的文本挖掘，以确定候选人，以申请RA治疗方法的未来临床和实验研究。方法。中医药数据库百科全书（钟华益迪安）包括超过1,150件古典书籍的全文。搜查了八个传统术语。所有引文都被评估为与RA相关。结果与结论。删除重复后，考虑了3,174个引文。在申请排除和纳入标准后，包括548个传统公式的引文。这些衍生自206年CE至1948年写的138本书。这些配方包括5,018种成分（平均值，9？成分/配方），其包含243种不同的天然产物。当这些文本挖掘结果与推荐的现代中医临床实践指南建议的18公式进行比较时，44％的草药公式是一样的。这表明古典和现代中药实践之间这些草药的临床应用相当连续性。在15种草药中最常被用作经典公式的成分，所有人都接受了研究的关注，并且据报道，所有据报道都具有抗炎作用。这两种草药中的两种已经开发成来自Sidomenium Acutum（Thunb）的新的抗RA治疗物 - SINOMENINE。REHD。来自Paeonia Lactiflora Pall的牡丹牡丹的葡萄糖和牡丹总葡萄糖苷。然而，进一步研究仍有相当大的范围。这种文本挖掘方法有效地识别未来研究的多个天然产品候选人。

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