Chinese Herbal Medicines for Rheumatoid Arthritis: Text-Mining the Classical Literature for Potentially Effective Natural Products. (29th April 2020)
- Record Type:
- Journal Article
- Title:
- Chinese Herbal Medicines for Rheumatoid Arthritis: Text-Mining the Classical Literature for Potentially Effective Natural Products. (29th April 2020)
- Main Title:
- Chinese Herbal Medicines for Rheumatoid Arthritis: Text-Mining the Classical Literature for Potentially Effective Natural Products
- Authors:
- Xia, Xuan
May, Brian H.
Zhang, Anthony Lin
Guo, Xinfeng
Lu, Chuanjian
Xue, Charlie C.
Huang, Qingchun - Other Names:
- Fioravanti Antonella Academic Editor.
- Abstract:
- Abstract : 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 herbsAbstract : 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. … (more)
- Is Part Of:
- Evidence-based complementary and alternative medicine. Volume 2020(2020)
- Journal:
- Evidence-based complementary and alternative medicine
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04-29
- Subjects:
- Alternative medicine -- Periodicals
615.505 - Journal URLs:
- http://ecam.oupjournals.org ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/241/ ↗
http://www.hindawi.com/journals/ecam/ ↗ - DOI:
- 10.1155/2020/7531967 ↗
- Languages:
- English
- ISSNs:
- 1741-427X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3831.036630
British Library HMNTS - ELD Digital store - Ingest File:
- 14339.xml