title: Text mining of the classical medical literature for medicines that show potential in diabetic nephropathy.
abstract: Objectives. To apply modern text-mining methods to identify candidate herbs and formulae for the treatment of diabetic nephropathy. Methods. The method we developed includes three steps: (1) identification of candidate ancient terms; (2) systemic search and assessment of medical records written in classical Chinese; (3) preliminary evaluation of the effect and safety of candidates. Results. Ancient terms Xia Xiao, Shen Xiao, and Xiao Shen were determined as the most likely to correspond with diabetic nephropathy and used in text mining. A total of 80 Chinese formulae for treating conditions congruent with diabetic nephropathy recorded in medical books from Tang Dynasty to Qing Dynasty were collected. Sao si tang (also called Reeling Silk Decoction) was chosen to show the process of preliminary evaluation of the candidates. It had promising potential for development as new agent for the treatment of diabetic nephropathy. However, further investigations about the safety to patients with renal insufficiency are still needed. Conclusions. The methods developed in this study offer a targeted approach to identifying traditional herbs and/or formulae as candidates for further investigation in the search for new drugs for modern disease. However, more effort is still required to improve our techniques, especially with regard to compound formulae.
authors.affiliation: Nephropathy Department, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Guangzhou 510120, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
authors.forename: Yin
authors.initials: Y
authors.lastname: Li
authors.affiliation: Evidence-Based Medicine and Clinical Research Service Group, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Guangzhou 510120, China.
authors.forename: Xinfeng
authors.initials: X
authors.lastname: Guo
authors.affiliation: Traditional and Complementary Medicine Research Program, Health Innovations Research Institute, WHO Collaborating Centre for Traditional Medicine, School of Health Sciences, RMIT University, Bundoora, VIC 3083, Australia.
authors.forename: Brian H
authors.initials: BH
authors.lastname: May
authors.affiliation: Traditional and Complementary Medicine Research Program, Health Innovations Research Institute, WHO Collaborating Centre for Traditional Medicine, School of Health Sciences, RMIT University, Bundoora, VIC 3083, Australia.
authors.forename: Charlie C L
authors.initials: CC
authors.lastname: Xue
authors.affiliation: Evidence-Based Medicine and Clinical Research Service Group, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Guangzhou 510120, China.
authors.forename: Lihong
authors.initials: L
authors.lastname: Yang
authors.affiliation: Nephropathy Department, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Guangzhou 510120, China.
authors.forename: Xusheng
authors.initials: X
authors.lastname: Liu
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