DocumentCode :
3198349
Title :
Network analysis for anti-rheumatoid arthritis TCM prescriptions
Author :
Yan Li ; Zibo Ouyang ; Rui Li ; Shao Li
Author_Institution :
Yijishan Hosp., Wannan Med. Coll., Wuhu, China
fYear :
2013
fDate :
18-21 Dec. 2013
Firstpage :
114
Lastpage :
115
Abstract :
A typical characteristic of traditional Chinese medicine (TCM) is that TCM practitioners always prescribe different herbal formulae according to the condition of individual patients, making TCM as a kind of personalized medicine. In this study, we conducted a network analysis to evaluate the prescription rules underlying a set of anti-rheumatoid arthritis (RA) prescriptions collected from a TCM master in China, Mr. Ji-Ren Li. A herb network-compound network-disease network workflow was established for the TCM prescription analysis. Then the core herb network was constructed from 871 anti-RA prescriptions. We further demonstrated that the potential biological activities exerted by the herbs from the core network are significantly associated with the RA genes in terms of GO biological processes. The results give evidence for the effectiveness and reasonableness of herb formulae prescribed by Mr. Li.
Keywords :
diseases; genetics; medical information systems; network analysis; patient treatment; GO biological processes; RA genes; TCM practitioners; antirheumatoid arthritis TCM prescription analysis; biological activities; herb network-compound network-disease network workflow; herbal formulae; network analysis; personalized medicine; traditional Chinese medicine; Arthritis; Bioinformatics; Biological processes; Compounds; Hospitals; Medical diagnostic imaging; Herbal prescription; Network analysis; Rheumatoid arthritis; Traditional Chinese medicine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/BIBM.2013.6732651
Filename :
6732651
Link To Document :
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