• 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