About this Journal Submit a Manuscript Table of Contents
Evidence-Based Complementary and Alternative Medicine
Volume 2012 (2012), Article ID 129452, 11 pages
http://dx.doi.org/10.1155/2012/129452
Research Article

Understanding the Molecular Mechanism of Interventions in Treating Rheumatoid Arthritis Patients with Corresponding Traditional Chinese Medicine Patterns Based on Bioinformatics Approach

1Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Science, Beijing 100700, China
2School of Life Science, Hubei University, Wuhan, Hubei 430062, China
3Institute of Clinical Medicine, China-Japan Hospital, Beijing 100029, China
4National Research Center of TCM, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi 330006, China
5Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Beijing 100094, China
6School of Chinese Medicine, Hong Kong Baptist University, 7 Baptist University Road, Kowloon Tong, Kowloon, Hong Kong

Received 23 July 2012; Accepted 2 September 2012

Academic Editor: Zhaoxiang Bian

Copyright © 2012 Miao Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. M. Eisenberg, R. B. Davis, S. L. Ettner et al., “Trends in alternative medicine use in the United States, 1990–1997: results of a follow-up national survey,” Journal of the American Medical Association, vol. 280, no. 18, pp. 1569–1575, 1998. View at Scopus
  2. A. P. Lu, H. W. Jia, C. Xiao, and Q. P. Lu, “Theory of traditional chinese medicine and therapeutic method of diseases,” World Journal of Gastroenterology, vol. 10, no. 13, pp. 1854–1856, 2004. View at Scopus
  3. A. P. Lu and K. J. Chen, “Chinese medicine pattern diagnosis could lead to innovation in medical sciences,” Chinese Journal of Integrative Medicine, vol. 17, pp. 811–817, 2011.
  4. A. P. Lu and K. J. Chen, “Integrative medicine in clinical practice: from pattern differentiation in traditional Chinese medicine to disease treatment,” Chinese Journal of Integrative Medicine, vol. 15, no. 2, article 152, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. C. Lu, X. Niu, C. Xiao et al., “Network-based gene expression biomarkers for cold and heat patterns of rheumatoid arthritis in traditional chinese medicine,” Evidence-Based Complementary and Alternative Medicine, vol. 2012, Article ID 203043, 17 pages, 2012. View at Publisher · View at Google Scholar
  6. Y. He, A. Lu, Y. Zha et al., “Correlations between symptoms as assessed in traditional Chinese medicine (TCM) and ACR20 efficacy response: a comparison study in 396 patients with rheumatoid arthritis treated with TCM or Western medicine,” Journal of Clinical Rheumatology, vol. 13, no. 6, pp. 317–321, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. C. Gao, L. Biao, J. Miao, T. Yong, and L. Aiping, “Functional networks for Salvia miltiorrhiza and Panax notoginseng in combination explored with text mining and bioinformatical approach,” Journal of Medicinal Plants Research, vol. 5, pp. 4030–4040, 2011.
  8. G. Chen, C. Lu, Q. Zha et al., “A network-based analysis of traditional Chinese medicine cold and hot patterns in rheumatoid arthritis,” Complementary Therapies in Medicine, vol. 20, no. 1-2, pp. 23–30, 2012.
  9. Y. He, A. Lu, Y. Zha, and I. Tsang, “Differential effect on symptoms treated with traditional Chinese medicine and western combination therapy in RA patients,” Complementary Therapies in Medicine, vol. 16, no. 4, pp. 206–211, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. D. T. Felson, J. J. Anderson, M. Boers et al., “American College of Rheumatology preliminary definition of improvement in rheumatoid arthritis,” Arthritis and Rheumatism, vol. 38, no. 6, pp. 727–735, 1995. View at Publisher · View at Google Scholar · View at Scopus
  11. G. G. Zhang, W. L. Lee, L. Lao, B. Bausell, B. Berman, and B. Handwerger, “The variability of TCM pattern diagnosis and herbal prescription on rheumatoid arthritis patients,” Alternative Therapies in Health and Medicine, vol. 10, no. 1, pp. 58–63, 2004. View at Scopus
  12. Y. C. Fang, H. C. Huang, H. H. Chen, and H. F. Juan, “TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining,” BMC Complementary and Alternative Medicine, vol. 8, article 58, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. D. Cheng, C. Knox, N. Young, P. Stothard, S. Damaraju, and D. S. Wishart, “PolySearch: a web-based text mining system for extracting relationships between human diseases, genes, mutations, drugs and metabolites,” Nucleic Acids Research, vol. 36, pp. W399–W405, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. P. Shannon, A. Markiel, O. Ozier et al., “Cytoscape: a software environment for integrated models of biomolecular interaction networks,” Genome Research, vol. 13, no. 11, pp. 2498–2504, 2003. View at Publisher · View at Google Scholar · View at Scopus
  15. M. Li, J. E. Chen, J. X. Wang, B. Hu, and G. Chen, “Modifying the DPClus algorithm for identifying protein complexes based on new topological structures,” BMC Bioinformatics, vol. 9, article 398, 2008. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Maere, K. Heymans, and M. Kuiper, “BiNGO: a cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks,” Bioinformatics, vol. 21, no. 16, pp. 3448–3449, 2005. View at Publisher · View at Google Scholar · View at Scopus
  17. W. Y. Jiang, “Therapeutic wisdom in traditional Chinese medicine: a perspective from modern science,” Trends in Pharmacological Sciences, vol. 26, no. 11, pp. 558–563, 2005. View at Publisher · View at Google Scholar · View at Scopus
  18. C. Lu, Q. Zha, A. Chang, Y. He, and A. Lu, “Pattern differentiation in traditional chinese medicine can help define specific indications for biomedical therapy in the treatment of rheumatoid arthritis,” Journal of Alternative and Complementary Medicine, vol. 15, no. 9, pp. 1021–1025, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. H. Z. Ye, C. S. Zheng, X. J. Xu, M. X. Wu, and X. X. Liu, “Potential synergistic and multitarget effect of herbal pair Chuanxiong Rhizome-Paeonia Albifora Pall on osteoarthritis disease: a computational pharmacology approach,” Chinese Journal of Integrative Medicine, vol. 17, pp. 698–703, 2011.
  20. S. Li, B. Zhang, and N. Zhang, “Network target for screening synergistic drug combinations with application to traditional Chinese medicine,” BMC Systems Biology, vol. 5, supplement, no. 1, article S10, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. C. Ma, Y. Yao, Q. X. Yue et al., “Differential proteomic analysis of platelets suggested possible signal cascades network in platelets treated with Salvianolic acid B,” PLoS ONE, vol. 6, no. 2, Article ID e14692, 2011. View at Publisher · View at Google Scholar · View at Scopus
  22. G. Wu, L. Zhu, J. E. Dent, and C. Nardini, “A comprehensive molecular interaction map for rheumatoid arthritis,” PLoS ONE, vol. 5, no. 4, Article ID e10137, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. S. Mathur and D. Dinakarpandian, “Drug repositioning using disease associated biological processes and network analysis of drug targets,” in Proceedings of the AMIA Annual Symposium, vol. 2011, pp. 305–311, 2011.
  24. J. M. Nagarah, “Neurons on a chip—toward high throughput network and pharmacology investigations,” Frontiers in Pharmacology, vol. 2, article 74, 2011.