Treatment Principles of Obesity with Chinese Herbal Medicine: Literature Analysis by Text Mining

Yunyu Huang, Lianjie Wang, Shidong Wang, Feng Cai, Guang Zheng, Aiping Lu, Xiuchen Yu, Miao Jiang

Beijing Dongzhimen Hospital affiliated to Beijing University of Chinese Medicine, Beijing, China.
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China Hong Kong Baptist University School of Chinese Medicine, Kowloon, Hong Kong, China.
School of Information Science-Engineering, Lanzhou University, Lanzhou, China.

DOI: 10.4236/eng.2013.510B002                

Abstract

Obesity represents a social health problem worldwide, associated with serious health risks and increased mortality. The prevalence of obesity is reported to be increasing in both developed and developing countries. Obesity is associated with a significant range of comorbidities and is linked with increases in mortality, thus the treatment of obesity is very important. Chinese herbal medicine (CHM) has been used for weight management both in China and in western countries for many years, the effectiveness and safety of CHMs in obesity have been proved. Yet the principles of treating obesity with CHMs are hard to manage due to the complexity of TCM theory. In this study, a novel text mining method was developed based on a comprehensive collection of literatures in order to explore the treatment principles more intuitively. Networks of TCM patterns and CHMs which are most frequently used in obesity treatment are built-up and analyzed, two major principles are explored in treating obesity: one is resolving phlegm and dampness, the other is clearing heat and reinforcing deficiency. These findings might guide the clinicians in treatment of obesity.

Keywords

Obesity; Chinese Herbal Medicine; Pattern; Traditional Chinese Medicine; Text Mining

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	A. E. Caballero, “Endothelial Dysfunction in Obesity and Insulin Resistance: A Road to Diabetes and Heart Disease,” Obesity Research, Vol. 11, No. 11, 2003, pp. 1278-1289. http://dx.doi.org/10.1038/oby.2003.174
[2]	K. M. Flegal, M. D. Carroll, B. K. Kit and C. L. Ogden, “Prevalence of Obesity and Trends in the Distribution of Body Mass Index among US Adults, 1999-2010,” JAMA, Vol. 307, No. 5, 2012, pp. 491-497. http://dx.doi.org/10.1001/jama.2012.39
[3]	K. M. Flegal, M. D. Carroll, C. L. Ogden and L. R. Curtin, “Prevalence and Trends in Obesity among US Adults, 1999-2008,” JAMA, Vol. 303, No. 3, 2010, pp. 235-241. http://dx.doi.org/10.1001/jama.2009.2014
[4]	Y. Gao, S. Griffiths and E. Y. Chan, “Community-Based Interventions to Reduce Overweight and Obesity in China: A Systematic Review of the Chinese and English Literature,” Journal of Public Health (Oxford), Vol. 30, No. 4, 2008, pp. 436-448. http://dx.doi.org/10.1093/pubmed/fdm057
[5]	F. X. Pi-Sunyer, “The Obesity Epidemic: Pathophysiology and Consequences of Obesity,” Obesity Research, Vol. 10, No. Suppl 2, 2002, pp. 97S-104S. http://dx.doi.org/10.1038/oby.2002.202
[6]	“Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation,” World Health Organization Technical Report Series, Vol. 894, 2000, pp. i-xii, 1-253.
[7]	“Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults—The Evidence Report. National Institutes of Health, Obesity Research, Vol. 6, No. Suppl 2, 1998, pp. 51S-209S. http://dx.doi.org/10.1002/j.1550-8528.1998.tb00690.x
[8]	“Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults,” WMJ, Vol. 79, No. 9, 1998, pp. 20-21, 24-25, 27-37.
[9]	R. Ara, L. Blake, L. Gray, M. Hernandez, M. Crowther, A. Dunkley, F. Warren, R. Jackson, A. Rees, M. Stevenson, et al., “What Is the Clinical Effectiveness and Cost-Effectiveness of Using Drugs in Treating Obese Patients in Primary Care? A Systematic Review,” Health Technology Assessment Journal, Vol. 16, No. 5, 2012, pp. iii-xiv, 1- 195.
[10]	D. A. Galuska, J. C. Will, M. K. Serdula and E. S. Ford, “Are Health Care Professionals Advising Obese Patients to Lose Weight?” JAMA, Vol. 282, No. 16, 1999, pp. 1576-1578. http://dx.doi.org/10.1001/jama.282.16.1576
[11]	J. E. Harris, V. Hamaday and E. Mochan, “Osteopathic Family Physicians’ Attitudes, Knowledge, and Self-Reported Practices Regarding Obesity,” The Journal of the American Osteopathic Association, Vol. 99, No. 7, 1999, pp. 358-365.
[12]	G. B. Lenon, K. X. Li, Y. H. Chang, A. W. Yang, C. Da Costa, C. G. Li, M. Cohen, N. Mann and C. C. Xue: “Efficacy and Safety of a Chinese Herbal Medicine Formula (RCM-104) in the Management of Simple Obesity: A Randomized, Placebo-Controlled Clinical Trial,” Evidence-Based Complementary and Alternative Medicine, Vol. 2012, 2012, Article ID: 435702.
[13]	C. Hioki, K. Yoshimoto and T. Yoshida, “Efficacy of Bofu-Tsusho-San, an Oriental Herbal Medicine, in Obese Japanese Women with Impaired Glucose Tolerance,” Clinical and Experimental Pharmacology and Physiology, Vol. 31, No. 9, 2004, pp. 614-619. http://dx.doi.org/10.1111/j.1440-1681.2004.04056.x
[14]	N. A. Talpur, B. W. Echard, V. Manohar and H. G. Preuss, “Influence of a Combination of Herbs on Appetite Suppression and Weight Loss in Rats,” Diabetes, Obesity and Metabolism, Vol. 3, No. 3, 2001, pp. 181-185. http://dx.doi.org/10.1046/j.1463-1326.2001.00126.x
[15]	K. Ohno, H. J. Chung, I. Maruyama and T. Tani, “Bofut-sushosan, a Traditional Chinese Formulation, Prevents Intimal Thickening and Vascular Smooth Muscle Cell Proliferation Induced by Balloon Endothelial Denudation in Rats,” Biological & Pharmaceutical Bulletin, Vol. 28, No. 11, 2005, pp. 2162-2165. http://dx.doi.org/10.1248/bpb.28.2162
[16]	M. Kang, J. W. Oh, H. K. Lee, H. S. Chung, S. M. Lee, C. Kim, H. J. Lee, D. W. Yoon, H. Choi, H. Kim, et al., “Anti-Obesity Effect of PM-F2-OB, an Anti-Obesity Herbal Formulation, on Rats Fed a High-Fat Diet,” Biological & Pharmaceutical Bulletin, Vol. 27, No. 8, 2004, pp. 1251-1256. http://dx.doi.org/10.1248/bpb.27.1251
[17]	G. Zheng, M. Jiang, X. He, J. Zhao, H. Guo, G. Chen, Q. Zha and A. Lu, “Discrete Derivative: A Data Slicing Algorithm for Exploration of Sharing Biological Networks between Rheumatoid Arthritis and Coronary Heart Disease,” BioData Mining, Vol. 4, 2011, p. 18. http://dx.doi.org/10.1186/1756-0381-4-18
[18]	M. Jiang, C. Zhang, G. Zheng, H. Guo, L. Li, J Yang, C. Lu, W. Jia and A. Lu, “Traditional Chinese Medicine Zheng in the Era of Evidence-Based Medicine: A Literature Analysis,” Evidence-Based Complementary and Alternative Medicine, Vol. 2012, 2012, Article ID: 409568.