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Original Article | Open Access

Detection of consensuses and treatment principles of diabetic nephropathy in traditional Chinese medicine: A new approach

Xu Tonga, Qingyu Xieb, Guang Ronga, Sheng Zhoua, Qinggang Menga( )
School of Basic Medical Science, Beijing University of Chinese Medicine, Beijing 100029, China
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China

Peer review under responsibility of Beijing University of Chinese Medicine.

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Abstract

Objective

To propose and test a new approach based on community detection in the field of social computing for uncovering consensuses and treatment principles in traditional Chinese medicine (TCM).

Methods

Three Chinese databases (CNKI, VIP, and Wan Fang Data) were searched for published articles on TCM treatment of diabetic nephropathy (DN) from their inception until September 31, 2014. Zheng classification and herb data were extracted from included articles and used to construct a Zheng classification and treatment of diabetic nephropathy (DNZCT) network with nodes denoting Zhengs and herbs and edges denoting corresponding treating relationships among them. Community detection was applied to the DNZCT and detected community structures were analyzed.

Results

A network of 201 nodes and 743 edges were constructed and six communities were detected. Nodes clustered in the same community captured the same semantic topic; different communities had unique characteristics, and indicated different treatment principles. Large communities usually represented similar points of view or consensuses on common Zheng diagnoses and herb prescriptions; small communities might help to indicate unusual Zhengs and herbs.

Conclusion

The results suggest that the community detection-based approach is useful and feasible for uncovering consensuses and treatment principles of DN treatment in TCM, and could be used to address other similar problems in TCM.

Keywords

Community detectionTraditional Chinese medicineSocial computingDiabetic nephropathyZheng classification and treatment

Electronic Supplementary Material

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References

1

Tang L, Liu H. Community Detection and Mining in SocialMedia7. California: Morgan & Claypool Publishers; 2013:11.
2

Cooke B. Community-based monitoring: exploring the involvement of friends groups in a terrestrial park management context. J Aust Netw Plant Conserv. 2008;17:10-12.
Google Scholar
3

Wadhwa P, Bhatia MPS. Community detection approaches in real world networks: a survey and classification. Int J Virtual Communities Soc Netw. 2014;6:35-51.
Crossref Google Scholar
4

Hartwell LH, Hopfield JJ, Leibler S, Murray AW. From molecular to modular cell biology. Nature. 1999;402: C47-C52.
Crossref Google Scholar
5

Cheng Q, Lu X, Liu Z, Huang J. Mining research trends with anomaly detection models: the case of social computing research. Scientometrics. 2015;103:453-469.
Crossref Google Scholar
6

He Y, Zhang PP, Tang JY, et al. A collaboration network description on traditional chinese medical prescription formulation system. Sci Technol Rev. 2005;23:36-39.
Google Scholar
7

Chang H, Su BB, Zhou YP, He DR. Assortativity and act degree distribution of some collaboration networks. Phys A Stat Mech Appl. 2007;383:687-702.
Crossref Google Scholar
8

He Y, Lu A, Zhao Y, Tsang I. Differential effect on symptoms treated with traditional Chinese medicine and western combination therapy in RA patients. Complement Ther Med. 2008;16:206-211.
Crossref Google Scholar
9

Lu C, Zhao Q, Chang A, He Y, Lu A. Pattern differentiation in traditional Chinese medicine can help define specific indications for biomedical therapy in the treatment of rheumatoid arthritis. J Altern Complement Med. 2009;15:1021-1025.
Crossref Google Scholar
10

Sun S. Metabolomic evaluation of Zheng differentiation and treatment by Fuzhenghuayu tablet in hepatitis-B-caused cirrhosis. Evid Based Complement Altern Med. 2012;2012:453503.
Crossref Google Scholar
11

Dai J, Fang J, Sun S, et al. Zheng-omics application in Zheng classification and treatment: Chinese personalized medicine. Evid Based Complement Altern Med. 2013;77:133.
Crossref Google Scholar
12
Bipartite graph. Wikipedia. http://en.wikipedia.org/w/index.php?title=BipartiteGraph&oldid=547606131. Accessed24.07.15.
13

He DR, Liu ZH, Wang BH. Complex Systems and Complex Networks. Beijing: Higher Education Press; 2009:295.
14
Newman M E J. Modularity and community structure in networks. Paper presented at: APS March Meeting; 2006.
Crossref
15

Newman ME, Girvan M. Finding and evaluating community structure in networks. Phys Rev E. 2004;69, 026113-026113.
Crossref Google Scholar
16

Barber MJ. Modularity and community detection in bipartite networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2007;76,066102-066102.
Crossref Google Scholar
17

Radicchi F, Castellano C, Cecconi F, et al. Defining and identifying communities in networks. Proc Natl Acad Sci U.S.A. 2004;101:2658-2663.
Crossref Google Scholar
18

Wang Y, Zeng-Ru DI, Fan Y. Comparative definition of community in bipartite network. Complex Syst Complex Sci. 2009;6:40-44.
Google Scholar
19

Poon TYC, Kwok Leung O, Cheung BMY. Review of the effects of the traditional Chinese medicine Rehmannia Six Formula on diabetes mellitus and its complications. J Diabetes. 2011;3:184-200.
Crossref Google Scholar
20

Morrison G, Mahadevan L. Discovering communities through friendship. PLos One. 2012;7:1-9.
Crossref Google Scholar
21

Li P, Xie YS. Diabetic Nephropathy: From Bench to Bedside inTCM & Western Medicine. Shanghai: Scientific and TechnicalPublishers; 2009:159-162.
22

Bi DP, Ji GD, Zhang HX. Effect of Tong xinluo capsules on cystatin C in the early diabetic nephropathy. J Shandong Univ Heal Sci. 2013;51:67-69.
Crossref Google Scholar
Journal of Traditional Chinese Medical Sciences
Volume 2 Issue 4,
October 2015
Pages 270-283
DOI: 10.1016/j.jtcms.2016.02.001
Cite this article:
Tong X, Xie Q, Rong G, et al. Detection of consensuses and treatment principles of diabetic nephropathy in traditional Chinese medicine: A new approach. Journal of Traditional Chinese Medical Sciences, 2015, 2(4): 270-283. https://doi.org/10.1016/j.jtcms.2016.02.001

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Received: 15 May 2015
Accepted: 15 July 2015
Published: 31 March 2016
© 2015 Beijing University of Chinese Medicine.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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