Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine

doi:10.1007/s11684-014-0349-8

Frontiers of Medicine

2014, Vol. 8

Issue (3): 337-346 https://doi.org/10.1007/s11684-014-0349-8

本期目录

Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine

Xuezhong Zhou^1,^2,^*(

),Yubing Li¹,Yonghong Peng³,Jingqing Hu⁴,Runshun Zhang⁵,Liyun He⁶,Yinghui Wang⁵,Lijie Jiang⁶,Shiyan Yan⁶,Peng Li⁶,Qi Xie²,Baoyan Liu^2,^*(

)

1. School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China
2. China Academy of Chinese Medical Sciences, Beijing 100700, China
3. School of Engineering and Informatics, University of Bradford, BD7 1DP, UK
4. Institute of Basic Theory of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
5. Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
6. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China

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Abstract：

Traditional Chinese medicine (TCM) investigates the clinical diagnosis and treatment regularities in a typical schema of personalized medicine, which means that individualized patients with same diseases would obtain distinct diagnosis and optimal treatment from different TCM physicians. This principle has been recognized and adhered by TCM clinical practitioners for thousands of years. However, the underlying mechanisms of TCM personalized medicine are not fully investigated so far and remained unknown. This paper discusses framework of TCM personalized medicine in classic literatures and in real-world clinical settings, and investigates the underlying mechanisms of TCM personalized medicine from the perspectives of network medicine. Based on 246 well-designed outpatient records on insomnia, by evaluating the personal biases of manifestation observation and preferences of herb prescriptions, we noted significant similarities between each herb prescriptions and symptom similarities between each encounters. To investigate the underlying mechanisms of TCM personalized medicine, we constructed a clinical phenotype network (CPN), in which the clinical phenotype entities like symptoms and diagnoses are presented as nodes and the correlation between these entities as links. This CPN is used to investigate the promiscuous boundary of syndromes and the co-occurrence of symptoms. The small-world topological characteristics are noted in the CPN with high clustering structures, which provide insight on the rationality of TCM personalized diagnosis and treatment. The investigation on this network would help us to gain understanding on the underlying mechanism of TCM personalized medicine and would propose a new perspective for the refinement of the TCM individualized clinical skills.

Key words： personalized medicine complex network clinical phenotype network traditional Chinese medicine

收稿日期: 2014-05-01 出版日期: 2014-10-09

Corresponding Author(s): Xuezhong Zhou

引用本文:

. [J]. Frontiers of Medicine, 2014, 8(3): 337-346.
Xuezhong Zhou,Yubing Li,Yonghong Peng,Jingqing Hu,Runshun Zhang,Liyun He,Yinghui Wang,Lijie Jiang,Shiyan Yan,Peng Li,Qi Xie,Baoyan Liu. Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine. Front. Med., 2014, 8(3): 337-346.

链接本文:

https://academic.hep.com.cn/fmd/CN/10.1007/s11684-014-0349-8
https://academic.hep.com.cn/fmd/CN/Y2014/V8/I3/337

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