ZHENG-omics application in ZHENG classification and treatment: Chinese personalized medicine

Jianye Dai, Junwei Fang, Shujun Sun, Qiwen Chen, Huijuan Cao, Ningning Zheng, Yongyu Zhang*, Aiping LYU

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

10 Citations (Scopus)


With the hope to provide an effective approach for personalized diagnosis and treatment clinically, traditional chinese medicine (TCM) is being paid increasing attention as a complementary and alternative medicine. It performs treatment based on ZHENG (TCM syndrome) classification, which could be identified clinical special phenotypes by symptoms and signs of patients even if they have a different disease. However, it caused controversy because ZHENG classification only depends on observation, knowledge, and clinical experience of TCM practitioners, which lacks objectivity and repeatability. Although researchers and scientists of TCM have done some work with a lot of beneficial methods, the results could not reach satisfactory with the shortcomings of generalizing the entire state of the body or ignoring the patients' feelings. By total summary, mining, and integration of existing researches, the present paper attempts to introduce a novel macro-microconcept of ZHENG-omics, with the prospect of bright future in providing an objective and repeatable approach for Chinese personalized medicine in an effective way. In this paper, we give the brief introduction and preliminary validation, and discuss strategies and system-oriented technologies for achieving this goal.

Original languageEnglish
Article number235969
JournalEvidence-based Complementary and Alternative Medicine
Publication statusPublished - 2013

Scopus Subject Areas

  • Complementary and alternative medicine


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