The Classification of Sini Decoction Pattern in Traditional Chinese Medicine by Gene Expression Profiling
Autor: | Chao-Ying Huang, Hung-Tsu Cheng, Ian C. Hsu, Chaang-Ray Chen, Chia-Yang Li, Wun-Yi Shu |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty Training set Article Subject Traditional medicine Microarray business.industry lcsh:Other systems of medicine Traditional Chinese medicine lcsh:RZ201-999 Sini decoction Hierarchical clustering Gene expression profiling City hospital 03 medical and health sciences 030104 developmental biology Complementary and alternative medicine Internal medicine Medicine Biomarker (medicine) business Research Article |
Zdroj: | Evidence-based Complementary and Alternative Medicine : eCAM Evidence-Based Complementary and Alternative Medicine, Vol 2016 (2016) |
ISSN: | 1741-4288 1741-427X |
Popis: | We investigated the syndromes of theSinidecoction pattern (SDP), a common ZHENG in traditional Chinese medicine (TCM). The syndromes of SDP were correlated with various severeYang deficiencyrelated symptoms. To obtain a common profile for SDP, we distributed questionnaires to 300 senior clinical TCM practitioners. According to the survey, we concluded 2 sets of symptoms for SDP: (1) pulse feels deep or faint and (2) reversal cold of the extremities. Twenty-four individuals from Taipei City Hospital, Linsen Chinese Medicine Branch, Taiwan, were recruited. We extracted the total mRNA of peripheral blood mononuclear cells from the 24 individuals for microarray experiments. Twelve individuals (including 6 SDP patients and 6 non-SDP individuals) were used as the training set to identify biomarkers for distinguishing the SDP and non-SDP groups. The remaining 12 individuals were used as the test set. The test results indicated that the gene expression profiles of the identified biomarkers could effectively distinguish the 2 groups by adopting a hierarchical clustering algorithm. Our results suggest the feasibility of using the identified biomarkers in facilitating the diagnosis of TCM ZHENGs. Furthermore, the gene expression profiles of biomarker genes could provide a molecular explanation corresponding to the ZHENG of TCM. |
Databáze: | OpenAIRE |
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