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Correlation Research on the Essence of Viscera-state and Neuro-Endocrine-Immune Network-related Indicators / 中国中医药信息杂志
Chinese Journal of Information on Traditional Chinese Medicine ; (12): 18-21, 2014.
Article in Chinese | WPRIM | ID: wpr-452446
ABSTRACT
Objective To explore the intrinsic link between neuro-endocrine-immune (NEI) network and the viscera-state.Methods Using three databases namely TCM database, Chinese pharmacy database and combination of TCM and WM database in China Academic Journals Database, the authors searched and collected NEI-related indicators published on journals for the viscera-state researches. Then a related database was established for data mining. Through analysis of association rules, analysis of the relationship among diseases, syndromes, therapeutic principles, combination of disease and syndrome, and NEI network related indicators were performed for association rules and directional network diagrams.Results Through the association analysis, the authors drew 44 directional network diagrams of high-frequency disease positions, syndromes, therapeutic principles and NEI network related indicators, and obtained 19 association rules. Kidney and liver essence research focused on HPG axis, HPA axis, and HPT axis. Spleen essence research focused on brain-gut peptide related indicators. Heart essence research focused on vascular endothelium function indicators. Pulmonary essence research focused on humeral immunity, ET and TNF-α.Conclusion It was feasible to explore the intrinsic link between NEI network and the viscera-state by using data mining. Differences among study on NEI network of five-organs systems were found, which is of great significance for researches on the essence of the viscera-state.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Information on Traditional Chinese Medicine Year: 2014 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Information on Traditional Chinese Medicine Year: 2014 Type: Article