基于文献挖掘的中医证候生物学基础初步研究

摘要

Objective To explore the biological basis of TCM syndromes from a biomolecules network perspective with qi deficiency syndrome as the breakthrough point. Methods A data dictionary of neuro-endocrine-immune (NEI) related genes and qi deficiency syndrome characterization terminology thesaurus were established. Literature about qi deficiency syndrome characterization was retrieved by using Genclip, to excavate the characteristic NEI gene, thereby to explore different bioactive substances of syndromes. Results The analysis of the genetic data, showed qi deficiency related cluster with the relevance of endocrine, signal transduction, hematopoietic cell and immune deficiencies etc. It is confirmed that the intrinsic biological features of TCM syndrome can effectively identify in the NEI level. Conclusion Literature mining method as a new way to discover syndromes biological indicators has certain feasibility, and it is recommended to be further expanded into other studies on syndromes to validate the universality and reliability of this method.%目的：以中医常见证型气虚证为切入点，从生物分子网络角度探索中医证候生物学基础。方法建立神经-内分泌-免疫(NEI)相关基因数据字典及气虚证表征术语词库，并通过 Genclip 软件检索气虚证表征文献并挖掘气虚证特征性NEI基因，探索证候的生物活性物质。结果对挖掘出的基因数据进行分析显示，“气虚证”相关基因与内分泌、细胞信号传导、造血细胞系、免疫缺陷等相关。中医证型的内在生物学特征可以在NEI 水平上进行有效的辨识。结论文献挖掘作为一种新的发现证候生物学指标的方法具有一定的可行性，建议将其扩大到其他证型的研究中，验证该方法的普适性和可靠性。