目的 基于失眠症状群分类，探究失眠处方用药情况。方法 借助生物信息学手段，从GEO数据库中获取失眠的相关基因，并在症状群聚类以及症状群回归分析的基础上探究中药在失眠症状群中的差异性分布。采用DAVID工具分析中药与失眠基因的关联关系，将关联关系映射至失眠症状群乃至其他相关疾病中。结果 失眠亚型可分为3类（A型、A-B型、B型），且在失眠亚型的基础上，中药用药也形成3种组合。针对于A型失眠主要以清热理气药为主，A-B型失眠主要以清热理气化痰药为主，B型失眠主要以理气化痰药为主；以基因为媒介的疾病注释结果显示失眠与精神障碍类疾病（抑郁症、双向情感障碍等）合病的可能性。结论 依据失眠症状群分类挖掘失眠处方为失眠的分型及治疗提供了一定证据，并为失眠亚型的治疗与研究提供了一定的参考。

Objective To explore the situation of prescription medication for insomnia based on the classification of insomnia symptom clusters. Methods By means of bioinformatics, the genes related to insomnia were obtained from GEO database, and the differential distribution of traditional Chinese medicine (TCM) in insomnia symptom clusters was explored based on symptom cluster clustering analysis and symptom group regression analysis. DAVID tool was used to analyze the association between TCM and insomnia genes, and the association relationship was mapped to insomnia symptom groups and other related diseases. Results Insomnia subtypes can be divided into three types (type A, type A-B, type B), and on the basis of insomnia subtypes, TCM also formed three combinations. For type A insomnia, heat-clearing qi-regulating drugs were mainly used, type A-B insomnia mainly used heat-clearing qi-regulating phlegm-eliminating drugs, and type B insomnia mainlyused qi-regulating phlegm-eliminating drugs. The results of gene-mediated disease annotation showed the possibility of co-morbidity of insomnia and mental disorders (depression, bipolar disorder, etc.). Conclusion The discovery of insomnia prescriptions according to the classification of insomnia symptoms clusters provides some evidence for the classification and treatment of insomnia, and provides some reference for the treatment and research of insomnia subtypes.

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国家重点研发计划中医药现代化研究重点专项（2018YFC1707500）；山东省重点研发计划（2021LCZX06）；山东省自然科学基金项目（ZR2017LH062）；山东省中医药科技项目（2021Q077）；山东省高等学校中医药数字人文青年创新团队（2023RW093）