基于数据挖掘的失眠动物模型应用分析OACHSSCD

Objective:To summarize and categorize existing animal models of insomnia and provide references for establishing in-somnia animal models that better reflect the characteristics of disease and syndromes in both traditional Chinese medicine(TCM)and Western medicine.Methods:Literature was retrieved from Chinese and English databases using"insomnia"and"animal mod-el"as subject terms.Data related to animal species,sex,body weight,modeling methods,criteria for determining successful model establishment,evaluation indicators,intervention methods,and positive control drugs were statistically analyzed.Results:A total of 143 articles were included.Insomnia models mainly used male Sprague Dawley(SD)rats and Wistar rats with body weights of 180 to 220 g.The primary modeling method was the induction of insomnia in rats using p-chlorophenylalanine,and model evaluation was mainly performed through observation of apparent changes.Frequently used evaluation indicators included the open field test,Morris water maze test,neurotransmitter detection,inflammatory mediator analysis,and brain tissue pathological examination.Inter-vention methods mainly involved Chinese herbal compound formulas,single Chinese herbs or extracts,and also included acupunc-ture and moxibustion,Western medicines,and Tuina.Diazepam was the most commonly used positive control drug in the experi-ments.Conclusion:Data mining analysis of insomnia animal models revealed limitations in current models,including weak correla-tions with TCM syndromes.In the future,insomnia models should be optimized using the concept of"disease-syndrome combina-tion"to provide a more precise experimental foundation for investigating the mechanisms of Chinese medicines and developing new drugs.