中国比较医学杂志2026，Vol.36Issue(10)：19-28,10.DOI:10.3969/j.issn.1671-7856.2026.10.003
基于数据挖掘的心肌梗死后抑郁动物模型的分析及评价
Animal models of post-myocardial infarction depression based on data mining
摘要
Abstract
Objective To analyze the current status and optimization directions of animal models of post-myocardial infarction depression based on literature data mining.Methods Systematic searches of Chinese and English databases were conducted to identify relevant literature,followed by extraction of model parameters and statistical analysis.Results A total of 107 studies were included.The models predominantly used male Sprague-Dawley(SD)rats or C57BL/6 mice and mainly employed composite modeling method combining coronary artery ligation with chronic unpredictable mild stress.Behavioral assessments focused on forced swim,open field,and sucrose preference tests,targeting despair,exploratory,and anhedonic behaviors.Most modeling durations were within 4 weeks.Conclusions The current literature analysis showed that most animal models of post-myocardial infarction depression used SD rats or C57BL/6 mice,with composite modeling effectively simulating the complex pathophysiological processes of the disease.However,improvements are still needed in terms of gender balance,standardization of modeling duration,and evaluation of neuro-cardiac comorbidity mechanisms.关键词
心肌梗死后抑郁/动物模型/数据挖掘/行为学检测/病证结合Key words
post-myocardial infarction depression/animal models/data mining/behavioral testing/disease-syndrome combination分类
医药卫生引用本文复制引用
陈梦雪,宇庆迎,沈悦,刘琳,揭如菲,邓迪,张荣..基于数据挖掘的心肌梗死后抑郁动物模型的分析及评价[J].中国比较医学杂志,2026,36(10):19-28,10.基金项目
国家自然科学基金(U24A20791) （U24A20791）
广州市科技计划项目(2023B03J1238). （2023B03J1238）
