基于数据挖掘的心肌梗死后抑郁动物模型的分析及评价OA

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.