Li Yixia, Huang Wenqi, Sun Jing, Li Wenjuan
Department of Encephalopathy, Jing'an District Hospital of Traditional Chinese Medicine, Shanghai, China.
Brain Behav. 2025 Sep;15(9):e70829. doi: 10.1002/brb3.70829.
This study analyzes medicinal herbs in Traditional Chinese Medicine (TCM) formulations for post-ischemic stroke cognitive impairment, identifying key herbs, their interactions, and potential therapeutic mechanisms through systematic review, frequency analysis, and association rule mining.
Systematic searches were performed across major databases (CBM, CNKI, VIP, Wanfang Data) to find studies on TCM for post-ischemic stroke cognitive impairment. Inclusion criteria focused on studies reporting TCM formulas and their cognitive effects. Data extraction standardized herb names, and frequency analysis identified high-frequency herbs (>10%). Association rule mining was done using Python with a minimum support of 10%, a minimum confidence of 50%, and a maximum antecedent size of 5 to uncover key herb associations for therapeutic insights.
A systematic review identified 56 studies on TCM formulas for post-ischemic stroke cognitive impairment, extracting 114 herbs. Frequency analysis found 27 herbs used in over 10% of formulas, with Ligusticum chuanxiong, Acorus tatarinowii, and Salvia miltiorrhiza being most common. Association rule mining revealed key combinations, suggesting potential synergistic effects in TCM treatments.
This study highlights key traditional Chinese herbs and herb combinations commonly used in clinical practice for cognitive impairment after ischemic stroke. The findings suggest that herb pairs such as Ligusticum chuanxiong-Salvia miltiorrhiza and Acorus tatarinowii-Polygala tenuifolia may exert synergistic effects consistent with both TCM theory and modern pharmacology. These results provide direction for future targeted studies and support the rational formulation of TCM-based interventions in stroke rehabilitation.
本研究分析用于缺血性中风后认知障碍的中药配方中的草药,通过系统评价、频次分析和关联规则挖掘确定关键草药、它们之间的相互作用以及潜在的治疗机制。
在主要数据库(中国生物医学文献数据库、中国知网、维普资讯、万方数据)中进行系统检索,以查找关于中药治疗缺血性中风后认知障碍的研究。纳入标准聚焦于报告中药配方及其认知效果的研究。数据提取过程中规范了草药名称,频次分析确定了高频草药(>10%)。使用Python进行关联规则挖掘,最小支持度为10%,最小置信度为50%,最大前项集大小为5,以揭示关键草药组合,从而获得治疗方面的见解。
系统评价确定了56项关于中药配方治疗缺血性中风后认知障碍的研究,提取出114种草药。频次分析发现27种草药在超过10%的配方中使用,其中川芎、石菖蒲和丹参最为常见。关联规则挖掘揭示了关键组合,表明中药治疗中可能存在协同效应。
本研究突出了临床实践中常用于治疗缺血性中风后认知障碍的关键中药及其组合。研究结果表明,川芎 - 丹参以及石菖蒲 - 远志等药对可能发挥与中医理论和现代药理学均相符的协同效应。这些结果为未来的针对性研究提供了方向,并支持在中风康复中合理制定基于中药的干预措施。