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网络药理学在中医药研究中的困境——我们该何去何从?

The challenges of network pharmacology in traditional Chinese medicine research-where should we go?
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摘要 网络药理学是一门用于阐释疾病和药物之间分子网络的交叉学科,其“多成分—多靶点—多疾病”的宏微观相结合的研究模式与中医整体观一致,有助于促进中医药的现代化发展。由于网络药理学的研究路径固化、研究结果“同质化”、数据质量良莠不齐、技术方法选择存在专业壁垒,致其发展正陷入停滞不前的困境中。为了解决这些困境,需要采取一系列措施。首先,需要创新研究路径,拓展网络药理学的应用领域,如中药质量控制、中药重定位、不良反应预测等,以发挥其更广泛的应用潜能。其次,需要提高数据质量,改善数据来源的准确性、数据处理的规范性、数据选择的精准性和保障数据的中医药特征,避免数据同质化现象。此外,应根据研究目的优化技术方法选择。最后希望通过加强跨学科合作,推动网络药理学在中医药领域的应用。 Network pharmacology is an interdisciplinary field used to elucidate the molecular networks between diseases and drugs.Its research model,which combines macro and micro perspectives of‘multi-component,multi-target,and multi-disease’,aligns with the holistic view of traditional Chinese medicine(TCM),thus contributing to the modernization of TCM.However,the development of network pharmacology is currently facing stagnation due to rigid research paths,homogenized research outcomes,varying data quality,and professional barriers in the selection of technical methods.In order to address these challenges,a series of measures need to be taken.Firstly,it is necessary to innovate research paths and expand the application fields of network pharmacology,such as TCM quality control,repositioning of TCM,and prediction of adverse reactions,in order to fully unleash its broader potential applications.Secondly,it is essential to enhance data quality by improving the accuracy of data sources,standardizing data processing,ensuring precise data selection,and safeguarding the unique characteristics of TCM data,thus avoiding data homogenization phenomena.Additionally,the selection of technical methods should be optimized according to the research objectives.Lastly,it is hoped that by strengthening interdisciplinary collaboration,the application of network pharmacology in the field of TCM can be promoted.
作者 程钰 沈翊康 韦婉 焦扬 张烨 CHENG Yu;SHEN Yikang;WEI Wan;JIAO Yang;ZHANG Ye(The Second Clinical Medical College of Beijing University of Chinese Medicine,Beijing 100078,China)
出处 《环球中医药》 CAS 2024年第7期1446-1452,共7页 Global Traditional Chinese Medicine
基金 北京市自然科学基金(7202118)。
关键词 网络药理学 中医药 研究方法 数据质量 网络靶标 中药重定位 中药处方优化 中药质量控制 network pharmacology traditional Chinese medicine research methods data quality network targets Chinese medicine repositioning optimization of Chinese medicine prescriptions quality control of Chinese medicine
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