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引用次数: 0
摘要
网络药理学在系统生物学中起着举足轻重的作用,填补了中医理论与当代药理学研究之间的空白。网络药理学使研究人员能够构建多层网络,系统地阐明中药多组分、多靶点的作用机制。本文综述了网络药理学中常用的主要数据库,包括草药、成分、疾病数据库和网络药理学分析专用平台。此外,我们还通过引用Web of Science、PubMed和CNKI近20年来的文献,以“网络药理学”、“中医网络药理学”和“草药网络药理学”等关键词,探讨了网络药理学在中医领域的应用。网络药理学在中药领域的应用十分广泛,涵盖了中药药效物质基础的识别、作用机制的揭示、毒性评价、安全性评价、新药开发等领域。然而,挑战仍然存在,例如缺乏跨数据库的标准化数据收集以及在研究中对加工草药的考虑不足。研究结果的可靠性也存在问题。本文旨在为今后的精准中医网络药理学研究提供有价值的见解和参考点。
Network pharmacology: a crucial approach in traditional Chinese medicine research.
Network pharmacology plays a pivotal role in systems biology, bridging the gap between traditional Chinese medicine (TCM) theory and contemporary pharmacological research. Network pharmacology enables researchers to construct multilayered networks that systematically elucidate TCM's multi-component, multi-target mechanisms of action. This review summarizes key databases commonly used in network pharmacology, including those focused on herbs, components, diseases, and dedicated platforms for network pharmacology analysis. Additionally, we explore the growing use of network pharmacology in TCM, citing literature from Web of Science, PubMed, and CNKI over the past two decades with keywords like "network pharmacology", "TCM network pharmacology", and "herb network pharmacology". The application of network pharmacology in TCM is widespread, covering areas such as identifying the material basis of TCM efficacy, unraveling mechanisms of action, and evaluating toxicity, safety, and novel drug development. However, challenges remain, such as the lack of standardized data collection across databases and insufficient consideration of processed herbs in research. Questions also persist regarding the reliability of study outcomes. This review aims to offer valuable insights and reference points to guide future research in precision TCM network pharmacology.
Chinese MedicineINTEGRATIVE & COMPLEMENTARY MEDICINE-PHARMACOLOGY & PHARMACY
CiteScore
7.90
自引率
4.10%
发文量
133
审稿时长
31 weeks
期刊介绍:
Chinese Medicine is an open access, online journal publishing evidence-based, scientifically justified, and ethical research into all aspects of Chinese medicine.
Areas of interest include recent advances in herbal medicine, clinical nutrition, clinical diagnosis, acupuncture, pharmaceutics, biomedical sciences, epidemiology, education, informatics, sociology, and psychology that are relevant and significant to Chinese medicine. Examples of research approaches include biomedical experimentation, high-throughput technology, clinical trials, systematic reviews, meta-analysis, sampled surveys, simulation, data curation, statistics, omics, translational medicine, and integrative methodologies.
Chinese Medicine is a credible channel to communicate unbiased scientific data, information, and knowledge in Chinese medicine among researchers, clinicians, academics, and students in Chinese medicine and other scientific disciplines of medicine.