School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Chaoyang District, Beijing, China.
New York Institute of Technology College of Osteopathic Medicine, Arkansas State University, Jonesboro, AR, United States.
Front Endocrinol (Lausanne). 2024 Aug 15;15:1373054. doi: 10.3389/fendo.2024.1373054. eCollection 2024.
Hepatocellular carcinoma (HCC) is a major cause of cancer-related mortality worldwide. Traditional Chinese Medicine (TCM) is widely utilized as an adjunct therapy, improving patient survival and quality of life. TCM categorizes HCC into five distinct syndromes, each treated with specific herbal formulae. However, the molecular mechanisms underlying these treatments remain unclear.
We employed a network medicine approach to explore the therapeutic mechanisms of TCM in HCC. By constructing a protein-protein interaction (PPI) network, we integrated genes associated with TCM syndromes and their corresponding herbal formulae. This allowed for a quantitative analysis of the topological and functional relationships between TCM syndromes, HCC, and the specific formulae used for treatment.
Our findings revealed that genes related to the five TCM syndromes were closely associated with HCC-related genes within the PPI network. The gene sets corresponding to the five TCM formulae exhibited significant proximity to HCC and its related syndromes, suggesting the efficacy of TCM syndrome differentiation and treatment. Additionally, through a random walk algorithm applied to a heterogeneous network, we prioritized active herbal ingredients, with results confirmed by literature.
The identification of these key compounds underscores the potential of network medicine to unravel the complex pharmacological actions of TCM. This study provides a molecular basis for TCM's therapeutic strategies in HCC and highlights specific herbal ingredients as potential leads for drug development and precision medicine.
肝细胞癌(HCC)是全球癌症相关死亡的主要原因。传统中药(TCM)被广泛用作辅助治疗方法,可提高患者的生存率和生活质量。TCM 将 HCC 分为五种不同的证候,每种证候都采用特定的草药配方进行治疗。然而,这些治疗方法的分子机制尚不清楚。
我们采用网络医学方法来探索 TCM 在 HCC 中的治疗机制。通过构建蛋白质-蛋白质相互作用(PPI)网络,我们整合了与 TCM 证候及其相应草药配方相关的基因。这使得我们能够对 TCM 证候、HCC 以及用于治疗的特定配方之间的拓扑和功能关系进行定量分析。
我们的研究结果表明,与五个 TCM 证候相关的基因与 PPI 网络中与 HCC 相关的基因密切相关。五个 TCM 配方对应的基因集与 HCC 及其相关证候表现出显著的接近性,这表明 TCM 证候分化和治疗的疗效。此外,我们通过对异质网络应用随机游走算法,对活性草药成分进行了优先级排序,这些结果得到了文献的验证。
这些关键化合物的鉴定突显了网络医学在揭示 TCM 复杂药理作用方面的潜力。本研究为 TCM 在 HCC 中的治疗策略提供了分子基础,并强调了特定的草药成分作为药物开发和精准医学的潜在先导化合物。