Zeng Tiexin, Xiao Qi, Zhang Jianuo, Sun Xiao, Guo Baolin, Pei Jin, Huang Lin-Fang
Key Laboratory of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Chengdu University of Traditional Chinese Medicine Key Laboratory of Systematic Research of Distinctive Chinese Medicine Resources in Southwest China, College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 611137, China.
Food Funct. 2023 Mar 20;14(6):2710-2726. doi: 10.1039/d2fo02596e.
Safflower () has the efficacy for promoting blood circulation and preventing cardiovascular and Alzheimer's diseases and is thus a valuable medicinal and functional food plant. However, how to evaluate high-quality safflower is still a problem. To differentiate intraspecies ecotypes and illustrate the mechanisms of differential metabolites of from different regions, this study combined the widely targeted metabolome, weighted network pharmacology, and molecular docking to filter bioactive compounds and predict the target preference. The results indicated that kaempferol is suitable as a secondary Q-marker to differentiate intraspecies ecotypes. In secondary metabolites, the average content of kaempferol and its derivates in from Sichuan is three times that of other areas, which have the potential for the targeted medicine of CA2 and TNF. In volatile metabolites, isoaromadendrene epoxide has the potential as a specifically targeted medicine of RXRA. The change of the target preference could be the reason for the difference in drug efficacy among different varieties of . It is reasonable that Sichuan was recognized as a high-quality ecotype producing region of in China, which promotes blood circulation and removes blood stasis. This study provides an innovative method to differentiate intraspecies ecotypes and explore their target preference.
红花()具有促进血液循环以及预防心血管疾病和阿尔茨海默病的功效,因此是一种有价值的药用和功能性食用植物。然而,如何评估高品质的红花仍是一个问题。为了区分种内生态型并阐明来自不同地区的红花差异代谢物的机制,本研究结合广泛靶向代谢组学、加权网络药理学和分子对接来筛选生物活性化合物并预测靶点偏好。结果表明,山奈酚适合作为区分种内生态型的二级Q标志物。在次生代谢物中,来自四川的红花中山奈酚及其衍生物的平均含量是其他地区的三倍,其具有针对CA2和TNF的靶向药物的潜力。在挥发性代谢物中,异香树烯环氧化物具有作为RXRA特异性靶向药物的潜力。靶点偏好的变化可能是不同品种红花药效差异的原因。四川被公认为中国促进血液循环、活血化瘀的高品质红花生态型产区是合理的。本研究提供了一种区分种内生态型并探索其靶点偏好的创新方法。