Sargassumhorneri(SH)在亚太地区被广泛用作健康的海藻食品。然而,有助于其生物活性的生物活性成分仍然未知。在这里,我们使用响应面法和人工神经网络优化了多频超声辅助提取条件,以获得更高的抗氧化活性。高分辨率质谱(HRMS;阴性模式)用于初步鉴定优化的SH提取物中的次生代谢产物,进一步测试了RAW264.7细胞中的氧化应激。此外,在计算机上分析鉴定的化合物以确定它们与Keap1蛋白(4L7B)的结合能。我们使用HRMS鉴定了89个化合物,其中19种代谢物(8种多酚,2类黄酮,2木脂素,2萜烯,2单宁,2硫脂,和1磷脂)首次在SH中被推定报道。体外结果表明,优化的SH提取物通过Nrf2/MAPKs/HO-1途径以剂量依赖性方式抑制氧化应激。通过计算机模拟验证了这一结果,表明sargaquinoic酸和glycitein-7-O-葡糖苷酸具有最高的结合能(-9.20和-9.52Kcal/mol,分别)朝向Keap1(4L7B)。本研究为科学界提供了一种独特的方法,通过优化多变量提取工艺条件来鉴定潜在的生物活性化合物。可用于开发功能性和营养食品。
Sargassum horneri (SH) is widely consumed as a healthy seaweed food in the Asia-Pacific region. However, the bioactive components contributing to its biological activity remain unknown. Herein, we optimized multifrequency ultrasonic-assisted extraction conditions to achieve higher antioxidant activity using a response surface methodology and an artificial neural network. High-resolution mass spectrometry (HRMS; negative mode) was used to tentatively identify the secondary metabolites in the optimized SH extract, which were further tested against oxidative stress in RAW264.7 cells. Additionally, the identified compounds were analyzed in silico to determine their binding energies with the Keap1 protein (4L7B). We identified 89 compounds using HRMS, among which 19 metabolites (8 polyphenolics, 2 flavonoids, 2 lignans, 2 terpenes, 2 tannins, 2 sulfolipids, and 1 phospholipid) were putatively reported for the first time in SH. The in vitro results revealed that optimized SH extract inhibited oxidative stress via the Nrf2/MAPKs/HO-1 pathway in a dose-dependent manner. This result was validated by performing in silico simulation, indicating that sargaquinoic acid and glycitein-7-O-glucuronide had the highest binding energies (-9.20 and -9.52 Kcal/mol, respectively) toward Keap1 (4L7B). This study offers a unique approach for the scientific community to identify potential bioactive compounds by optimizing the multivariant extraction processing conditions, which could be used to develop functional and nutraceutical foods.