Gao Juan, Zhou Xiujuan, Gao Hong, Xu Guiping, Xie Chunguang, Xie Hongyan
Chengdu University of Traditional Chinese Medicine School of Clinical Medicine, Chengdu, China.
Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Front Pharmacol. 2024 Apr 19;15:1349244. doi: 10.3389/fphar.2024.1349244. eCollection 2024.
Herbal formulations are renowned for their complex biological activities, acting on multiple targets and pathways, as evidenced by studies. However, the hypoglycemic effect and underlying mechanisms of Shenqi Compound (SQ), a traditional Chinese herbal formula, remain elusive. This study aimed to elucidate the hypoglycemic effects of SQ and explore its mechanisms of action, focusing on intestinal flora and metabolomics. A Type 2 diabetes mellitus (T2DM) rat model was established through a high-fat diet, followed by variable glucose and insulin injections to mimic the fluctuating glycemic conditions seen in diabetes. An eight-week regimen of SQ significantly mitigated hyperglycemia, inflammation, and insulin resistance in these rats. Notably, SQ beneficially modulated the gut microbiota by increasing populations of beneficial bacteria, such as Lachnospiraceae_NK4A136_group and Akkermansia, while reducing and inhibiting harmful strains such as Ruminococcus and Phascolarctobacterium. Metabolomics analyses revealed that SQ intervention corrected disturbances in Testosterone enanthate and Glycerophospholipid metabolism. Our findings highlight the hypoglycemic potential of SQ and its mechanisms via modulation of the gut microbiota and metabolic pathways, offering a theoretical foundation for the use of herbal medicine in diabetes management.
草药配方因其复杂的生物活性而闻名,作用于多个靶点和途径,研究已证明这一点。然而,中药复方参芪复方(SQ)的降血糖作用及其潜在机制仍不清楚。本研究旨在阐明SQ的降血糖作用,并探索其作用机制,重点关注肠道菌群和代谢组学。通过高脂饮食建立2型糖尿病(T2DM)大鼠模型,随后注射可变剂量的葡萄糖和胰岛素,以模拟糖尿病中血糖波动的情况。为期八周的SQ给药方案显著减轻了这些大鼠的高血糖、炎症和胰岛素抵抗。值得注意的是,SQ通过增加有益菌(如毛螺菌科_NK4A136_组和阿克曼氏菌)的数量,同时减少和抑制有害菌株(如瘤胃球菌和考拉杆菌),有益地调节了肠道微生物群。代谢组学分析表明,SQ干预纠正了庚酸睾酮和甘油磷脂代谢的紊乱。我们的研究结果突出了SQ通过调节肠道微生物群和代谢途径的降血糖潜力,为草药在糖尿病管理中的应用提供了理论基础。