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淡黑巨藻醇提取物降血糖活性及其对小鼠肠道菌群的影响 被引量:2

Anti-diabetic Activity of Alcohol Extracts from Lessonia nigrescens and Its Effects on Intestinal Microflora in Mice
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摘要 筛选具有降血糖活性的海藻活性物质,研究其对2型糖尿病小鼠肠道菌群的影响,为开发具有降糖作用的营养功能性食品提供依据。利用体外α-葡萄糖苷酶抑制活性和HepG2胰岛素抵抗细胞模型,对13种海藻通过分步提取法制备得到的35种海藻提取物进行筛选,并采用16S rRNA高通量测序技术分析降糖效果佳的提取物对2型糖尿病小鼠肠道菌群的影响。结果表明,35种海藻提取物中泡叶藻和淡黑巨藻55%乙醇提取物对α-葡萄糖苷酶活性抑制作用最为显著,淡黑巨藻55%乙醇提取物更能显著提高HepG2胰岛素抵抗细胞的葡萄糖消耗量,其显著增加2型糖尿病小鼠肠道内Bacteroidetes属的丰度,且使Firmicutes属细菌数量明显减少。淡黑巨藻55%醇提取物表现出显著的降血糖及调节肠道菌群的作用,具有潜在的食药用价值。 The aim of this article is to screen the seaweed active material and study the effect on intestinal flora in mice with type 2 diabetes for providing functional nutrition food with hypoglycemic effect. First,the 35 different extracts from 13 kinds of seaweeds prepared by step-by-step extraction method were screened by evaluating in vitro α-glucosidase activity and using HepG2 insulin resistance cell model. Then,the impacts of extracts with solid hypoglycemic effects on intestinal flora in type 2 diabetic mice were evaluated through 16s rRNA high-throughput sequencing. Among the 35 seaweed extracts,55%-ethanol extracts from Lessonia nigrescens and Ascophyllum nodosum showed the most significant inhibitory effects on α-glucosidase activity ;moreover,the 55%-ethanol extracts from L. nigrescens significantly increased the glucose consumption of insulin-resistant HepG2 cells,also remarkably increased the abundance of Bacteroidetes in the intestine of mice and decreased the number of Firmicutes bacteria. The 55%-ethanol extract of Lessonia nigrescens showed the most significant hypoglycemic activity and the ability to maintain the balance of intestinal microflora,which may have potential medicinal value.
出处 《生物技术通报》 CAS CSCD 北大核心 2017年第12期162-169,共8页 Biotechnology Bulletin
基金 福建省杰出青年科学基金项目(2016J06009) 福建省海洋藻类活性物质制备与功能开发重点实验室项目(2017FZSK05) 福建省高水平大学建设项目(612014043) 福建省海洋高新产业发展专项项目(闽海洋高新[2014]17号)
关键词 淡黑巨藻 醇提取物 糖尿病 肠道菌群 16SrRNA高通量测序 Lessonia nigrescens alcohol extracts Diabetes mellitus intestinal flora 16S rRNA high-throughput sequencing
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