Gut microbes mediate prebiotic-like effects of resistant starch

益生元 肠道菌群 抗性淀粉 生物 微生物代谢 生物化学 益生菌 食品科学 细菌 淀粉 遗传学
作者
Qingqing Yan,Wenjing Wang,Zhexin Fan,Baokun Li,Yijiang Wei,Renqiang Yu,Pan Tong,Ning Wang,Wenwei Lu,Zhifeng Fang
出处
期刊:Food bioscience [Elsevier]
卷期号:61: 104627-104627 被引量:2
标识
DOI:10.1016/j.fbio.2024.104627
摘要

Resistant starch (RS) is a type of dietary fiber with prebiotic-like properties that can reduce fat accumulation, modulate glucose and insulin levels, and protect the gut barrier. These functions from RS are closely associated with gut microbiota. RS was consumed to different extents by gut microbiota, but there are significant differences in the utilization rates. We summarized the interaction between each type of RS and gut microbiota and the role of RS in regulating gut microbiota and metabolic activities were reviewed. It focused on exploring the differences in the utilization of RS due to variations in glycoside hydrolases encoded by gut microbes, and the effects of differences in utilization on gut microbial structure, composition, and metabolism including short-chain fatty acid, bile acids, and tryptophan. Furthermore, taking mineral levels, hyperlipidemia, gastric injury, colon cancer, metabolic syndrome, and non-alcoholic fatty liver disease as examples, we elaborated on the role of RS interactions with intestinal flora in regulating human health. Finally, we discussed the application of artificial intelligence algorithms in RS modulating human health. The structure and composition of gut flora are significantly heterogeneous in individuals, it is possible to combine in vitro and in vivo fermentation experiments with artificial intelligence algorithms such as machine learning algorithms to analyze the differences in the response of the gut flora and metabolic network to different RS. Based on differences, personalized guidance on diet, nutrition, and lifestyle can be provided based on individual characteristics to more effectively utilize RS for disease prevention and intervention.

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