Dynamic response of different types of gut microbiota to fructooligosaccharides and inulin.

Abstract

Fructooligosaccharides (FOS) and inulin are beneficial for human health. However, their benefits differ in individuals who consume prebiotics. Several factors contribute to this variation, including host genetics and differences in the gut microbiota. Bifidobacterium and Bacteroides are strong carbohydrate-utilizing bacteria in the gut, and the level of the Bacteroides/Bifidobacterium (Ba/Bi) ratio in the gut is closely related to the body's ability to utilize prebiotics. However, how to select the type of prebiotics more beneficial for populations with specific Ba/Bi backgrounds and the underlying regulatory mechanisms remain unclear. Here, we explored the dynamics of the gut microbiota and metabolic functions during the in vitro fermentation of FOS and inulin in two different groups: Bacteroides/Bifidobacterium high (H) and Bacteroides/Bifidobacterium low (L). This study revealed that the baseline Ba/Bi ratio had a greater impact on the gut microbiota compared to prebiotic species. Noticeable differences were observed between the two groups after prebiotic intervention, with the H group being more likely to benefit from the prebiotic intervention. Compared to the L group, the H group exhibited significantly higher microbial α-diversity; the co-abundance response group 1 (CARG1) members Ruminococcus gnavus and Blautia involved in the synthesis of propionic and butyric acids increased significantly, the abundance of pathogenic bacteria such as Escherichia Shigella decreased significantly, and the ability to degrade carbohydrates and synthesize fatty acids was greater. Regression modeling showed that the key microbiota could predict the short-chain fatty acid (SCFA) levels, with FOS associated with the ecological roles of CARG2 and CARG7 and inulin associated with CARG4, which provides the basis for the use of prebiotics in nutritional applications and the stratification of populations based on pertinent microbiota profiles to explain the incongruent health effects in human intervention studies.