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Wheat Bran Intake Enhances the Secretion of Bacteria-Binding IgA in a Lumen of the Intestinal Tract by Incrementing Short Chain Fatty Acid Production Through Modulation of Gut Microbiota:

NATURAL PRODUCT COMMUNICATIONS(2020)

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摘要
Wheat bran, a by-product generated in large amounts during wheat processing, consists of 36.5% to 52.4% total dietary fiber. In this study, we investigated the effects of wheat bran intake on the intestinal tract immune system through the modulation of gut microbiota. Balb/c mice were fed with AIN-93G diets containing wheat bran with 2 different particle sizes (average particle size of 53 mu m: powdered wheat bran; PWB, and 350 mu m: granulated wheat bran; WB) as dietary fibers for 4 weeks. In the wheat bran intake groups, short chain fatty acids (SCFAs: acetic acid, propionic acid, and butyric acid) in the feces were increased after the intake of both particle-size diets, especially in the PWB group, in which the increase occurred immediately. 16S rRNA-based metagenomics of the fecal microbiota revealed that the Shannon Index (beta-diversity) and weighted UniFrac distances (p-diversity) in wheat bran intake groups were significantly higher than those in the Control group, and the ratio of the certain family within the order Closfridiales in the fecal microbiota was increased after wheat bran intake, probably some including SCFA-producing bacteria. CA CRS, which is a key surface marker expressed on T follicular helper (Tfh) cells, tended to increase at the expression level in wheat bran intake groups. In addition, the amounts of secretory immunoglobulin A (IgA) and the proportion of IgA-binding bacteria in the feces from wheat bran intake groups were significantly higher than those from the Control group. These findings suggest that wheat bran may enhance Tfh-mediated IgA production in the intestine by SCFA increment through the modulation of gut microbiota and is expected to maintain and improve a healthy intestinal environment.
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关键词
wheat bran,microbiota,short chain fatty acid,16S rRNA-based metagenomics,IgA
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