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. 2024 May 10:11:1304045.
doi: 10.3389/fnut.2024.1304045. eCollection 2024.

Supplementation with soluble or insoluble rice-bran fibers increases short-chain fatty acid producing bacteria in the gut microbiota in vitro

Affiliations

Supplementation with soluble or insoluble rice-bran fibers increases short-chain fatty acid producing bacteria in the gut microbiota in vitro

Karley K Mahalak et al. Front Nutr. .

Abstract

Introduction: Studies have shown that a diet high in fiber and prebiotics has a positive impact on human health due largely to the fermentation of these compounds by the gut microbiota. One underutilized source of fiber may be rice bran, a waste product of rice processing that is used most frequently as an additive to livestock feed but may be a good source of fibers and other phenolic compounds as a human diet supplement. Previous studies focused on specific compounds extracted from rice bran showed that soluble fibers extracted from rice bran can improve glucose response and reduce weight gain in mouse models. However, less is known about changes in the human gut microbiota in response to regular rice bran consumption.

Methods: In this study, we used a Simulator of the Human Intestinal Microbial Ecology (SHIME®) to cultivate the human gut microbiota of 3 different donors in conditions containing either soluble or insoluble fiber fractions from rice bran. Using 16S rRNA amplicon sequencing and targeted metabolomics via Gas Chromatography-Mass Spectrometry, we explored how gut microbial communities developed provided different supplemental fiber sources.

Results: We found that insoluble and soluble fiber fractions increased short-chain fatty acid production, indicating that both fractions were fermented. However, there were differences in response between donors, for example the gut microbiota from donor 1 increased acetic acid production with both fiber types compared with control; whereas for donors 2 and 3, butanoic acid production increased with ISF and SF supplementation. Both soluble and insoluble rice bran fractions increased the abundance of Bifidobacterium and Lachnospiraceae taxa.

Discussion: Overall, analysis of the effect of soluble and insoluble rice bran fractions on the human in vitro gut microbiota and the metabolites produced revealed individually variant responses to these prebiotics.

Keywords: Bifidobacterium; gut microbiota; prebiotics; rice bran; short-chain fatty acids.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Diagram of Experimental set-up. Each colon has a stomach/small intestine reactor (ST/SI), a proximal colon (PC), and a distal colon (DC). Each colon was also given different treatments: soluble fraction of rice bran (SF), insoluble fraction of rice bran (ISF), and the control. Contents move sequentially through the colon as shown by the arrows.
Figure 2
Figure 2
Alpha diversity analysis reveals significant changes with ISF and SF treatment. Donors 1–3, and luminal/mucosal phases are separated for this analysis. For all measures, PC and DC differ significantly. (A) Number of observed ASVs, for luminal and mucosal samples, ISF and SF differ significantly; (B) Shannon’s diversity index, for mucosal samples SF and ISF differ significantly; (C) Faith’s phylogenetic diversity, the luminal phase ISF differs significantly from control and SF, for mucosal phase ISF is significantly different from control. Significance was determined using Tukey’s multiple comparison of means. * = q < 0.05; ** = q < 0.01; *** = q < 0.001; **** = q < 0.0001.
Figure 3
Figure 3
Weighted UniFrac distance shows shifts in the community. (A) Proximal lumen; (B) Distal lumen; (C) Proximal mucosa; (D) Distal mucosa. PERMANOVA analysis was used to determine significance. Control treatment differed significantly from ISF (F = 1.0078; q < 0.05) and SF (F = 0.6998; q < 0.05); ISF and SF did not differ significantly from each other regardless of region.
Figure 4
Figure 4
Phyla relative abundance of the luminal and mucosal communities. (A) Luminal community; (B) mucosal community. Statistical significance (q < 0.05) was determined via ANOVA.
Figure 5
Figure 5
Relative abundance of 3 key taxa at the family level. Relative abundance of Bifidobacteriaceae, Lachnospiraceae, and Lactobacillaceae in each community. Significance determined via Tukey’s multiple comparison of means and shown in Supplementary Table S1.
Figure 6
Figure 6
Relative abundance of significant taxa. Colors are as found in previous figures: yellow indicates control, blue indicates ISF, green indicates SF. Significance was determined using ANOVA and is shown in Supplementary Table S2. (A) Bifidobacteriaceae Bifidobacterium; (B) Ruminococcaceae Faecalibacterium; (C) Fusobacteriaceae Fusobacterium; (D) Bacteroidaceae Bacteroides; (E) Lachnospiraceae Blautia; (F) Lachnospiraceae Clostridium; (G) Lactobacillaceae; (H) Lachnospiraceae Roseburia. * = q < 0.05; ** = q < 0.01; *** = q < 0.001; **** = q < 0.0001.
Figure 7
Figure 7
SCFA Concentration. Colors are as found in previous figures: yellow indicates control, blue indicates ISF, and green indicates SF. Significance was determined using Tukey’s multiple comparisons of means (q < 0.05) shown in Supplementary Table S3. * = q < 0.05; ** = q < 0.01; *** = q < 0.001; **** = q < 0.0001.
Figure 8
Figure 8
Simplified cellulose metabolism pathway. This figure illustrates a part of the cellulose metabolism pathway by the gut microbiota, using EC numbers to identify genes associated with enzymes involved in the process that are significantly changed with either ISF or SF supplementation. Heatmaps demonstrate specific taxa that are associated with each enzyme and may contribute to its activity.

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Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the USDA In-House Project 8072-41000-108-00-D, “In Vitro Human Intestinal Microbial Ecosystems: Effect of Diet.” This research used resources provided by the SCINet project of the USDA Agricultural Research Service, ARS project number 0500-00093-001-11-D.

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