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. 2021 Jul 12:12:695155.
doi: 10.3389/fmicb.2021.695155. eCollection 2021.

Resveratrol Attenuates Diquat-Induced Oxidative Stress by Regulating Gut Microbiota and Metabolome Characteristics in Piglets

Affiliations

Resveratrol Attenuates Diquat-Induced Oxidative Stress by Regulating Gut Microbiota and Metabolome Characteristics in Piglets

Qingyao Fu et al. Front Microbiol. .

Abstract

Previous studies have shown that dietary resveratrol (RES) reduces diarrhea and attenuates oxidative stress in piglets challenged with diquat. However, the effect of dietary resveratrol on the gut microbiota of these piglets, as well as the potential relationships between intestinal microflora and metabolites, remain unclear. Here, 16S ribosomal DNA sequencing and metabolome analyses were performed to investigate the effect of RES on the gut microbiota and metabolome of diquat-challenged piglets. A total of 18 weaned piglets (aged 28 ± 2 days) were divided into the control group (basal diet), diquat group (basal diet + diquat challenge), and RES group (basal diet containing 90 mg/kg RES + diquat challenge). Compared with the control group, piglets in the diquat group showed enriched relative abundance of the phyla Firmicutes and Actinobacteria, the genus Ruminococcaceae UCG-005, and members of the Eubacterium coprostanoligenes group. Noteworthy, RES supplementation significantly reduced the levels of these microorganisms. In contrast, the relative abundance of some beneficial bacterial species in the RES group, such as the genera Clostridium sensu stricto 1 and Lachnospiraceae unclassified were significantly higher than in the diquat and control groups. Metabolomic analysis indicated that some metabolites, including indole-3-carbinol, 5-hydroxyindole-3-acetic acid, and uridine, were significantly upregulated upon RES supplementation. In particular, the relative abundance of uridine, indole, and alpha- and beta-dihydroresveratrol was significantly higher in the RES group than in the control group. Moreover, most gut bacterial genera were found to be highly correlated with altered gut microbiota-related metabolites. These findings suggest that dietary supplementation with resveratrol may alter the composition and metabolites of colonic microbiota in diquat-challenged piglets, which provides important insights into the use of resveratrol as a feed additive for gut microbial regulation in piglets with inflammatory and oxidative stress-associated disorders.

Keywords: metabolome; microbiota; oxidative stress; piglet; resveratrol.

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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
Gut microbiome diversity analysis. (A) Venn diagram shows the unique and shared OTUs in the RES and diquat groups (n = 6). (B) Principal component analysis (PCA) of bacterial community structures in different groups; each represented by one color (n = 6). RES, colonic microbiota of the supplementation resveratrol group; diquat, colonic microbiota of the diquat-challenged group. The same as fellow.
FIGURE 2
FIGURE 2
Gut microbiome composition and abundance analysis. (A,B) Histogram of the top 30 at phyla (A) and genera (B) in each group.
FIGURE 3
FIGURE 3
Gut microbiome significantly different microbe analysis. (A,B) Significantly different microbes (A) and the cladogram (B) by LEfSe analysis. (C) Barplot shows microorganisms with significant differences at genus level between diquat and RES groups.
FIGURE 4
FIGURE 4
Gut microbiome comparison of PICRUSt-predicted functional pathway analysis. (A,B) Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt2), which will be used to analysis of the difference of COG (A) and KO (B) metabolic pathway between diquat and RES groups at the second level.
FIGURE 5
FIGURE 5
Positive model (A,C) and negative model (B,D). PLS-DA scores: The abscissa represents the first principal component PC1, and the ordinate represents the second principal component PC2. Replacement test diagram: R2 stands for model verification, and the Y matrix of original classification and N times of different arrangement are linearly regressed with R2Y and Q2Y, and the intercept values of regression line and y-axis are R2 and Q2, respectively; used to measure whether the model is over-fitted.
FIGURE 6
FIGURE 6
(A) Positive model; (B) negative model. (A) The correlation between positive ion metabolites and differential flora; (B) the correlation between negative ion metabolites and differential flora. *p-value < 0.05; **p-value < 0.01.

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