| Literature DB >> 34171188 |
Belén Callejón-Leblic1, Marta Selma-Royo2, María Carmen Collado2, Nieves Abril3, Tamara García-Barrera1.
Abstract
Selenium (Se) is a micronutrient involved in important health functions and it has been suggested to shape gut microbiota. Limited information on Se assimilation by gut microbes and the possible link with selenoproteins are available. For this purpose, conventional and gut microbiota-depleted BALB/c mice were fed a Se-supplemented diet. The absolute quantification of mice plasma selenoproteins was performed for the first time using heteroatom-tagged proteomics. The gut microbiota profile was analyzed by 16S rRNA gene sequencing. Se-supplementation modulated the concentration of the antioxidant glutathione peroxidase and the Se-transporter selenoalbumin as well as the metal homeostasis, being influenced by microbiota disruption, which suggests an intertwined mechanism. Se also modulated microbiota diversity and richness and increased the relative abundance of some health-relevant taxa (e.g., families Christensenellaceae, Ruminococcaceae, and Lactobacillus genus). This study demonstrated the potential beneficial effects of Se on gut microbiota, especially after antibiotic-treatment and the first associations between specific bacteria and plasma selenoproteins.Entities:
Keywords: ICP-MS; chemical speciation; heteroatom-tagged proteomics; microbiota; selenoproteins
Mesh:
Substances:
Year: 2021 PMID: 34171188 PMCID: PMC9161447 DOI: 10.1021/acs.jafc.1c02622
Source DB: PubMed Journal: J Agric Food Chem ISSN: 0021-8561 Impact factor: 5.895
Figure 1Experimental design showing the studied groups.
Figure 2Mass flow chromatograms corresponding to (a) BCR-637 fortified with 50 ng g–1 of selenite and (b) plasma mice after speciation of selenoproteins.
Average Concentration of Selenium in Selenoproteins, Total Selenium, and Fold Changesa
| selenoproteins | |||||
|---|---|---|---|---|---|
| groups | GPx | selenometabolites | SEPP1 | SeAlb | total Se |
| Concentration (ng
of Selenium per g of Plasma)
± S.E.M ( | |||||
| C | 15.4 ± 1.8 | <LOD | 381.1 ± 11.7 | 27.8 ± 2.4 | 434.5 ± 14.3 |
| C–Se | 28.3 ± 2.3 | <LOD | 414.0 ± 22.0 | 49.3 ± 5.7 | 509.0 ± 28.6 |
| Abx | 22.3 ± 1.1 | <LOD | 401.2 ± 17.7 | 50.7 ± 3.0 | 483.2 ± 17.7 |
| Abx-Se | 28.0 ± 1.5 | <LOD | 398.6 ± 18.3 | 46.8 ± 4.1 | 489.3 ± 18.8 |
| Fold Change | |||||
| C–Se/C | 1.84 ( | 1.09 | 1.77 ( | 1.16 | |
| Abx/C | 1.44 ( | 1.05 | 1.82 ( | 1.12 | |
| Abx-Se/C | 1.82 ( | 1.05 | 1.68 ( | 1.12 | |
| Abx-Se/Abx | 1.26 | 0.99 | 0.92 | 1.00 | |
LOD: detection limit of selenometabolites 0.5 ng Se g–1; p: p-value from ANOVA followed by Tukey Test (only significant p-values are shown in the table). p < 0.05 was considered statistically significant.
Figure 3Model map showing the mechanism underlying the potential beneficial effects of Se in the conditions with and without antibiotics.
Metal Profile in Mice Plasmaa
| average
concentration ± S.E.M | fold changes | |||||||
|---|---|---|---|---|---|---|---|---|
| elements | C | C–Se | Abx | Abx-Se | C–Se/C | Abx-Se/C | Abx-Se/C–Se | Abx-Se/Abx |
| Al | 25.4 ± 2.9 | 39.0 ± 4.3 | 24.2 ± 2.9 | 23.4 ± 2.7 | 1.54 ( | 0.92 | 0.60 ( | 0.97 |
| V | 10.4 ± 0.8 | 13.6 ± 1.4 | 9.7 ± 0.7 | 9.1 ± 1.1 | 1.31 | 0.87 | 0.67 ( | 0.94 |
| Cr | 7.6 ± 0.7 | 11.1 ± 1.7 | 7.7 ± 0.5 | 7.3 ± 1.1 | 1.45 | 0.95 | 0.66 | 0.94 |
| Mn | 5.6 ± 0.5 | 8.2 ± 1.8 | 7.3 ± 1.1 | 7.4 ± 1.9 | 1.45 | 1.32 | 0.91 | 1.02 |
| Fe | 7448 ± 1264 | 6504 ± 1412 | 6099 ± 946 | 6108 ± 937 | 0.87 | 0.82 | 0.94 | 1.00 |
| Co | 6.2 ± 0.4 | 6.2 ± 0.5 | 5.3 ± 0.4 | 4.7 ± 0.5 | 1.01 | 0.76 ( | 0.75 ( | 0.89 |
| Ni | 4.5 ± 0.9 | 6.8 ± 1.3 | 3.2 ± 0.4 | 4.2 ± 0.9 | 1.51 | 0.92 | 0.61 | 1.28 |
| Cu | 649 ± 24 | 684 ± 33 | 602 ± 15 | 584 ± 29 | 1.05 | 0.90 | 0.85 ( | 0.97 |
| Zn | 1031 ± 40 | 1071 ± 38 | 1014 ± 46 | 1213 ± 74 | 1.04 | 1.18 ( | 1.13 | 1.20 ( |
| As | 23.3 ± 3.6 | 22.2 ± 4.1 | 20.3 ± 3.0 | 19.7 ± 2.5 | 0.95 | 0.84 | 0.89 | 0.97 |
| Mo | 29.6 ± 1.6 | 45.4 ± 5.4 | 39.8 ± 7.5 | 33.4 ± 2.9 | 1.53 ( | 1.13 | 0.74 | 0.84 |
| Cd | 0.12 ± 0.04 | 0.03 ± 0.01 | 0.09 ± 0.03 | 0.02 ± 0.01 | 0.22 | 0.16 | 0.74 | 0.20 |
| Sb | 6.7 ± 0.5 | 9.2 ± 1.1 | 6.1 ± 0.5 | 6.7 ± 0.5 | 1.36 | 1.00 | 0.73 | 1.09 |
| Tl | 0.51 ± 0.08 | 0.70 ± 0.12 | 0.49 ± 0.08 | 0.37 ± 0.10 | 1.37 | 0.72 | 0.52 | 0.74 |
| Pb | 2.2 ± 0.2 | 2.9 ± 0.6 | 2.7 ± 0.6 | 2.3 ± 0.4 | 1.34 | 1.03 | 0.77 | 0.85 |
Concentrations, fold changes, p-values from ANOVA (only significant p-values are shown in the table), and standard error of the mean (S.E.M) of the elements. p < 0.05 was considered statistically significant.
Figure 4Impact of Se-supplementation on the microbiota of control mice and microbiota-depleted mice. (a) PCoA of bacterial beta-diversity based on the Bray Curtis distance (p-value = 0.0003). (b) Multivariate RDA showed significant microbiota among groups (p-value = 0.001). Box plots showing alpha diversity; (c) Chao1 richness estimator and (d) Shannon Index. (e) LDA LEfSe plot of taxonomic biomarkers identified in the gut microbiota of different groups at family levels. The LDA score threshold was 3. (f) Boxplots of relative abundance of the phylum.
Figure 5Spearman correlation matrix heatmaps for mice plasma selenoproteins and gut microbiota genus in the (a) Abx group, (b) Abx-Se group, (c) C group, and (d) C–Se group.