Figures & data
Figure 1 The characterization of MCM-41, SBA-15, and DMSN. (A, C and E) The representative SEM images and (B, D and F) TEM images of MCM-41, SBA-15, and DMSN. (G) The nitrogen adsorption−desorption isotherms and (H) the pore size distribution were measured according to the BET & BJH model. (I) The particle size and (J) zeta potential were measured.
![Figure 1 The characterization of MCM-41, SBA-15, and DMSN. (A, C and E) The representative SEM images and (B, D and F) TEM images of MCM-41, SBA-15, and DMSN. (G) The nitrogen adsorption−desorption isotherms and (H) the pore size distribution were measured according to the BET & BJH model. (I) The particle size and (J) zeta potential were measured.](/cms/asset/346fa399-2a3e-4e89-a83a-3682a4f87a4b/dijn_a_295575_f0001_c.jpg)
Figure 2 The potential pro-inflammation effects after various treatments within 7 days. (A) The body weight changes and the serum level of (B) TNF-α and (C) IL-1β were measured. (n=10, mean ± SD). (D–G) The histology examination of colon via H&E staining. Black arrow indicated the potential site of inflammation.
![Figure 2 The potential pro-inflammation effects after various treatments within 7 days. (A) The body weight changes and the serum level of (B) TNF-α and (C) IL-1β were measured. (n=10, mean ± SD). (D–G) The histology examination of colon via H&E staining. Black arrow indicated the potential site of inflammation.](/cms/asset/f8df25a4-ecf6-47c6-b668-c4ec8c7e35c4/dijn_a_295575_f0002_c.jpg)
Figure 3 The diversity of gut microbiota. Results were shown as violin plot, the width of the shaded area represents the proportion of the data. (A) The Chao1 index; (B) ACE index; (C) The Shannon index; (D) Simpson index at day 3 and day 7. (n=10, mean ± SD).
![Figure 3 The diversity of gut microbiota. Results were shown as violin plot, the width of the shaded area represents the proportion of the data. (A) The Chao1 index; (B) ACE index; (C) The Shannon index; (D) Simpson index at day 3 and day 7. (n=10, mean ± SD).](/cms/asset/70e65527-1be9-453a-87d6-f95a6cccb0fa/dijn_a_295575_f0003_c.jpg)
Figure 4 The differences of microbiota between groups. The Circos graphs at day 3 and day7, while the left semicircle represents the phyla composition of each group, and the right semicircle indicates the distribution of each phylum in the different groups. (n=10).
![Figure 4 The differences of microbiota between groups. The Circos graphs at day 3 and day7, while the left semicircle represents the phyla composition of each group, and the right semicircle indicates the distribution of each phylum in the different groups. (n=10).](/cms/asset/462fa0f8-58cb-431c-b626-661817f9a715/dijn_a_295575_f0004_c.jpg)
Figure 6 Specific taxa detection. Bacterial differences between (A) groups at day 7 were detected by LEfSe and (B) species with LDA score (log 10) >3.0 were plotted (n=10).
![Figure 6 Specific taxa detection. Bacterial differences between (A) groups at day 7 were detected by LEfSe and (B) species with LDA score (log 10) >3.0 were plotted (n=10).](/cms/asset/ff0148e6-06ca-4829-b94c-200936ae4b61/dijn_a_295575_f0006_c.jpg)
Figure 7 Multiple groups comparison at day 7. Specific phylum One-way ANOVA bar plot. (A) Verrucomicrobia: p value of Control and SBA-15<0.01, Control and MCM-41<0.01, Control and DMSN<0.01. (B) Candidatus Saccharibacteria: p value of MCM-41 and SBA-15<0.01, MCM-41 and DMSN<0.05, MCM-41 and Control<0.05.
![Figure 7 Multiple groups comparison at day 7. Specific phylum One-way ANOVA bar plot. (A) Verrucomicrobia: p value of Control and SBA-15<0.01, Control and MCM-41<0.01, Control and DMSN<0.01. (B) Candidatus Saccharibacteria: p value of MCM-41 and SBA-15<0.01, MCM-41 and DMSN<0.05, MCM-41 and Control<0.05.](/cms/asset/766408e7-4630-4b83-a37d-e004f2bd2c03/dijn_a_295575_f0007_c.jpg)