Supplemental Data Figure Legends Supplemental Figure 1. Fecal

advertisement

Supplemental Data

Figure Legends

Supplemental Figure 1.

Fecal transplantation alters the microbiota in the ileum and colon of the chimeric mice . The abundance of several microbes in the ileum (A) and colon (B) was examined before and after fecal transplantation by qPCR using specific primer sets (n = 6-8 mice/group).

Supplemental Figure 2. qPCR confirms the 454 pyrosequencing data . The abundance of several microbes found to be altered through 454 sequencing analysis was confirmed through qPCR analysis using specific primers to bacterial groups identified. Bacterial groups were assessed in NOR and NOD mice (A, ileum. B, colon) and in the antibiotics treated mice (C, ileum. D, colon). (n = 5-8 mice/group).

Supplemental Figure 3. Diabetogenic microbes induced by antibiotics do not induce barrier dysfunction.

Levels of FITC-dextran were measured in the sera 4-hours post oral-gavage to measure intestinal permeability. Fecal transplanted NOD mice carrying NOR microbiota was found to improve barrier function B. Both neomycin and vancomycin treatment improved barrier function (n=4-5).

Table S1 : Bacterial primers used for qPCR

Materials and Methods

DNA extraction and Real-Time PCR Analysis: DNA was extracted from tissue segments of the colon and ileum from mice that were 11-20 weeks old and qPCR was performed as described

(Gibson et al 2015).

Primers are listed in table S1.

FITC-dextran barrier function assay : The FITC-dextran (FD4) assay for barrier function was performed

as previously described (Lee et al 2010). 11 week old mice received 150 µl of 80 mg/mL FITC-dextran

by oral gavage. 4 hours later, mice were anaesthetized and blood was collected by cardiac puncture and fluorescence was measured in plasma.

Statistical analysis: Graphing and statistical analysis was performed using Graphpad Prism. For comparisons between > 2 groups, *<0.05, **<0.01 and ***<0.0001 by one way ANOVA with

Tukey’s post-hoc test for parametric data and Kruskal-Wallis test with Dunn’s post-hoc test for non-parametric data.

1

Results

Fecal transplanted microbial analysis

To examine the microbiota in fecal transplanted mice, we examined particular microbes before and after transplantation by qPCR (supplemental Figure 1). Several microbes were transferred to the NOD mice that received NOR transplants including Akkermansia muciniphila , Desulfovibrio spp., Enterobacteriaceae in the ileum and A. muciniphila and Enterobacteriaceae in the colon. In addition, microbes were lost in the NOR mice that received NOD transplants including

Segmented Filamentous bacteria in the ileum and Bacteroides acidifaciens in the colon. Since we saw differences in insulitis between the NOD and NOR transplanted mice, these results suggest this is due to particular microbes or microbial products that had been transplanted from the stool gavages.

Microbial Analysis

Due to limitations inherent in broad sequence analysis and to support our conclusions regarding the microbiome comparison based on our 454 pyrosequencing data, we confirmed our data using qPCR. Our qPCR data is consistent with % abundance data observed using high throughput sequencing (Supplemental Figure 2).

Barrier dysfunction is not required for the accelerated diabetes

Our group has previously shown that NOD mice exhibit dysfunctional intestinal barriers prior to diabetes onset compared to other mouse strains that are resistant to diabetes (Lee et al 2010).

Moreover intestinal barrier dysfunction is also seen humans with T1D (Bosi et al 2006, Sapone et al 2006). To determine if barrier function was related to the microbiota in the NOD and NOR mice, we examined intestinal permeability to FITC-dextran in the fecal transplanted chimeric mice (supplemental Figure 3A). The NOR

H

+ NOD

M

had more FITC-dextran translocating to their blood compared to NOR

H

+ NOR

M

indicating the NOD microbiota increased intestinal barrier dysfunction. Likewise, the NOD

H

+ NOR

M

displayed less FITC-dextran in their blood compared to NOD

H

+ NOD

M

indicating the NOR microbiota could protect against intestinal barrier dysfunction. These results support the hypothesis that NOD mice harbor pathogenic microbes capable of disrupting the normal intestinal barrier, potentially driving inflammation of the pancreas. However, when we assessed the function of the intestinal barrier in the antibiotic-

2

treated NOD mice, we found that both vancomycin and neomycin treated mice had significantly improved barrier dysfunction compared to untreated NOD mice, despite their accelerated diabetes (supplemental Figure 3B). We conclude from our study that although barrier dysfunction often correlates with insulitis/diabetes development, it is not a necessary factor, since although antibiotic treatment reduced barrier dysfunction, it led to accelerated diabetes development.

References

Baker J, Brown K, Rajendiran E, Yip A, DeCoffe D, Dai C et al (2012a). Medicinal lavender modulates the enteric microbiota to protect against Citrobacter rodentium-induced colitis. Am J Physiol Gastrointest

Liver Physiol 303: G825-836.

Barman M, Unold D, Shifley K, Amir E, Hung K, Bos N et al (2008). Enteric salmonellosis disrupts the microbial ecology of the murine gastrointestinal tract. Infect Immun 76: 907-915.

Bosi E, Molteni L, Radaelli MG, Folini L, Fermo I, Bazzigaluppi E et al (2006). Increased intestinal permeability precedes clinical onset of type 1 diabetes. Diabetologia 49: 2824-2827.

Collado MC, Derrien M, Isolauri E, de Vos WM, Salminen S (2007). Intestinal integrity and Akkermansia muciniphila, a mucin-degrading member of the intestinal microbiota present in infants, adults, and the elderly. Appl Environ Microbiol 73: 7767-7770.

Fite A, Macfarlane GT, Cummings JH, Hopkins MJ, Kong SC, Furrie E et al (2004). Identification and quantitation of mucosal and faecal desulfovibrios using real time polymerase chain reaction. Gut 53:

523-529.

Gibson D, Gill S, Brown K, Tasnim N, Ghosh S, Innis S et al (2015). Maternal exposure to fish oil primes offspring to harbor intestinal pathobionts associated with altered immune cell balance. Gut Microbes: 1-

9.

Guo X, Xia X, Tang R, Zhou J, Zhao H, Wang K (2008). Development of a real-time PCR method for

Firmicutes and Bacteroidetes in faeces and its application to quantify intestinal population of obese and lean pigs. Lett Appl Microbiol 47: 367-373.

Larsen N, Vogensen FK, van den Berg FW, Nielsen DS, Andreasen AS, Pedersen BK et al (2010). Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PLoS One 5: e9085.

3

Lee AS, Gibson DL, Zhang Y, Sham HP, Vallance BA, Dutz JP (2010). Gut barrier disruption by an enteric bacterial pathogen accelerates insulitis in NOD mice. Diabetologia 53: 741-748.

Matsuki T, Watanabe K, Fujimoto J, Miyamoto Y, Takada T, Matsumoto K et al (2002). Development of

16S rRNA-gene-targeted group-specific primers for the detection and identification of predominant bacteria in human feces. Appl Environ Microbiol 68: 5445-5451.

Matsuki T, Watanabe K, Fujimoto J, Takada T, Tanaka R (2004). Use of 16S rRNA gene-targeted groupspecific primers for real-time PCR analysis of predominant bacteria in human feces. Appl Environ

Microbiol 70: 7220-7228.

Png CW, Linden SK, Gilshenan KS, Zoetendal EG, McSweeney CS, Sly LI et al (2010). Mucolytic bacteria with increased prevalence in IBD mucosa augment in vitro utilization of mucin by other bacteria. Am J

Gastroenterol 105: 2420-2428.

Ramirez-Farias C, Slezak K, Fuller Z, Duncan A, Holtrop G, Louis P (2009). Effect of inulin on the human gut microbiota: stimulation of Bifidobacterium adolescentis and Faecalibacterium prausnitzii. Br J Nutr

101: 541-550.

Sapone A, de Magistris L, Pietzak M, Clemente MG, Tripathi A, Cucca F et al (2006). Zonulin upregulation is associated with increased gut permeability in subjects with type 1 diabetes and their relatives.

Diabetes 55: 1443-1449.

Sokol H, Seksik P, Furet JP, Firmesse O, Nion-Larmurier I, Beaugerie L et al (2009). Low counts of

Faecalibacterium prausnitzii in colitis microbiota. Inflamm Bowel Dis 15: 1183-1189.

Suzuki MT, Taylor LT, DeLong EF (2000). Quantitative analysis of small-subunit rRNA genes in mixed microbial populations via 5'-nuclease assays. Appl Environ Microbiol 66: 4605-4614.

Tilsala-Timisjarvi A, Alatossava T (1997). Development of oligonucleotide primers from the 16S-23S rRNA intergenic sequences for identifying different dairy and probiotic lactic acid bacteria by PCR. Int J Food

Microbiol 35: 49-56.

Walter J, Hertel C, Tannock GW, Lis CM, Munro K, Hammes WP (2001). Detection of Lactobacillus,

Pediococcus, Leuconostoc, and Weissella species in human feces by using group-specific PCR primers and denaturing gradient gel electrophoresis. Appl Environ Microbiol 67: 2578-2585.

4

Download