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P068 PSC - IBD is associated with different microbiota composition as compared to UC

L. Bajer1, J. Mrazek2, M. Kverka3, J. Dvorak3, M. Kostovcik3, H. Tlaskalova - Hogenova3, J. Brezina1, J. Spicak1, P. Drastich*1

1Instutute of clinical and experimental medicine, Hepatogastroenterology, Prague, Czech Republic, 2The Academy of Sciences of the Czech Republic, Institute of Animal Physiology and Genetics, Prague, Czech Republic, 3The Academy of Sciences of the Czech Republic, Institute of Microbiology, Prague, Czech Republic

Background

Primary sclerosing cholangitis (PSC) is a progressive disease of the biliary tree characterised by inflammation, fibrosis and stenoses. Inflammatory bowel disease (IBD) in patients with primary sclerosing cholangitis (PSC - IBD) is considered to be a distinct phenotype of IBD with a multi - factorial origin where microbiota most likely have a substantial role. In our pilot study, our aim was to compare the microbiota composition in PSC and/or IBD groups with ulcerative colitis (UC) and healthy controls.

Methods

Total number of 15 individuals was used in presented study: 4 control healthy samples, 4 UC patients, 4 PSC-IBD patients and 3 PSC (without IBD).

Fecal microbiota composition was assesed by sequencing of variable V4 and V5 region of 16S rRNA gene on Personal Genome Machine platform (Fisher Scientific). Library preparation, template preparation and template sequencing was performed according to manufacturer's protocols. Obtained data were filtered by quality and length and processed for alpha and beta diversity analyses using QIIME software package.

Results

Following significant changes in bacterial numbers were observed among tested groups:

PSC versus PSC-IBD:

Higher Bifidobacterium sp. (18 vs 2.71 %), Lachnospira (4.58 vs 0,68 %) and Dorea sp (5.7 vs 1.55 %) and lower Enterococcus sp. (0 vs 9.14 %), Faecallibacterium sp. (1.31 vs 4.12 %) and Prevotella/Paraprevotella sp. (0 vs 9.71 %) numbers.

PSC-IBD versus UC:

Higher Bacteroides sp. (17.13 vs. 4.86 %), Enterococcus sp. (9.14 vs 0 %) and Prevotella/Paraprevotella sp. (9.71 vs 2.13 %) and lower Bifidobacterium sp (2.71 vs 12.95 %) and Faecallibacterium sp. (4.12 vs 16.4 %) numbers.

The clustering of samples according to the type is stronger with the unweighted UniFrac metric than with the weighted metric, suggesting that differences in community membership (rather than community structure) discriminate better among groups.

Conclusion

Members of genus Faecallibacterium and Prevotella showed highest variations with regards to PSC /PSC-IBD/UC groups comparison. Control samples showed higher species richness than patients´ samples. Our data suggest that microbiota composition differs among patients with PSC (without IBD), PSC - IBD and UC. Presented data should be considered as preliminary, as more samples are needed for statistical analyses to support detected observations.