@entity31 and irritable bowel XXXX exhibit distinct abnormalities of the gut microbiota.

@entity1 @entity1944 @entity3395 @entity31 @entity14567 @entity14695 @entity1744
BACKGROUND: Previous studies suggest a link between gut microbiota and the development of @entity31 ( @entity31 ) and @entity1744 ( @entity1744 ). Our aim was to investigate any quantitative differences in faecal bacterial compositions in @entity31 and @entity1744 @entity1 compared to healthy controls, and to identify individual bacterial species that contribute to these differences. METHODS: Faecal microbiota of 13 @entity31 @entity1 , 11 @entity1744 @entity1 and 22 healthy volunteers were analysed by PCR-Denaturing Gradient Gel Electrophoresis (DGGE) using universal and @entity3395 specific primers. The data obtained were normalized using in-house developed statistical method and interrogated by multivariate approaches. The differentiated bands were excised and identified by sequencing the V3 region of the 16S rRNA genes. RESULTS: Band profiles revealed that number of predominant faecal bacteria were significantly different between @entity31 , @entity1744 and control group ( @entity14567 ). By assessing the mean band numbers in @entity31 (37    5) and @entity1744 (39    6), compared to the controls (45    3), a significant decrease in bacterial species is suggested (p = 0.01). There were no significant differences between @entity1744 and @entity31 . Biodiversity of the bacterial species was significantly lower in @entity31 (  = 2.94,    = 0.29) and @entity1744 @entity1 (  = 2.90,    = 0.38) than controls (  = 3.25,    = 0.16; p = 0.01). Moreover, similarity indices revealed greater biological variability of predominant bacteria in @entity31 and @entity1744 compared to the controls (median Dice coefficients 76.1% (IQR 70.9 - 83.1), 73.8% (IQR 67.0 - 77.5) and 82.9% (IQR 79.1 - 86.7) respectively). DNA sequencing of discriminating bands suggest that the presence of @entity3395 , B. ovatus, @entity14695 , and Parabacteroides sp. in healthy volunteers distinguishes them from @entity1744 and @entity31 @entity1 . DGGE profiles of @entity3395 species revealed a decrease of @entity3395 community in @entity31 relative to @entity1744 and controls. CONCLUSION: Molecular profiling of faecal bacteria revealed @entity1944 in @entity31 and @entity1744 @entity1 , while different patterns of @entity3395 species loss in particular, were associated with @entity31 and @entity1744 .
