Relationship Between Microbiota of the Colonic Mucosa vs Feces and Symptoms, Colonic Transit, and @entity577 Production in Female XXXX With Chronic Constipation.

@entity1 @entity11884 @entity577 @entity1142 @entity1049
BACKGROUND _ AIMS: In fecal samples from @entity1 with chronic @entity1142 , the microbiota differs from that of healthy subjects. However, the profiles of fecal microbiota only partially replicate those of the mucosal microbiota. It is not clear whether these differences are caused by variations in diet or colonic transit, or are associated with @entity577 production (measured by breath tests). We compared the colonic mucosal and fecal microbiota in @entity1 with chronic @entity1142 and in healthy subjects to investigate the relationships between microbiota and other parameters. METHODS: Sigmoid colonic mucosal and fecal microbiota samples were collected from 25 healthy @entity1 (controls) and 25 @entity1 with chronic @entity1142 and evaluated by 16S ribosomal RNA gene sequencing (average, 49,186 reads/sample). We assessed associations between microbiota (overall composition and operational taxonomic units) and demographic variables, diet, @entity1142 status, colonic transit, and @entity577 production (measured in breath samples after oral @entity11884 intake). RESULTS: Fourteen @entity1 with chronic @entity1142 had slow colonic transit. The profile of the @entity1049 differed between constipated @entity1 and controls (P < .05). The overall composition of the @entity1049 was associated with @entity1142 , independent of colonic transit (P < .05), and discriminated between @entity1 with @entity1142 and controls with 94% accuracy. Genera from Bacteroidetes were more abundant in the @entity1049 of @entity1 with @entity1142 . The profile of the fecal microbiota was associated with colonic transit before adjusting for @entity1142 , age, body mass index, and diet; genera from Firmicutes (Faecalibacterium, Lactococcus, and Roseburia) correlated with faster colonic transit. @entity577 production was associated with the composition of the fecal microbiota, but not with @entity1142 or colonic transit. CONCLUSIONS: After adjusting for diet and colonic transit, the profile of the microbiota in the colonic mucosa could discriminate @entity1 with @entity1142 from healthy individuals. The profile of the fecal microbiota was associated with colonic transit and @entity577 production (measured in breath), but not @entity1142 .
