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. 2012 Oct;6(10):1858-68.
doi: 10.1038/ismej.2012.43. Epub 2012 May 24.

Increased rectal microbial richness is associated with the presence of colorectal adenomas in humans

Nina Sanapareddy  1 , Ryan M Legge, Biljana Jovov, Amber McCoy, Lauren Burcal, Felix Araujo-Perez, Thomas A Randall, Joseph Galanko, Andrew Benson, Robert S Sandler, John F Rawls, Zaid Abdo, Anthony A Fodor, Temitope O Keku
Affiliations

Increased rectal microbial richness is associated with the presence of colorectal adenomas in humans

Nina Sanapareddy et al. ISME J. 2012 Oct.

Abstract

Differences in the composition of the gut microbial community have been associated with diseases such as obesity, Crohn's disease, ulcerative colitis and colorectal cancer (CRC). We used 454 titanium pyrosequencing of the V1-V2 region of the 16S rRNA gene to characterize adherent bacterial communities in mucosal biopsy samples from 33 subjects with adenomas and 38 subjects without adenomas (controls). Biopsy samples from subjects with adenomas had greater numbers of bacteria from 87 taxa than controls; only 5 taxa were more abundant in control samples. The magnitude of the differences in the distal gut microbiota between patients with adenomas and controls was more pronounced than that of any other clinical parameters including obesity, diet or family history of CRC. This suggests that sequence analysis of the microbiota could be used to identify patients at risk for developing adenomas.

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Figures

Figure 1
Figure 1
Richness (left panel) and evenness (right panel) for the OTUs observed in our study for cases (n=33) vs controls (n=38). The x axis is proportional to the number of subjects in each category. By the Wilcoxon test, cases had a significantly higher richness (P=0.0061) than controls, but there was no significant difference in evenness (P=0.36).
Figure 2
Figure 2
PCA on the normalized log abundances of taxa at the OTU level. Only the 371 OTUs that are present in at least 25% of all samples were included in the analysis. Component 1 explains 18.81% of all variance while component 2 explains 6.76% (red=case; green=control).
Figure 3
Figure 3
Maximum likelihood tree generated from the 371 OTUs in which the OTU was observed in at least 25% of our patients. The tree was generated using the RaxXML EPA server http://i12k-exelixis3.informatik.tu-muenchen.de/raxml (see Materials and methods). Branches are colored based on RDP Phylum level assignments. Red-colored branches represent OTUs significantly different between cases and controls within each Phylum (at 10% FDR).
Figure 4
Figure 4
Richness (left panel) and evenness (right panel) at the OTU level, in normal (n=27) vs overweight (n=25) vs obese (n=18) BMI categories. No significant difference was seen by the Kruskal–Wallis test in richness (P=0.21) or evenness (P=0.42) between the three categories.
Figure 5
Figure 5
Richness (left panel) and evenness (right panel) at the OTU level, in low-risk (n=25) vs medium-risk (n=16) vs high-risk (n=30) WHR categories. No significant difference was seen by the Kruskal–Wallis test in richness (P=0.26) or evenness (P=0.76) between the three categories.
See this image and copyright information in PMC

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