Your browser doesn't support javascript.
loading
: 20 | 50 | 100
1 - 4 de 4
2.
PLoS One ; 8(10): e78017, 2013.
Article En | MEDLINE | ID: mdl-24147109

OBJECTIVE: Intestinal proteases carry out a variety of functions in the gastrointestinal (GI) tract. Studies have reported that elevated enteric proteases in patients with GI disease can alter intestinal physiology, however the origin (human vs. microbial) of elevated proteases in patients with GI disease is unclear. AIM: The aim of this study was to investigate the association between protease activity and the microbiota in human fecal samples. DESIGN: In order to capture a wide range of fecal protease (FP) activity stool samples were collected from 30 IBS patients and 24 healthy controls. The intestinal microbiota was characterized using 454 high throughput pyro-sequencing of the 16S rRNA gene. The composition and diversity of microbial communities were determined and compared using the Quantitative Insights Into Microbial Ecology (QIIME) pipeline. FP activity levels were determined using an ELISA-based method. FP activity was ranked and top and bottom quartiles (n=13 per quartile) were identified as having high and low FP activity, respectively. RESULTS: The overall diversity of the intestinal microbiota displayed significant clustering separation (p = 0.001) between samples with high vs. low FP activity. The Lactobacillales, Lachnospiraceae, and Streptococcaceae groups were positively associated with FP activity across the entire study population, whilst the Ruminococcaceae family and an unclassified Coriobacteriales family were negatively associated with FP activity. CONCLUSIONS: These data demonstrate significant associations between specific intestinal bacterial groups and fecal protease activity and provide a basis for further causative studies investigating the role of enteric microbes and GI diseases.


Feces/enzymology , Intestines/microbiology , Peptide Hydrolases/metabolism , Adult , DNA, Bacterial/genetics , Feces/microbiology , Female , Humans , Lactobacillales/genetics , Lactobacillales/physiology , Male , RNA, Ribosomal, 16S/genetics , Streptococcaceae/genetics , Streptococcaceae/physiology
3.
Gut Microbes ; 4(4): 316-24, 2013.
Article En | MEDLINE | ID: mdl-23822920

Inflammatory bowel diseases (IBD) result from dysregulated immune responses toward microbial and perhaps other luminal antigens in a genetically susceptible host, and are associated with altered composition and diversity of the intestinal microbiota. The interleukin 10-deficient (IL-10 (-/-) ) mouse has been widely used to model human IBD; however the specific alterations that occur in the intestinal microbiota of this mouse model during the onset of colonic inflammation have not yet been defined. The aim of our study was to define the changes in diversity and composition that occur in the intestinal microbiota of IL-10 (-/-) mice during the onset and progression of colonic inflammation. We used high throughput sequencing of the 16S rRNA gene to characterize the diversity and composition of formerly germ-free, wild-type and IL-10 (-/-) mice associated with the same intestinal microbiota over time. Following two weeks of colonization with a specific pathogen-free (SPF) microbiota we observed a significant increase in the diversity and richness of the intestinal microbiota of wild-type mice. In contrast, a progressive decrease in diversity and richness was observed at three and four weeks in IL-10 (-/-) mice. This decrease in diversity and richness was mirrored by an increase in Proteobacteria and Escherichia coli in IL-10 (-/-) mice. An increase in E. coli was also observed in conventionally raised IL-10 (-/-) mice at the point of colonic inflammation. Our data reports the sequential changes in diversity and composition of the intestinal microbiota in an immune-mediated mouse model that may help provide insights into the primary vs. secondary role of dysbiosis in human IBD patients.


Biota , Gastrointestinal Tract/microbiology , Inflammatory Bowel Diseases/immunology , Inflammatory Bowel Diseases/microbiology , Interleukin-10/deficiency , Animals , Disease Models, Animal , Mice , Mice, Knockout
4.
PLoS One ; 7(10): e46953, 2012.
Article En | MEDLINE | ID: mdl-23071673

The handling and treatment of biological samples is critical when characterizing the composition of the intestinal microbiota between different ecological niches or diseases. Specifically, exposure of fecal samples to room temperature or long term storage in deep freezing conditions may alter the composition of the microbiota. Thus, we stored fecal samples at room temperature and monitored the stability of the microbiota over twenty four hours. We also investigated the stability of the microbiota in fecal samples during a six month storage period at -80°C. As the stability of the fecal microbiota may be affected by intestinal disease, we analyzed two healthy controls and two patients with irritable bowel syndrome (IBS). We used high-throughput pyrosequencing of the 16S rRNA gene to characterize the microbiota in fecal samples stored at room temperature or -80°C at six and seven time points, respectively. The composition of microbial communities in IBS patients and healthy controls were determined and compared using the Quantitative Insights Into Microbial Ecology (QIIME) pipeline. The composition of the microbiota in fecal samples stored for different lengths of time at room temperature or -80°C clustered strongly based on the host each sample originated from. Our data demonstrates that fecal samples exposed to room or deep freezing temperatures for up to twenty four hours and six months, respectively, exhibit a microbial composition and diversity that shares more identity with its host of origin than any other sample.


Feces/microbiology , Metagenome/genetics , Sequence Analysis, DNA/methods , Specimen Handling/methods , Bacteria/classification , Bacteria/genetics , Bacteria/growth & development , Biodiversity , DNA, Bacterial/chemistry , DNA, Bacterial/genetics , Freezing , Genetic Variation , Humans , Intestines/microbiology , Irritable Bowel Syndrome/microbiology , RNA, Ribosomal, 16S/genetics , Time Factors
...