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Open AccessJournal ArticleDOI

Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases

TLDR
Patient stratification by GI microbiota provides further evidence that CD represents a spectrum of disease states and suggests that treatment of some forms of IBD may be facilitated by redress of the detected microbiological imbalances.
Abstract
The two primary human inflammatory bowel diseases, Crohn's disease (CD) and ulcerative colitis (UC), are idiopathic relapsing disorders characterized by chronic inflammation of the intestinal tract. Although several lines of reasoning suggest that gastrointestinal (GI) microbes influence inflammatory bowel disease (IBD) pathogenesis, the types of microbes involved have not been adequately described. Here we report the results of a culture-independent rRNA sequence analysis of GI tissue samples obtained from CD and UC patients, as well as non-IBD controls. Specimens were obtained through surgery from a variety of intestinal sites and included both pathologically normal and abnormal states. Our results provide comprehensive molecular-based analysis of the microbiota of the human small intestine. Comparison of clone libraries reveals statistically significant differences between the microbiotas of CD and UC patients and those of non-IBD controls. Significantly, our results indicate that a subset of CD and UC samples contained abnormal GI microbiotas, characterized by depletion of commensal bacteria, notably members of the phyla Firmicutes and Bacteroidetes. Patient stratification by GI microbiota provides further evidence that CD represents a spectrum of disease states and suggests that treatment of some forms of IBD may be facilitated by redress of the detected microbiological imbalances.

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Journal ArticleDOI

A core gut microbiome in obese and lean twins

TL;DR: The faecal microbial communities of adult female monozygotic and dizygotic twin pairs concordant for leanness or obesity, and their mothers are characterized to address how host genotype, environmental exposure and host adiposity influence the gut microbiome.
Journal ArticleDOI

The gut microbiota shapes intestinal immune responses during health and disease

TL;DR: Findings indicating that developmental aspects of the adaptive immune system are influenced by bacterial colonization of the gut are discussed, and the possibility that the mammalian immune system, which seems to be designed to control microorganisms, is in fact controlled by microorganisms is raised.
Journal ArticleDOI

Diversity, stability and resilience of the human gut microbiota

TL;DR: Viewing the microbiota from an ecological perspective could provide insight into how to promote health by targeting this microbial community in clinical treatments.
References
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Book

Finding Groups in Data: An Introduction to Cluster Analysis

TL;DR: An electrical signal transmission system, applicable to the transmission of signals from trackside hot box detector equipment for railroad locomotives and rolling stock, wherein a basic pulse train is transmitted whereof the pulses are of a selected first amplitude and represent a train axle count.
Journal ArticleDOI

An obesity-associated gut microbiome with increased capacity for energy harvest

TL;DR: It is demonstrated through metagenomic and biochemical analyses that changes in the relative abundance of the Bacteroidetes and Firmicutes affect the metabolic potential of the mouse gut microbiota and indicates that the obese microbiome has an increased capacity to harvest energy from the diet.
Journal ArticleDOI

Microbial ecology: Human gut microbes associated with obesity

TL;DR: It is shown that the relative proportion of Bacteroidetes is decreased in obese people by comparison with lean people, and that this proportion increases with weight loss on two types of low-calorie diet.
Journal ArticleDOI

Finding Groups in Data: An Introduction to Chster Analysis

TL;DR: This book make understandable the cluster analysis is based notion of starsmodern treatment, which efficiently finds accurate clusters in data and discusses various types of study the user set explicitly but also proposes another.
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