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Analysis of the Gut Microbiota in the Old Order Amish and Its Relation to the Metabolic Syndrome

Overview of attention for article published in PLOS ONE, August 2012
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Title
Analysis of the Gut Microbiota in the Old Order Amish and Its Relation to the Metabolic Syndrome
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043052
Pubmed ID
Authors

Margaret L. Zupancic, Brandi L. Cantarel, Zhenqiu Liu, Elliott F. Drabek, Kathleen A. Ryan, Shana Cirimotich, Cheron Jones, Rob Knight, William A. Walters, Daniel Knights, Emmanuel F. Mongodin, Richard B. Horenstein, Braxton D. Mitchell, Nanette Steinle, Soren Snitker, Alan R. Shuldiner, Claire M. Fraser

Abstract

Obesity has been linked to the human gut microbiota; however, the contribution of gut bacterial species to the obese phenotype remains controversial because of conflicting results from studies in different populations. To explore the possible dysbiosis of gut microbiota in obesity and its metabolic complications, we studied men and women over a range of body mass indices from the Old Order Amish sect, a culturally homogeneous Caucasian population of Central European ancestry. We characterized the gut microbiota in 310 subjects by deep pyrosequencing of bar-coded PCR amplicons from the V1-V3 region of the 16S rRNA gene. Three communities of interacting bacteria were identified in the gut microbiota, analogous to previously identified gut enterotypes. Neither BMI nor any metabolic syndrome trait was associated with a particular gut community. Network analysis identified twenty-two bacterial species and four OTUs that were either positively or inversely correlated with metabolic syndrome traits, suggesting that certain members of the gut microbiota may play a role in these metabolic derangements.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
France 2 <1%
Canada 2 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
New Zealand 1 <1%
Australia 1 <1%
Belgium 1 <1%
Other 1 <1%
Unknown 350 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 86 23%
Student > Ph. D. Student 69 19%
Student > Master 47 13%
Student > Bachelor 44 12%
Student > Doctoral Student 21 6%
Other 64 17%
Unknown 35 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 155 42%
Medicine and Dentistry 63 17%
Biochemistry, Genetics and Molecular Biology 35 10%
Immunology and Microbiology 23 6%
Computer Science 9 2%
Other 41 11%
Unknown 40 11%