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

被引:165
作者
Zupancic, Margaret L. [1 ]
Cantarel, Brandi L. [1 ,3 ]
Liu, Zhenqiu [4 ]
Drabek, Elliott F. [1 ]
Ryan, Kathleen A. [2 ]
Cirimotich, Shana [1 ]
Jones, Cheron [1 ]
Knight, Rob [5 ]
Walters, William A. [6 ]
Knights, Daniel [5 ]
Mongodin, Emmanuel F. [1 ,3 ]
Horenstein, Richard B. [2 ]
Mitchell, Braxton D. [2 ]
Steinle, Nanette [2 ,6 ]
Snitker, Soren [2 ]
Shuldiner, Alan R. [2 ,7 ]
Fraser, Claire M. [1 ]
机构
[1] Univ Maryland, Sch Med, Inst Genome Sci, Baltimore, MD 21201 USA
[2] Univ Maryland, Sch Med, Program Personalized & Genom Med, Div Endocrinol Diabet & Nutr,Dept Med, Baltimore, MD 21201 USA
[3] Univ Maryland, Sch Med, Dept Microbiol & Immunol, Baltimore, MD 21201 USA
[4] Univ Maryland, Sch Med, Dept Epidemiol & Prevent Med, Baltimore, MD 21201 USA
[5] Univ Colorado, Dept Chem & Biochem, Howard Hughes Med Inst, Boulder, CO 80309 USA
[6] Univ Colorado, Dept Mol Cellular & Dev Biol, Boulder, CO 80309 USA
[7] Vet Adm Med Ctr, Baltimore, MD 21218 USA
来源
PLOS ONE | 2012年 / 7卷 / 08期
基金
美国国家卫生研究院;
关键词
OBESITY; PREVOTELLA;
D O I
10.1371/journal.pone.0043052
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:10
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共 37 条
[31]   Microbiota and SCFA in Lean and Overweight Healthy Subjects [J].
Schwiertz, Andreas ;
Taras, David ;
Schaefer, Klaus ;
Beijer, Silvia ;
Bos, Nicolaas A. ;
Donus, Christiane ;
Hardt, Philip D. .
OBESITY, 2010, 18 (01) :190-195
[32]   Dominance of Prevotella and low abundance of classical ruminal bacterial species in the bovine rumen revealed by relative quantification real-time PCR [J].
Stevenson, David M. ;
Weimer, Paul J. .
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2007, 75 (01) :165-174
[33]   Gut microbiome, obesity, and metabolic dysfunction [J].
Tilg, Herbert ;
Kaser, Arthur .
JOURNAL OF CLINICAL INVESTIGATION, 2011, 121 (06) :2126-2132
[34]   An obesity-associated gut microbiome with increased capacity for energy harvest [J].
Turnbaugh, Peter J. ;
Ley, Ruth E. ;
Mahowald, Michael A. ;
Magrini, Vincent ;
Mardis, Elaine R. ;
Gordon, Jeffrey I. .
NATURE, 2006, 444 (7122) :1027-1031
[35]   A core gut microbiome in obese and lean twins [J].
Turnbaugh, Peter J. ;
Hamady, Micah ;
Yatsunenko, Tanya ;
Cantarel, Brandi L. ;
Duncan, Alexis ;
Ley, Ruth E. ;
Sogin, Mitchell L. ;
Jones, William J. ;
Roe, Bruce A. ;
Affourtit, Jason P. ;
Egholm, Michael ;
Henrissat, Bernard ;
Heath, Andrew C. ;
Knight, Rob ;
Gordon, Jeffrey I. .
NATURE, 2009, 457 (7228) :480-U7
[36]   Evaluation of group-specific, 16S rRNA-targeted scissor probes for quantitative detection of predominant bacterial populations in dairy cattle rumen [J].
Uyeno, Y. ;
Sekiguchi, Y. ;
Tajima, K. ;
Takenaka, A. ;
Kurihara, M. ;
Kamagata, Y. .
JOURNAL OF APPLIED MICROBIOLOGY, 2007, 103 (05) :1995-2005
[37]   Functional Molecular Ecological Networks [J].
Zhou, Jizhong ;
Deng, Ye ;
Luo, Feng ;
He, Zhili ;
Tu, Qichao ;
Zhi, Xiaoyang .
MBIO, 2010, 1 (04)