Antibiotic perturbation of the murine gut microbiome enhances the adiposity, insulin resistance, and liver disease associated with high-fat diet

被引:146
作者
Mahana, Douglas [1 ]
Trent, Chad M. [2 ]
Kurtz, Zachary D. [1 ]
Bokulich, Nicholas A. [2 ]
Battaglia, Thomas [2 ]
Chung, Jennifer [2 ]
Mueller, Christian L. [4 ,5 ,6 ]
Li, Huilin [3 ]
Bonneau, Richard A. [1 ,4 ,5 ,6 ]
Blaser, Martin J. [1 ,2 ,7 ]
机构
[1] NYU Langone Med Ctr, Dept Microbiol, New York, NY 10016 USA
[2] NYU Langone Med Ctr, Dept Med, New York, NY 10016 USA
[3] NYU Langone Med Ctr, Dept Populat Hlth, New York, NY 10016 USA
[4] NYU, Courant Inst Math Sci, Dept Biol, 251 Mercer St, New York, NY 10003 USA
[5] NYU, Courant Inst Math Sci, Dept Comp Sci, 251 Mercer St, New York, NY 10003 USA
[6] Simons Ctr Data Anal, New York, NY 10010 USA
[7] New York Harbor Vet Affairs Med Ctr, New York, NY USA
来源
GENOME MEDICINE | 2016年 / 8卷
基金
美国国家卫生研究院;
关键词
INTESTINAL MICROBIOTA; METABOLIC SYNDROME; INDUCED OBESITY; DIVERSITY; EXERCISE; HUMANS; ALTER;
D O I
10.1186/s13073-016-0297-9
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Obesity, type 2 diabetes, and non-alcoholic fatty liver disease (NAFLD) are serious health concerns, especially in Western populations. Antibiotic exposure and high-fat diet (HFD) are important and modifiable factors that may contribute to these diseases. Methods: To investigate the relationship of antibiotic exposure with microbiome perturbations in a murine model of growth promotion, C57BL/6 mice received lifelong sub-therapeutic antibiotic treatment (STAT), or not (control), and were fed HFD starting at 13 weeks. To characterize microbiota changes caused by STAT, the V4 region of the 16S rRNA gene was examined from collected fecal samples and analyzed. Results: In this model, which included HFD, STAT mice developed increased weight and fat mass compared to controls. Although results in males and females were not identical, insulin resistance and NAFLD were more severe in the STAT mice. Fecal microbiota from STAT mice were distinct from controls. Compared with controls, STAT exposure led to early conserved diet-independent microbiota changes indicative of an immature microbial community. Key taxa were identified as STAT-specific and several were found to be predictive of disease. Inferred network models showed topological shifts concurrent with growth promotion and suggest the presence of keystone species. Conclusions: These studies form the basis for new models of type 2 diabetes and NAFLD that involve microbiome perturbation.
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页数:20
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