Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes-Reference-Cited by-同舟云学术

Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes

Published:2011-10-07 Issue:6052 Volume:334 Page:105-108
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Wu Gary D.¹,Chen Jun²³,Hoffmann Christian⁴⁵,Bittinger Kyle⁴,Chen Ying-Yu¹,Keilbaugh Sue A.¹,Bewtra Meenakshi¹²,Knights Dan⁶,Walters William A.⁷,Knight Rob⁸⁹,Sinha Rohini⁴,Gilroy Erin²,Gupta Kernika¹⁰,Baldassano Robert¹⁰,Nessel Lisa²,Li Hongzhe²³,Bushman Frederic D.⁴,Lewis James D.¹²³

Affiliation:

1. Division of Gastroenterology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

2. Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

3. Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

4. Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

5. Instituto de Ciências Biológicas, Universidade Federal de Goiás Goiania, GO, 74001-970, Brazil.

6. Department of Computer Science, University of Colorado, Boulder, CO 80309, USA.

7. Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA.

8. Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309, USA.

9. Howard Hughes Medical Institute, University of Colorado, Boulder, CO 80309, USA.

10. Division of Gastroenterology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA.

Abstract

The basic composition of the human gut microbiome is influenced by long-term diet: high fat and protein versus high fiber.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference12 articles.

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4. Arumugam M. et al.. Nature 473 174 (2011).

5. Sampling and pyrosequencing methods for characterizing bacterial communities in the human gut using 16S sequence tags

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