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Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes.

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Title: Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes.
Authors: Wu, Gary D., Chen, Jun, Hoffmann, Christian, Bittinger, Kyle, Ying-Yu Chen, Keilbaugh, Sue A., Bewtra, Meenakshi, Knights, Dan, Walters, William A., Knight, Rob, Sinha, Rohini, Gilroy, Erin, Gupta, Kernika, Baldassano, Robert, Nessel, Lisa, Hongzhe Li, Bushman, Frederic D., Lewis, James D.
Source: Science (pre-March 2025). 10/7/2011, Vol. 334 Issue 6052, p105-108. 4p.
Subjects: Gut microbiota, Nutrition, Diet in disease, Recombinant DNA, Nucleotide sequence, Enterotypes, Research methodology, Classification of microorganisms, Feces examination
Abstract: Diet strongly affects human health, partly by modulating gut microbiome composition. We used diet inventories and 165 rDNA sequencing to characterize fecal samples from 98 individuals. Fecal communities clustered into enterotypes distinguished primarily by levels of Bacteroides and Prevotella. Enterotypes were strongly associated with long-term diets, particularly protein and animal fat (Bacteroides) versus carbohydrates (Prevotella). A controlled-feeding study of 10 subjects showed that microbiome composition changed detectably within 24 hours of initiating a high-fat/low-fiber or low-fat/high-fiber diet, but that enterotype identity remained stable during the 10-day study. Thus, alternative enterotype states are associated with long-term diet. [ABSTRACT FROM AUTHOR]
Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes.
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Gary+D%2E%22">Wu, Gary D.</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Jun%22">Chen, Jun</searchLink><br /><searchLink fieldCode="AR" term="%22Hoffmann%2C+Christian%22">Hoffmann, Christian</searchLink><br /><searchLink fieldCode="AR" term="%22Bittinger%2C+Kyle%22">Bittinger, Kyle</searchLink><br /><searchLink fieldCode="AR" term="%22Ying-Yu+Chen%22">Ying-Yu Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Keilbaugh%2C+Sue+A%2E%22">Keilbaugh, Sue A.</searchLink><br /><searchLink fieldCode="AR" term="%22Bewtra%2C+Meenakshi%22">Bewtra, Meenakshi</searchLink><br /><searchLink fieldCode="AR" term="%22Knights%2C+Dan%22">Knights, Dan</searchLink><br /><searchLink fieldCode="AR" term="%22Walters%2C+William+A%2E%22">Walters, William A.</searchLink><br /><searchLink fieldCode="AR" term="%22Knight%2C+Rob%22">Knight, Rob</searchLink><br /><searchLink fieldCode="AR" term="%22Sinha%2C+Rohini%22">Sinha, Rohini</searchLink><br /><searchLink fieldCode="AR" term="%22Gilroy%2C+Erin%22">Gilroy, Erin</searchLink><br /><searchLink fieldCode="AR" term="%22Gupta%2C+Kernika%22">Gupta, Kernika</searchLink><br /><searchLink fieldCode="AR" term="%22Baldassano%2C+Robert%22">Baldassano, Robert</searchLink><br /><searchLink fieldCode="AR" term="%22Nessel%2C+Lisa%22">Nessel, Lisa</searchLink><br /><searchLink fieldCode="AR" term="%22Hongzhe+Li%22">Hongzhe Li</searchLink><br /><searchLink fieldCode="AR" term="%22Bushman%2C+Frederic+D%2E%22">Bushman, Frederic D.</searchLink><br /><searchLink fieldCode="AR" term="%22Lewis%2C+James+D%2E%22">Lewis, James D.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 10/7/2011, Vol. 334 Issue 6052, p105-108. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Gut+microbiota%22">Gut microbiota</searchLink><br /><searchLink fieldCode="DE" term="%22Nutrition%22">Nutrition</searchLink><br /><searchLink fieldCode="DE" term="%22Diet+in+disease%22">Diet in disease</searchLink><br /><searchLink fieldCode="DE" term="%22Recombinant+DNA%22">Recombinant DNA</searchLink><br /><searchLink fieldCode="DE" term="%22Nucleotide+sequence%22">Nucleotide sequence</searchLink><br /><searchLink fieldCode="DE" term="%22Enterotypes%22">Enterotypes</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+of+microorganisms%22">Classification of microorganisms</searchLink><br /><searchLink fieldCode="DE" term="%22Feces+examination%22">Feces examination</searchLink>
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  Label: Abstract
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  Data: Diet strongly affects human health, partly by modulating gut microbiome composition. We used diet inventories and 165 rDNA sequencing to characterize fecal samples from 98 individuals. Fecal communities clustered into enterotypes distinguished primarily by levels of Bacteroides and Prevotella. Enterotypes were strongly associated with long-term diets, particularly protein and animal fat (Bacteroides) versus carbohydrates (Prevotella). A controlled-feeding study of 10 subjects showed that microbiome composition changed detectably within 24 hours of initiating a high-fat/low-fiber or low-fat/high-fiber diet, but that enterotype identity remained stable during the 10-day study. Thus, alternative enterotype states are associated with long-term diet. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=67121231
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        Value: 10.1126/science.1208344
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        Text: English
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        PageCount: 4
        StartPage: 105
    Subjects:
      – SubjectFull: Gut microbiota
        Type: general
      – SubjectFull: Nutrition
        Type: general
      – SubjectFull: Diet in disease
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      – SubjectFull: Recombinant DNA
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      – SubjectFull: Nucleotide sequence
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      – SubjectFull: Enterotypes
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      – SubjectFull: Research methodology
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      – SubjectFull: Feces examination
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