Cited by 20Gut microbiota and healthNutrition, Genetics, and DiseaseGastrointestinal motility and disorders

Can your microbiome tell you what to eat?

Open access
Vanamala, Jairam K.P., Knight, Rob, Spector, Timothy D.·2015·Cell Metabolism

Abstract

Prospects for using the gut microbiome for personalized medicine are substantial since the gut microbiome is known to modulate metabolism and varies substantially among individuals. Zeevi et al. (2015) demonstrate that the gut microbiota can be used to predict individualized blood glucose responses to particular foods, which differ between individuals.

Integrity signals

Registry

Crossref · 10.1016/j.cmet.2015.11.009

Cites

10 of 10 references verified0 citation errors · 0 not checkable

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1 retracted

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Authors
Vanamala, J. K. P., Knight, R., & Spector, T. D.
Affiliations
  • Pennsylvania State University (US)
  • University of California San Diego (US)
Corresponding author
Knight, Rob
Venue
Cell Metabolism
Publisher
Elsevier BV
Published
2015-12
Volume
22
Issue
6
Pages
960-961
ISSN
1550-4131 (ISSN-L)
OpenAlex
W2186650314
Cited by
20
References
10
Citations by year
2026: 1 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 3 · 2018: 3 · 2017: 4 · 2016: 1
FWCI
1.16
Type
journal article
Language
en
Open access
Locations
  • Cell Metabolism (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion)
Funders
National Institute for Health and Care Research (NF-SI-0514-10027)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
Keywords
gut microbiota, personalized nutrition, glycemic response, personalized medicine, interindividual variability
MeSH terms
Algorithms, Blood Glucose, Diabetes Mellitus, Type 2, Humans, Postprandial Period

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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