Can your microbiome tell you what to eat?
Open accessAbstract
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
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
It has been proposed that gut bacteria can influence neurobehavior including host appetite for food.
“It has been proposed that gut bacteria can influence neurobehavior including host appetite for food (135, 137, 182), so it is not implausible to predict associations between microbiota and all substances passing through the gut.”
From A Biopsychosocial Overview of the Opioid Crisis: Considering Nutrition and Gastrointestinal Health (2019) · cites this paper as [135]
Cites
1 retracted
RETRACTED: Primary Prevention of Cardiovascular Disease with a Mediterranean Diet
Estruch, R., Ros, E., Salas-Salvadó, J., Covas, M.-I., Corella, D., Arós, F., Gómez-Gracia, E., Ruiz-Gutiérrez, V., Fiol, M., Lapetra, J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1200303 · Cited by 4,257 · see citing works
RetractedDiet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100 · see citing works
Linking long-term dietary patterns with gut microbial enterotypes
Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y.-Y., Keilbaugh, S. A., Bewtra, M., Knights, D., Walters, W. A., Knight, R., et al. (2011) · Science · doi:10.1126/science.1208344 · Cited by 6,513 · see citing works
Self-citationHuman Genetics Shape the Gut Microbiome
Goodrich, J. K., Waters, J. L., Poole, A. C., Sutter, J. L., Koren, O., Blekhman, R., Beaumont, M., Van Treuren, W., Knight, R., Bell, J. T., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.053 · Cited by 3,164 · see citing works
Self-citationPersonalized nutrition by prediction of glycemic responses
Zeevi, D., Korem, T., Zmora, N., Israeli, D., Rothschild, D., Weinberger, A., Ben-Yacov, O., Lador, D., Avnit-Sagi, T., Lotan-Pompan, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.001 · Cited by 2,929 · see citing works
The Response to Long-Term Overfeeding in Identical Twins
Bouchard, C., Tremblay, A., Després, J.-P., Nadeau, A., Lupien, P. J., Thériault, G., Dussault, J., Moorjani, S., Pinault, S., & Fournier, G. (1990) · New England Journal of Medicine · doi:10.1056/nejm199005243222101 · Cited by 1,278 · see citing works
Impact of Dietary Polyphenols on Carbohydrate Metabolism
Hanhineva, K., Törrönen, R., Bondia‐Pons, I., Pekkinen, J., Kolehmainen, M., Mykkänen, H. M., & Poutanen, K. S. (2010) · International Journal of Molecular Sciences · doi:10.3390/ijms11041365 · Cited by 1,167 · see citing works
Food Preference Patterns in a UK Twin Cohort
Pallister, T., Sharafi, M., Lachance, G., Pirastu, N., Mohney, R. P., MacGregor, A. J., Feskens, E. J. M., Duffy, V. B., Spector, T. D., & Menni, C. (2015) · Twin Research and Human Genetics · doi:10.1017/thg.2015.69 · Cited by 90 · see citing works
Self-citationThe glycemic index of pigmented potatoes is related to their polyphenol content
Ramdath, D. D., Padhi, E. M. T., Hawke, A., Sivaramalingam, T., & Tsao, R. (2014) · Food & Function · doi:10.1039/c3fo60395d · Cited by 64 · see citing works
Food systems approach to cancer prevention
Vanamala, J. (2015) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2015.1028023 · Cited by 47 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Evolution, human-microbe interactions, and life history plasticity
Rook, G., Bäckhed, F., Levin, B. R., McFall-Ngai, M. J., & McLean, A. R. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30566-4 · Cited by 246 · see citing works
A Biopsychosocial Overview of the Opioid Crisis: Considering Nutrition and Gastrointestinal Health
Wiss, D. A. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00193 · Cited by 41 · see citing works
Microbiome restoration diet improves digestion, cognition and physical and emotional wellbeing
Lawrence, K., & Hyde, J. (2017) · PLOS ONE · doi:10.1371/journal.pone.0179017 · Cited by 34 · see citing works
Retracted
- 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
- bronze
- doi.org
- Licence
- 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
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review