The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Diet 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
The Microbial Metabolites, Short-Chain Fatty Acids, Regulate Colonic T reg Cell Homeostasis
Smith, P. M., Howitt, M. R., Panikov, N., Michaud, M., Gallini, C. A., Bohlooly-Y, M., Glickman, J. N., & Garrett, W. S. (2013) · Science · doi:10.1126/science.1241165 · Cited by 5,413
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Host-gut microbiota metabolic interactions
Nicholson, J. K., Holmes, E., Kinross, J., Burcelin, R., Gibson, G., Jia, W., & Pettersson, S. (2012) · Science · doi:10.1126/science.1223813 · Cited by 4,760
Self-citationRichness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
Self-citationFunctional interactions between the gut microbiota and host metabolism
Tremaroli, V., & Bäckhed, F. (2012) · Nature · doi:10.1038/nature11552 · Cited by 4,387
Self-citationNewgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165
Gut metagenome in European women with normal, impaired and diabetic glucose control
Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., Nielsen, J., & Bäckhed, F. (2013) · Nature · doi:10.1038/nature12198 · Cited by 3,115
Self-citationTolhurst, G., Heffron, H., Lam, Y. S., Parker, H. E., Habib, A. M., Diakogiannaki, E., Cameron, J., Grosse, J., Reimann, F., & Gribble, F. M. (2012) · Diabetes · doi:10.2337/db11-1019 · Cited by 2,404
Cited by
The Human Intestinal Microbiome in Health and Disease
Lynch, S. V., & Pedersen, O. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1600266 · Cited by 3,637
Gut microbiota in cardiovascular health and disease
Tang, W. H. W., Kitai, T., & Hazen, S. L. (2017) · Circulation Research · doi:10.1161/circresaha.117.309715 · Cited by 1,670
Gut microbiome and serum metabolome alterations in obesity and after weight-loss intervention
Liu, R., Hong, J., Xu, X., Feng, Q., Zhang, D., Gu, Y., Shi, J., Zhao, S., Liu, W., Wang, X., et al. (2017) · Nature Medicine · doi:10.1038/nm.4358 · Cited by 1,501
The Human Gut Microbiome: From Association to Modulation
Schmidt, T. S. B., Raes, J., & Bork, P. (2018) · Cell · doi:10.1016/j.cell.2018.02.044 · Cited by 845
Microbially Produced Imidazole Propionate Impairs Insulin Signaling through mTORC1
Koh, A., Molinaro, A., Ståhlman, M., Khan, M. T., Schmidt, C., Mannerås-Holm, L., Wu, H., Carreras, A., Jeong, H., Olofsson, L. E., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.055 · Cited by 824
Self-citationInfluence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer
Song, M., Chan, A. T., & Sun, J. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.06.048 · Cited by 752
Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women
Hoyles, L., Fernández-Real, J.-M., Federici, M., Serino, M., Abbott, J., Charpentier, J., Heymes, C., Luque, J. L., Anthony, E., Barton, R. H., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0061-3 · Cited by 720
Self-citationFunctional Redundancy-Induced Stability of Gut Microbiota Subjected to Disturbance
Moya, A., & Ferrer, M. (2016) · Trends in Microbiology · doi:10.1016/j.tim.2016.02.002 · Cited by 690
Diet-Microbiota Interactions Mediate Global Epigenetic Programming in Multiple Host Tissues
Krautkramer, K. A., Kreznar, J. H., Romano, K. A., Vivas, E. I., Barrett-Wilt, G. A., Rabaglia, M. E., Keller, M. P., Attie, A. D., Rey, F. E., & Denu, J. M. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.10.025 · Cited by 607
Microbiome–host systems interactions: protective effects of propionate upon the blood–brain barrier
Hoyles, L., Snelling, T., Umlai, U.-K., Nicholson, J. K., Carding, S. R., Glen, R. C., & McArthur, S. (2018) · Microbiome · doi:10.1186/s40168-018-0439-y · Cited by 591
Self-citationKristensen, N. B., Bryrup, T., Allin, K. H., Nielsen, T., Hansen, T. H., & Pedersen, O. (2016) · Genome Medicine · doi:10.1186/s13073-016-0300-5 · Cited by 561
Zheng, Y., Wang, T., Tu, X., Huang, Y., Zhang, H., Tan, D., Jiang, W., Cai, S., Zhao, P., Song, R., et al. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0650-9 · Cited by 550
Metagenome-wide association studies: fine-mining the microbiome
Wang, J., & Jia, H. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.83 · Cited by 429
The gut microbiota modulates host amino acid and glutathione metabolism in mice
Mardinoglu, A., Shoaie, S., Bergentall, M., Ghaffari, P., Zhang, C., Larsson, E., Bäckhed, F., & Nielsen, J. (2015) · Molecular Systems Biology · doi:10.15252/msb.20156487 · Cited by 383
Self-citationWang, H., Marcišauskas, S., Sánchez, B. J., Domenzain, I., Hermansson, D., Agren, R., Nielsen, J., & Kerkhoven, E. J. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006541 · Cited by 381
Self-citationNutritional preferences of human gut bacteria reveal their metabolic idiosyncrasies
Tramontano, M., Andrejev, S., Pruteanu, M., Klünemann, M., Kuhn, M., Galardini, M., Jouhten, P., Zelezniak, A., Zeller, G., Bork, P., et al. (2018) · Nature Microbiology · doi:10.1038/s41564-018-0123-9 · Cited by 295
Nielsen, J. (2017) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-061516-044757 · Cited by 252
Self-citationSeganfredo, F. B., Blume, C. A., Moehlecke, M., Giongo, A., Casagrande, D. S., Spolidoro, J. V. N., Padoin, A. V., Schaan, B. D., & Mottin, C. C. (2017) · Obesity Reviews · doi:10.1111/obr.12541 · Cited by 228
Gut Dysbiosis and Muscle Aging: Searching for Novel Targets against Sarcopenia
Picca, A., Fanelli, F., Calvani, R., Mulè, G., Pesce, V., Sisto, A., Pantanelli, C., Bernabei, R., Landi, F., & Marzetti, E. (2018) · Mediators of Inflammation · doi:10.1155/2018/7026198 · Cited by 181
Rosario, D., Bidkhori, G., Lee, S., Bedarf, J., Hildebrand, F., Le Chatelier, E., Uhlen, M., Ehrlich, S. D., Proctor, G., Wüllner, U., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108807 · Cited by 167
Applications of Genome-Scale Metabolic Models in Biotechnology and Systems Medicine
Zhang, C., & Hua, Q. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2015.00413 · Cited by 150
Lagoumintzis, G., & Patrinos, G. P. (2023) · Human Genomics · doi:10.1186/s40246-023-00561-w · Cited by 132
Modeling metabolism of the human gut microbiome
Magnúsdóttir, S., & Thiele, I. (2018) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2017.12.005 · Cited by 127
Hughes, R. L., Kable, M. E., Marco, M., & Keim, N. L. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz049 · Cited by 117
Dumas, M.-E., Rothwell, A. R., Hoyles, L., Aranias, T., Chilloux, J., Calderari, S., Noll, E. M., Péan, N., Boulangé, C. L., Blancher, C., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.06.039 · Cited by 114
“However, beyond beneficial bacteria (Dao et al., 2016; Shoaie et al., 2015), the microbiome-derived mediators promoting host health or disease remain elusive: a few microbial metabolite families (e.g., short-chain fatty acids or bile acids) are known to affect human health (Dumas et al., 2014;…”
BackgroundSelf-citationFrom taxonomy to metabolic output: what factors define gut microbiome health?
Wilmanski, T., Rappaport, N., Diener, C., Gibbons, S. M., & Price, N. D. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1907270 · Cited by 73
Shapiro, H., Suez, J., & Elinav, E. (2017) · Journal of Diabetes · doi:10.1111/1753-0407.12501 · Cited by 56
Integrated molecular approaches for fermented food microbiome research
Walsh, A. M., Leech, J., Huttenhower, C., Delhomme-Nguyen, H., Crispie, F., Chervaux, C., & Cotter, P. D. (2023) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuad001 · Cited by 56
Genome-scale models in human metabologenomics
Mardinoglu, A., & Palsson, B. Ø. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-024-00768-0 · Cited by 54
Self-citationSepich‐Poore, G. D., Guccione, C., Laplane, L., Pradeu, T., Curtius, K., & Knight, R. (2022) · BioEssays · doi:10.1002/bies.202100252 · Cited by 33
Globalizing and crowdsourcing biomedical research
Afshinnekoo, E., Ahsanuddin, S., & Mason, C. E. (2016) · British Medical Bulletin · doi:10.1093/bmb/ldw044 · Cited by 26
Metadata
- Authors
- Shoaie, S., Ghaffari, P., Kovatcheva-Datchary, P., Mardinoglu, A., Sen, P., Pujos-Guillot, E., de Wouters, T., Juste, C., Rizkalla, S., Chilloux, J., Hoyles, L., Nicholson, J. K., Dore, J., Dumas, M. E., Clement, K., Bäckhed, F., & Nielsen, J.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 22
- Issue
- 2
- Pages
- 320-331
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2169527381
- Cited by
- 420
- References
- 18
- FWCI
- 18.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.