Microbial Enterotypes, Inferred by the Prevotella-to-Bacteroides Ratio, Remained Stable during a 6-Month Randomized Controlled Diet Intervention with the New Nordic Diet
Open accessAbstract
It has been suggested that the human gut microbiota can be divided into enterotypes based on the abundance of specific bacterial groups; however, the biological significance and stability of these enterotypes remain unresolved. Here, we demonstrated that subjects (n = 62) 18 to 65 years old with central obesity and components of metabolic syndrome could be grouped into two discrete groups simply by their relative abundance of Prevotella spp. divided by Bacteroides spp. (P/B ratio) obtained by quantitative PCR analysis. Furthermore, we showed that these groups remained stable during a 6-month, controlled dietary intervention, where the effect of consuming a diet in accord with the new Nordic diet (NND) recommendations as opposed to consuming the average Danish diet (ADD) on the gut microbiota was investigated. In this study, subjects (with and without stratification according to P/B ratio) did not reveal significant changes in 35 selected bacterial taxa quantified by quantitative PCR (ADD compared to NND) resulting from the dietary interventions. However, we found higher total plasma cholesterol within the high-P/B group than in the low-P/B group after the intervention. We propose that stratification of humans based simply on their P/B ratio could allow better assessment of possible effects of interventions on the gut microbiota and physiological biomarkers.
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
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.
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?
Three distinct enterotypes have been proposed, each characterized by relatively high levels of a single microbial genus: Bacteroides, Prevotella, or Ruminococcus.
“three distinct enterotypes have been proposed, each of which is characterized by relatively high levels of a single microbial genus: Bacteroides., Prevotella.or Ruminococcus.(Arumugam et al., 2011;Roager et al., 2014).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Roager et al., 2014
The Prevotella:Bacteroides ratio in these subjects was higher than that reported for elderly Irish, American and Danish adults.
“Remarkably, the Prevotella:Bacteroides ratio in these subjects was higher than reported for elderly Irish subjects, 12 American 11 and Danish adults, 65”
From High-level adherence to a Mediterranean diet beneficially impacts the gut microbiota and associated metabolome (2016) · cites this paper as [65]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Home visits: a strategy to improve newborn survival - Authors' reply
(2008) · Americanae (AECID Library) · doi:10.1016/s0140 · Cited by 22,524 · see citing works
Primer3—new capabilities and interfaces
Untergasser, A., Cutcutache, I., Kõressaar, T., Ye, J., Faircloth, B., Remm, M., & Rozen, S. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks596 · Cited by 9,165 · see citing works
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785 · see citing works
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815 · see citing works
Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548 · 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
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579 · see citing works
The gut microbiota shapes intestinal immune responses during health and disease
Round, J. L., & Mazmanian, S. K. (2009) · Nature Reviews Immunology · doi:10.1038/nri2515 · Cited by 5,029 · see citing works
Functional interactions between the gut microbiota and host metabolism
Tremaroli, V., & Bäckhed, F. (2012) · Nature · doi:10.1038/nature11552 · Cited by 4,387 · see citing works
Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis
Koeth, R. A., Wang, Z., Levison, B. S., Buffa, J. A., Org, E., Sheehy, B. T., Britt, E. B., Fu, X., Wu, Y., Li, L., et al. (2013) · Nature Medicine · doi:10.1038/nm.3145 · Cited by 4,386 · see citing works
Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data
Ramakers, C. R. B., Ruijter, J. M., Deprez, R. H. L., & Moorman, A. F. M. (2003) · Neuroscience Letters · doi:10.1016/s0304-3940(02)01423-4 · Cited by 3,718 · see citing works
Gut microbiota composition correlates with diet and health in the elderly
Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314 · see citing works
Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data
Ruijter, J. M., Ramakers, C., Hoogaars, W. M. H., Karlen, Y., Bakker, O., van den Hoff, M. J. B., & Moorman, A. F. M. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp045 · Cited by 3,043 · see citing works
Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites
Wikoff, W. R., Anfora, A. T., Liu, J., Schultz, P. G., Lesley, S. A., Peters, E. C., & Siuzdak, G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812874106 · Cited by 2,677 · see citing works
The Long-Term Stability of the Human Gut Microbiota
Faith, J. J., Guruge, J. L., Charbonneau, M., Subramanian, S., Seedorf, H., Goodman, A. L., Clemente, J. C., Knight, R., Heath, A. C., Leibel, R. L., et al. (2013) · Science · doi:10.1126/science.1237439 · Cited by 2,058 · see citing works
Unravelling the effects of the environment and host genotype on the gut microbiome
Spor, A., Koren, O., & Ley, R. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2540 · Cited by 1,509 · see citing works
Microbes in Gastrointestinal Health and Disease
Neish, A. S. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.10.080 · Cited by 1,388 · see citing works
Duncan, S. H., Belenguer, A., Holtrop, G., Johnstone, A. M., Flint, H. J., & Lobley, G. E. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.02340-06 · Cited by 941 · see citing works
Santacruz, A., Collado, M. C., García-Valdés, L., Segura, M. T., Martín-Lagos, J. A., Anjos, T., Martí-Romero, M., Lopez, R. M., Florido, J., Campoy, C., et al. (2010) · British Journal of Nutrition · doi:10.1017/s0007114510000176 · Cited by 868 · see citing works
Russell, W. R., Gratz, S. W., Duncan, S. H., Holtrop, G., Ince, J., Scobbie, L., Duncan, G., Johnstone, A. M., Lobley, G. E., Wallace, R. J., et al. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.002188 · Cited by 775 · see citing works
fdrtool: a versatile R package for estimating local and tail area-based false discovery rates
Strimmer, K. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn209 · Cited by 723 · see citing works
Ou, J., Carbonero, F., Zoetendal, E. G., DeLany, J. P., Wang, M., Newton, K., Gaskins, H. R., & O’Keefe, S. J. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.056689 · Cited by 646 · see citing works
Rabot, S., Membrez, M., Bruneau, A., Gérard, P., Harach, T., Moser, M., Raymond, F., Mansourian, R., & Chou, C. J. (2010) · The FASEB Journal · doi:10.1096/fj.10-164921 · Cited by 610 · cited 1× · see citing works
“It is known that the gut microbiota affects the blood metabolome (42), and it has been shown in mice that the gut microbiota affects the lipid and cholesterol metabolism, thereby changing the level of cholesterol in serum (43, 44).”
BackgroundRabot, S., Membrez, M., Bruneau, A., Gérard, P., Harach, T., Moser, M., Raymond, F., Mansourian, R., & Chou, C. J. (2010) · The FASEB Journal · doi:10.1096/fj.10.164921 · Cited by 610 · see citing works
The gut microbiota modulates host energy and lipid metabolism in mice
Velagapudi, V. R., Hezaveh, R., Reigstad, C. S., Gopalacharyulu, P., Yetukuri, L., Islam, S., Felin, J., Perkins, R., Borén, J., Orešič, M., et al. (2010) · Journal of Lipid Research · doi:10.1194/jlr.m002774 · Cited by 589 · see citing works
A Core Human Microbiome as Viewed through 16S rRNA Sequence Clusters
Huse, S. M., Ye, Y., Zhou, Y., & Fodor, A. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034242 · Cited by 572 · see citing works
Koren, O., Knights, D., Gonzalez, A., Waldron, L., Segata, N., Knight, R., Huttenhower, C., & Ley, R. E. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002863 · Cited by 508 · see citing works
Ancestral Resurrection and Directed Evolution of Fungal Mesozoic Laccases
Agans, R., Gordon, A., Kramer, D. L., Pérez-Burillo, S., Rufián‐Henares, J. Á., & Paliy, O. (2018) · Institutional Repository of the University of Granada (University of Granada) · doi:10.1128/aem · Cited by 459 · see citing works
Long‐term monitoring of the human intestinal microbiota composition
Rajilić-Stojanović, M. D., Heilig, H. G. H. J., Tims, S., Zoetendal, E. G., & de Vos, W. M. (2012) · Environmental Microbiology · doi:10.1111/1462-2920.12023 · Cited by 268 · see citing works
Categorization of the gut microbiota: enterotypes or gradients?
Jeffery, I. B., Claesson, M. J., O'Toole, P. W., & Shanahan, F. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2859 · Cited by 238 · see citing works
Guidelines for the New Nordic Diet
Mithril, C. E., Dragsted, L. O., Meyer, C., Blauert, E., Holt, M. K., & Astrup, A. V. (2012) · Public Health Nutrition · doi:10.1017/s136898001100351x · Cited by 236 · see citing works
Kim, M., Hwang, S., Park, E., & Bae, J. (2013) · Environmental Microbiology Reports · doi:10.1111/1758-2229.12079 · Cited by 220 · see citing works
Poulsen, S. K., Due, A., Jordy, A. B., Kiens, B., Stark, K. D., Stender, S., Holst, C., Astrup, A. V., & Larsen, T. M. (2013) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.069393 · Cited by 214 · see citing works
Self-citationMartínez, I., Muller, C. E., & Walter, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069621 · Cited by 181 · see citing works
Diet, the human gut microbiota, and IBD
Wu, G. D., Bushmanc, F. D., & Lewis, J. D. (2013) · Anaerobe · doi:10.1016/j.anaerobe.2013.03.011 · Cited by 140 · see citing works
Bergström, A., Licht, T. R., Wilcks, A., Andersen, J. B., Schmidt, L. R., Grønlund, H. A., Vigsnæs, L. K., Michaelsen, K. F., & Bahl, M. I. (2012) · FEMS Microbiology Letters · doi:10.1111/1574-6968.12004 · Cited by 98 · see citing works
Self-citation(2014) · Institutional Repository University of Antioquia (University of Antioquia) · doi:10.1371/journal.pone
(2018) · Digital Commons@Becker (Washington University School of Medicine) · doi:10.1371/journal
Flagged first, then by citations
Research works printed but not linked: 5
- [17]17. Cole JR, Wang Q, Cardenas E, Fish J, Chai B, Farris RJ, Kulam-SyedMohideen AS, McGarrell DM, Marsh T, Garrity GM, Tiedje JM. 2009. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis. Nucleic Acids Res. 37: D141-D145. http://dx.doi.org/10 .1093/nar/gkn879.
- [19]19. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. 2012. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics 13: 134. http://dx.doi.org/10.1186 /1471-2105-13-134.
- [20]20. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. 1990. Basic local alignment search tool. J. Mol. Biol. 215: 403-410. http://dx.doi.org/10 .1016/S0022-2836(05)80360-2.
- [25]25. Hartigan JA, Hartigan PM. 1985. The dip test of unimodality. Ann. Stat. 13: 70-84. http://dx.doi.org/10.2307/2241144. · DOI
- [30]30. Faust K, Sathirapongsasuti JF, Izard J, Segata N, Gevers D, Raes J, Huttenhower C. 2012. Microbial cooccurrence relationships in the human microbiome. PLoS Comput. Biol. 8: e1002606. http://dx.doi.org/10 .1371/journal.pcbi.1002606.
Cited by
Sorted by citations
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286 · see citing works
The Pathophysiology of Gestational Diabetes Mellitus
Plows, J. F., Stanley, J. L., Baker, P. N., Reynolds, C. M., & Vickers, M. H. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19113342 · Cited by 1,874 · see citing works
“Similar associations have been observed in obesity [129], T2DM [130], fatty liver disease [131], and elevated total plasma cholesterol [132].”
BackgroundDe Filippis, F., Pellegrini, N., Vannini, L., Jeffery, I. B., La Storia, A., Laghi, L., Serrazanetti, D. I., Di Cagno, R., Ferrocino, I., Lazzi, C., et al. (2016) · Gut · doi:10.1136/gutjnl-2015-309957 · Cited by 1,638 · see citing works
Enterotypes in the landscape of gut microbial community composition
Costea, P. I., Hildebrand, F., Arumugam, M., Bäckhed, F., Blaser, M. J., Bushman, F. D., de Vos, W. M., Ehrlich, S. D., Fraser, C. M., Hattori, M., et al. (2017) · Nature Microbiology · doi:10.1038/s41564-017-0072-8 · Cited by 1,138 · see citing works
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 · see citing works
Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration
Leeming, E. R., Johnson, A. J., Spector, T. D., & Le Roy, C. I. (2019) · Nutrients · doi:10.3390/nu11122862 · Cited by 817 · see citing works
The effects of vegetarian and vegan diets on gut microbiota
Tomova, A., Bukovsky, I., Rembert, E., Yonas, W., Alwarith, J., Barnard, N. D., & Kahleova, H. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00047 · Cited by 713 · see citing works
Bergström, A., Skov, T. H., Bahl, M. I., Roager, H. M., Christensen, L. B., Ejlerskov, K. T., Mølgaard, C., Michaelsen, K. F., & Licht, T. R. (2014) · Applied and Environmental Microbiology · doi:10.1128/aem.00342-14 · Cited by 532 · see citing works
Self-citationInterpreting prevotella and bacteroides as biomarkers of diet and lifestyle
Gorvitovskaia, A., Holmes, S. P., & Huse, S. M. (2016) · Microbiome · doi:10.1186/s40168-016-0160-7 · Cited by 461 · see citing works
Colonic transit time is related to bacterial metabolism and mucosal turnover in the gut
Roager, H. M., Hansen, L. B. S., Bahl, M. I., Frandsen, H. L., Carvalho, V., Gøbel, R. J., Dalgaard, M. D., Plichta, D. R., Sparholt, M. H., Vestergaard, H., et al. (2016) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.93 · Cited by 449 · see citing works
Self-citationMitsou, E. K., Kakali, A., Antonopoulou, S., Mountzouris, K. C., Yannakoulia, M., Panagiotakos, D. B., & Kyriacou, A. (2017) · British Journal of Nutrition · doi:10.1017/s0007114517001593 · Cited by 325 · see citing works
Nutrition and the gut microbiome in the elderly
Salazar, N., Valdés-Varela, L., González, S., Gueimonde, M., & de los Reyes-Gavilán, C. G. (2017) · Gut Microbes · doi:10.1080/19490976.2016.1256525 · Cited by 282 · see citing works
Tillisch, K., Mayer, E. A., Gupta, A., Gill, Z., Brazeilles, R., Le Nevé, B., van Hylckama Vlieg, J. E. T., Guyonnet, D., Derrien, M., & Labus, J. S. (2017) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000493 · Cited by 185 · see citing works
Christensen, L., Vuholm, S., Roager, H. M., Nielsen, D. S., Krych, L., Kristensen, M., Astrup, A., & Hjorth, M. F. (2019) · The Journal of Nutrition · doi:10.1093/jn/nxz198 · Cited by 162 · see citing works
Self-citationDiet, Microbiota and Immune System in Type 1 Diabetes Development and Evolution
Mejía-León, M., & Barca, A. (2015) · Nutrients · doi:10.3390/nu7115461 · Cited by 125 · see citing works
Hughes, R. L., Kable, M. E., Marco, M., & Keim, N. L. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz049 · Cited by 117 · see citing works
Wang, J., Li, W., Wang, C., Wang, L., He, T., Hu, H., Song, J., Cui, C., Qiao, J., Qing, L., et al. (2020) · Journal of Diabetes Research · doi:10.1155/2020/6047145 · Cited by 103 · see citing works
Diet-induced gut dysbiosis and inflammation: Key drivers of obesity-driven NASH
Kang, G. G., Trevaskis, N. L., Murphy, A. J., & Febbraio, M. A. (2023) · iScience · doi:10.1016/j.isci.2022.105905 · Cited by 94 · see citing works
Antibiotics and mental health: the good, the bad and the ugly
Dinan, K., & Dinan, T. (2022) · Journal of Internal Medicine · doi:10.1111/joim.13543 · Cited by 69 · see citing works
Ejtahed, H.-S., Tito, R. Y., Siadat, S.-D., Hasani-Ranjbar, S., Hoseini-Tavassol, Z., Rymenans, L., Verbeke, K., Soroush, A.-R., Raes, J., & Larijani, B. (2019) · European Journal of Endocrinology · doi:10.1530/eje-18-0826 · Cited by 63 · see citing works
Park, S., Zhang, T., & Kang, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119533 · Cited by 35 · see citing works
- Authors
- Roager, H. M., Licht, T. R., Poulsen, S. K., Larsen, T. M., & Bahl, M. I.
- Affiliations
- Technical University of Denmark (DK)
- University of Copenhagen (DK)
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2014-02
- Volume
- 80
- Issue
- 3
- Pages
- 1142-1149
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- PMC
- PMC3911217
- OpenAlex
- W2165768293
- Cited by
- 194
- References
- 38
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 18 · 2023: 14 · 2022: 27 · 2021: 26 · 2020: 16 · 2019: 16 · 2018: 16 · 2017: 14 · 2016: 10 · 2015: 9 · 2014: 5
- FWCI
- 3.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Applied and Environmental Microbiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
- Funders
- Nordea-fonden
- Strategic Research Council
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- New Nordic Diet, dietary intervention, abdominal obesity, metabolic syndrome, serum cholesterol, bacterial taxa abundance, microbiome biomarkers
- MeSH terms
- Bacteroides, Cholesterol, Diet, Feces, Humans, Plasma, Prevotella, Gastrointestinal Tract, Metagenome, Real-Time Polymerase Chain Reaction
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