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Enterotypes of the human gut microbiome
Open accessAbstract
Our knowledge of species and functional composition of the human gut microbiome is rapidly increasing, but it is still based on very few cohorts and little is known about variation across the world. By combining 22 newly sequenced faecal metagenomes of individuals from four countries with previously published data sets, here we identify three robust clusters (referred to as enterotypes hereafter) that are not nation or continent specific. We also confirmed the enterotypes in two published, larger cohorts, indicating that intestinal microbiota variation is generally stratified, not continuous. This indicates further the existence of a limited number of well-balanced host-microbial symbiotic states that might respond differently to diet and drug intake. The enterotypes are mostly driven by species composition, but abundant molecular functions are not necessarily provided by abundant species, highlighting the importance of a functional analysis to understand microbial communities. Although individual host properties such as body mass index, age, or gender cannot explain the observed enterotypes, data-driven marker genes or functional modules can be identified for each of these host properties. For example, twelve genes significantly correlate with age and three functional modules with the body mass index, hinting at a diagnostic potential of microbial markers.
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In the citing paper
“The concept defines clusters typically dominated by genera like Bacteroides, Prevotella, and Ruminococcus, although subsequent research has sometimes expanded or refined these categories.168,169”
From Gut dysbiosis in oncology: a risk factor for immunoresistance (2026) · cites this paper as [168]
In the citing paper
“Concordant with reported enterotypes in the human microbiome47,51,55, we identified microbiotype-defining taxa including Prevotella spp., Akkermansia spp. and Bifidobacterium spp. (Extended Data Fig. 9).”
From Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1 (2022) · cites this paper as [47]
In the citing paper
“The human gut microbiome includes multiple discrete ecologically balanced communities—hereafter referred to as ‘enteric microbiotypes’—that are resilient although still modifiable by diet, drugs and lifestyle47–52.”
From Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1 (2022) · cites this paper as [47]
In the citing paper
“Complexity of highly dimensional gut microbiota may be better comprehended by organization into discrete classes of ecologically balanced communities or enteric microbiotypes that consider their functional and ecological context47,55.”
From Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1 (2022) · cites this paper as [47]
In the citing paper
“Human intestinal microbiota variation encompasses discrete microbial clusters or enterotypes, although their distribution may be continuous and their composition can be variable within the same individual47,50,51.”
From Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1 (2022) · cites this paper as [47]
In the citing paper
“the family Prevotellaceae has been reported to be positively related to SCFA levels in humans (Arumugam et al., 2011) and affects spatial learning and memory by modulating neurotransmission and hippocampal synaptic plasticity (D’Amato et al., 2020)”
From The modulatory effects of gut microbes and metabolites on blood-brain barrier integrity and brain function in sepsis-associated encephalopathy (2023) · cites this paper as Arumugam et al., 2011
In the citing paper
“A recent work identified three enterotypes in the human gut microbiome differing in species and functional characteristics [5] .”
From Intestinal microbiota in health and disease: Role of bifidobacteria in gut homeostasis (2014) · cites this paper as [5]
In the citing paper
“The MetaHit consortium has proposed that individuals can be classified as having intestinal microbiota predominantly composed of Prevotella or Bacteroides; a third group has higher proportions of Ruminococcus, compared with the others. These categories have been named “enterotypes”38.”
From Diet and the Intestinal Microbiome: Associations, Functions, and Implications for Health and Disease (2014) · cites this paper as [38]
In the citing paper
“a greater proportion of Prevotella in the human intestinal microbiota is a marker of residence in an agrarian culture, whereas a greater proportion of Bacteroides is associated with residence in more-industrialized regions38.”
From Diet and the Intestinal Microbiome: Associations, Functions, and Implications for Health and Disease (2014) · cites this paper as [38]
In the citing paper
“Moreover, diminished Prevotellaceae count is associated with lower level of thiamine and folate biosynthesis [423] as well as lower levels of SCFAs, hydrogen sulfide, and ghrelin.”
From The Role of Microbiota-Gut-Brain Axis in Neuropsychiatric and Neurological Disorders (2021) · cites this paper as [423]
In the citing paper
“similar to enterotypes of global intestinal communities [14]”
From Uncovering the trimethylamine-producing bacteria of the human gut microbiota (2017) · cites this paper as [14]
In the citing paper
“Additional microbial enzyme systems that contribute to TMA generation are now known to include CntA/B and yeaW/X for conversion of carnitine into TMA226–230.”
From Dietary metabolism, the gut microbiome, and heart failure (2019) · cites this paper as [228]
In the citing paper
“The under-representation of Prevotellaceae diminishes the levels of health-promoting neuroactive short chain fatty acids (SCFA) and the capacity for biosynthesis of thiamine and folate (Arumugam et al., 2011), which is in line with decreased levels of these vitamins in PD patients (dos Santos et al., 2009;Luong and Nguyễn, 2013).”
From The Gut-Brain Axis in Parkinson’s Disease: Possibilities for Food-Based Therapies (2017) · cites this paper as Arumugam et al., 2011
In the citing paper
“It is possible to classify microbiomes by groups of microbial communities or enterotypes, each of which is often dominated by a particular organism [69, 70].”
From Pilot study of probiotic/colostrum supplementation on gut function in children with autism and gastrointestinal symptoms (2019) · cites this paper as [69]
In the citing paper
“Previous studies have shown that individual microbiomes from certain niches can be clustered into different types, such as the enterotypes of the gut microbiome [31].”
From Citizen science charts two major “stomatotypes” in the oral microbiome of adolescents and reveals links with habits and drinking water composition (2018) · cites this paper as [31]
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Citations
Cites
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,867
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
Rousseeuw, P. J. (1987) · Journal of Computational and Applied Mathematics · doi:10.1016/0377-0427(87)90125-7 · Cited by 21,392
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 20,145
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Self-citationFinding groups in data: an introduction to cluster analysis
(1991) · Choice Reviews Online · doi:10.5860/choice.28-4558 · Cited by 10,537
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400
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
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Genome sequencing in microfabricated high-density picolitre reactors
Margulies, M., Egholm, M., Altman, W. E., Attiya, S., Bader, J. S., Bemben, L. A., Berka, J., Braverman, M. S., Chen, Y.-J., Chen, Z., et al. (2005) · Nature · doi:10.1038/nature03959 · Cited by 7,693
KEGG for linking genomes to life and the environment
Kanehisa, M. I., Araki, M., Goto, S., Hattori, M., Hirakawa, M., Itoh, M., Katayama, T., Kawashima, S., Okuda, S., Tokimatsu, T., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm882 · Cited by 6,828
Self-citationThe ade4 Package: Implementing the Duality Diagram for Ecologists
Dray, S., & Dufour, A. (2007) · Journal of Statistical Software · doi:10.18637/jss.v022.i04 · Cited by 6,740
Objective Criteria for the Evaluation of Clustering Methods
Rand, W. M. (1971) · Journal of the American Statistical Association · doi:10.1080/01621459.1971.10482356 · Cited by 6,493
Metagenomic Analysis of the Human Distal Gut Microbiome
Gill, S. R., Pop, M., DeBoy, R. T., Eckburg, P. B., Turnbaugh, P. J., Samuel, B. S., Gordon, J. I., Relman, D. A., Fraser-Liggett, C. M., & Nelson, K. E. (2006) · Science · doi:10.1126/science.1124234 · Cited by 4,699
An Examination of Procedures for Determining the Number of Clusters in a Data Set
Milligan, G. W., & Cooper, M. C. (1985) · Psychometrika · doi:10.1007/bf02294245 · Cited by 3,956
A genomic perspective on protein families.
Tatusov, R., Koonin, E., & Lipman, D. (1997) · Science · doi:10.1126/science.278.5338.631 · Cited by 3,777
SOAP2: an improved ultrafast tool for short read alignment
Li, R., Yu, C., Li, Y., Lam, T., Yiu, S., Kristiansen, K., & Wang, J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp336 · Cited by 3,763
Self-citationGoecks, J., Nekrutenko, A., Taylor, J., & The Galaxy Team (2010) · Genome biology · doi:10.1186/gb-2010-11-8-r86 · Cited by 3,532
Bacterial Community Variation in Human Body Habitats Across Space and Time
Costello, E. K., Lauber, C. L., Hamady, M., Fierer, N., Gordon, J. I., & Knight, R. (2009) · Science · doi:10.1126/science.1177486 · Cited by 3,231
Development of the Human Infant Intestinal Microbiota
Palmer, C., Bik, E. M., DiGiulio, D. B., Relman, D. A., & Brown, P. O. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050177 · Cited by 2,877
STRING 8--a global view on proteins and their functional interactions in 630 organisms
Jensen, L. J., Kuhn, M., Stark, M., Chaffron, S., Creevey, C. J., Muller, J., Doerks, T., Julien, P., Roth, A. C., Simonovic, M., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn760 · Cited by 2,475
Microbiota and SCFA in lean and overweight healthy subjects
Schwiertz, A., Taras, D., Schäfer, K., Beijer, S., Bos, N. A., Donus, C., & Hardt, P. D. (2010) · Obesity · doi:10.1038/oby.2009.167 · Cited by 2,457
Dethlefsen, L., Huse, S., Sogin, M. L., & Relman, D. A. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060280 · Cited by 2,361
Akkermansia muciniphila gen. nov., sp. nov., a human intestinal mucin-degrading bacterium
Derrien, M., Vaughan, E. E., Plugge, C. M., & de Vos, W. M. (2004) · International Journal of Systematic and Evolutionary Microbiology · doi:10.1099/ijs.0.02873-0 · Cited by 2,094
Comparative Metagenomics of Microbial Communities
Tringe, S. G., von Mering, C., Kobayashi, A., Salamov, A. A., Chen, K., Chang, H. W., Podar, M., Short, J. M., Mathur, E. J., Detter, J. C., et al. (2005) · Science · doi:10.1126/science.1107851 · Cited by 1,677
Self-citationGeneMark.hmm: new solutions for gene finding
Lukashin, A. (1998) · Nucleic Acids Research · doi:10.1093/nar/26.4.1107 · Cited by 1,536
Through Ageing, and Beyond: Gut Microbiota and Inflammatory Status in Seniors and Centenarians
Biagi, E., Nylund, L., Candela, M., Ostan, R., Bucci, L., Pini, E., Nikkïla, J., Monti, D., Satokari, R., Franceschi, C., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010667 · Cited by 1,483
Structure, Function, and Evolution of Bacterial ATP-Binding Cassette Systems
Davidson, A. L., Dassa, E., Orelle, C., & Chen, J. (2008) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00031-07 · Cited by 1,477
A new metric for probability distributions
Endres, D., & Schindelin, J. E. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.813506 · Cited by 1,212
Gut Microbiota and Metabolic Endotoxemia in Young Obese Mexican Subjects
Radilla-Vázquez, R. B., Parra‐Rojas, I., Martínez-Hernández, N. E., Márquez‐Sandoval, F., Illades‐Aguiar, B., & Castro-Alarcón, N. (2016) · Obesity Facts · doi:10.1159/000442479 · Cited by 1,200
Pagani, I., Liolios, K., Jansson, J., Chen, I.-M. A., Smirnova, T., Nosrat, B., Markowitz, V. M., & Kyrpides, N. C. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1100 · Cited by 1,066
Towards the human intestinal microbiota phylogenetic core
Tap, J., Mondot, S., Levenez, F., Pelletier, E., Caron, C., Furet, J., Ugarte, E., Muñoz‐Tamayo, R., Paslier, D. L. E., Nalin, R., et al. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.01982.x · Cited by 927
Self-citationGodon, J., Zumstein, E., Dabert, P., Habouzit, F., & Moletta, R. (1997) · Applied and Environmental Microbiology · doi:10.1128/aem.63.7.2802-2813.1997 · Cited by 924
Comparative metagenomics revealed commonly enriched gene sets in human gut microbiomes
Kurokawa, K., Itoh, T., Kuwahara, T., Oshima, K., Toh, H., Toyoda, A., Takami, H., Morita, H., Sharma, V. K., Srivastava, T. P., et al. (2007) · DNA Research · doi:10.1093/dnares/dsm018 · Cited by 869
Self-citationKleerebezem, M., Quadri, L. E. N., Kuipers, O. P., & de Vos, W. M. (1997) · Molecular Microbiology · doi:10.1046/j.1365-2958.1997.4251782.x · Cited by 791
Self-citationAlterations of the dominant faecal bacterial groups in patients with Crohn's disease of the colon
Seksik, P., Rigottier‐Gois, L., Gramet, G., BRIEND‐SUTREN, M., Pochart, P., Marteau, P. R., Jian, R., & Dore, J. M. (2003) · Gut · doi:10.1136/gut.52.2.237 · Cited by 746
A Catalog of Reference Genomes from the Human Microbiome
The Human Microbiome Jumpstart Reference Strains Consortium, Nelson, K. E., Weinstock, G. M., Highlander, S. K., Worley, K. C., Creasy, H. H., Wortman, J. R., Rusch, D. B., Mitreva, M., Sodergren, E., et al. (2010) · Science · doi:10.1126/science.1183605 · Cited by 702
High-throughput diversity and functionality analysis of the gastrointestinal tract microbiota
Zoetendal, E. G., Rajilić-Stojanović, M. D., & de Vos, W. M. (2008) · Gut · doi:10.1136/gut.2007.133603 · Cited by 692
Self-citationTannock, G. W., Munro, K., Harmsen, H. J. M., Welling, G. W., Smart, J., & Gopal, P. K. (2000) · Applied and Environmental Microbiology · doi:10.1128/aem.66.6.2578-2588.2000 · Cited by 671
Complex Glycan Catabolism by the Human Gut Microbiota: The Bacteroidetes Sus-like Paradigm
Martens, E. C., Koropatkin, N. M., Smith, T. J., & Gordon, J. I. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.r109.022848 · Cited by 657
High-Throughput Gene Mapping in Caenorhabditis elegansPreprint
Swan, K. A., Curtis, D. E., McKusick, K. B., Voinov, A. V., Mapa, F., & Cancilla, M. R. (2002) · Genome Research · doi:10.1101/gr.208902 · Cited by 617
Salonen, A., Nikkilä, J., Jalanka, J., Immonen, O., Rajilić-Stojanović, M. D., Kekkonen, R. A., Palva, A., & de Vos, W. M. (2010) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2010.02.007 · Cited by 606
Rajilić‐Stojanović, M., Heilig, H. G. H. J., Molenaar, D., Kajander, K., Surakka, A., Smidt, H., & De Vos, W. M. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.01900.x · Cited by 484
Self-citationIntestinal bacteria and ageing
Woodmansey, E. J. (2007) · Journal of Applied Microbiology · doi:10.1111/j.1365-2672.2007.03400.x · Cited by 462
Hayashi, H., Sakamoto, M., & Benno, Y. (2002) · Microbiology and Immunology · doi:10.1111/j.1348-0421.2002.tb02731.x · Cited by 458
rrnDB: documenting the number of rRNA and tRNA genes in bacteria and archaea
Lee, Z. M.-P., Bussema, C., & Schmidt, T. M. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn689 · Cited by 453
Genome-Wide Experimental Determination of Barriers to Horizontal Gene Transfer
Sorek, R., Zhu, Y., Creevey, C. J., Francino, M. P., Bork, P., & Rubin, E. M. (2007) · Science · doi:10.1126/science.1147112 · Cited by 421
Self-citationMolecular eco-systems biology: towards an understanding of community function
Raes, J., & Bork, P. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1935 · Cited by 408
Self-citationAlignment-free genome comparison with feature frequency profiles (FFP) and optimal resolutions
Sims, G. E., Jun, S., Wu, G. A., & Kim, S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813249106 · Cited by 406
Colonic Microbiota Signatures across Five Northern European Countries
Lay, C., Rigottier‐Gois, L., Holmstrøm, K., Rajilić-Stojanović, M. D., Vaughan, E. E., de Vos, W. M., Collins, M. D., Thiel, R., Namsolleck, P., Blaut, M., et al. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.7.4153-4155.2005 · Cited by 296
Prediction of effective genome size in metagenomic samples
Raes, J., Korbel, J. O., Lercher, M. J., von Mering, C., & Bork, P. (2007) · Genome biology · doi:10.1186/gb-2007-8-1-r10 · Cited by 281
Self-citationAlternative pathways for hydrogen disposal during fermentation in the human colon.
Gibson, G. R., Cummings, J. H., Macfarlane, G. T., Allison, C., Segal, I., Vorster, H. H., & Walker, A. R. (1990) · Gut · doi:10.1136/gut.31.6.679 · Cited by 255
Muller, J., Szklarczyk, D., Julien, P., Letunić, I., Roth, A. C., Kuhn, M., Powell, S. T., von Mering, C., Doerks, T., Jensen, L. J., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp951 · Cited by 239
The inflammatory status of old age can be nurtured from the intestinal environment
Guigoz, Y., Dore, J. M., & Schiffrin, E. J. (2008) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e3282f2bfdf · Cited by 230
Vanhoutte, T., Huys, G. R. B., Brandt, E. D., & Swings, J. (2004) · FEMS Microbiology Ecology · doi:10.1016/j.femsec.2004.03.001 · Cited by 215
ACLAME: A CLAssification of Mobile genetic Elements
Leplae, R. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh084 · Cited by 214
Identification of ribosomal RNA genes in metagenomic fragments
Huang, Y., Gilna, P., & Li, W. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp161 · Cited by 212
Quantifying environmental adaptation of metabolic pathways in metagenomics
Gianoulis, T. A., Raes, J., Patel, P. V., Bjornson, R. D., Korbel, J. O., Letunić, I., Yamada, T., Paccanaro, A., Jensen, L. J., Snyder, M. P., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808022106 · Cited by 204
Self-citationKrogfelt, K. A. (1991) · Clinical Infectious Diseases · doi:10.1093/clinids/13.4.721 · Cited by 197
Molecular Analysis of Fecal Microbiota in Elderly Individuals Using 16S rDNA Library and T‐RFLP
Hayashi, H., Sakamoto, M., Kitahara, M., & Benno, Y. (2003) · Microbiology and Immunology · doi:10.1111/j.1348-0421.2003.tb03418.x · Cited by 189
Wright, D. P., Rosendale, D. I., & Roberton, A. M. (2000) · FEMS Microbiology Letters · doi:10.1111/j.1574-6968.2000.tb09265.x · Cited by 185
DiGuistini, S., Liao, N., Platt, D., Robertson, G., Seidel, M. A., Chan, S. K., Docking, R., Birol, İ., Holt, R. A., Hirst, M., et al. (2009) · Genome biology · doi:10.1186/gb-2009-10-9-r94 · Cited by 161
Mucosal immunosenescence: new developments and vaccines to control infectious diseases
Fujihashi, K., & Kiyono, H. (2009) · Trends in Immunology · doi:10.1016/j.it.2009.04.004 · Cited by 116
Kovacikova, G., & Skorupski, K. (2002) · Infection and Immunity · doi:10.1128/iai.70.10.5355-5362.2002 · Cited by 111
SmashCommunity: a metagenomic annotation and analysis tool
Arumugam, M., Harrington, E. D., Förstner, K. U., Raes, J., & Peer Bork, B. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq536 · Cited by 103
Self-citationQuantitative assessment of protein function prediction from metagenomics shotgun sequences
Harrington, E. D., Singh, A. H., Doerks, T., Letunić, I., von Mering, C., Jensen, L. J., Raes, J., & Bork, P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702636104 · Cited by 84
Self-citationGastrointestinal tract and the elderly: functional foods, gut microflora and healthy ageing
Saunier, K., & Dore, J. M. (2002) · Digestive and Liver Disease · doi:10.1016/s1590-8658(02)80158-x · Cited by 74
Say hello to our little friends
Walker, A. W. (2007) · Nature Reviews Microbiology · doi:10.1038/nrmicro1720 · Cited by 24
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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
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Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762
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Metadata
- Authors
- 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., Batto, J.-M., Bertalan, M., Borruel, N., Casellas, F., Fernandez, L., Gautier, L., Hansen, T., Hattori, M., Hayashi, T., Kleerebezem, M., Kurokawa, K., Leclerc, M., Levenez, F., Manichanh, C., Nielsen, H. B., Nielsen, T., Pons, N., Poulain, J., Qin, J., Sicheritz-Ponten, T., Tims, S., Torrents, D., Ugarte, E., Zoetendal, E. G., Wang, J., Guarner, F., Pedersen, O., de Vos, W. M., Brunak, S., Doré, J., Weissenbach, J., Ehrlich, S. D., & Bork, P.
- Affiliations
- European Molecular Biology Laboratory (DE)
- Vrije Universiteit Brussel (BE)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Technical University of Denmark (DK)
- Vall d'Hebron Hospital Universitari (ES)
- University of Copenhagen (DK)
- The University of Tokyo (JP)
- University of Miyazaki (JP)
- Wageningen University & Research (NL)
- Tokyo Institute of Technology (JP)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- BGI Group (China) (CN)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Ehrlich, S. Dusko
- ORCID
- Arumugam, Manimozhiyan
- Raes, Jeroen
- Yamada, Takuji
- Mende, Daniel R.
- Tap, Julien
- Borruel, Natalia
- Casellas, Francesc
- Gautier, Laurent
- Hansen, Torben
- Hattori, Masahira
- Hayashi, Tetsuya
- Kleerebezem, Michiel
- Kurokawa, Ken
- Leclerc, Marion
- Manichanh, Chaysavanh
- Nielsen, H. Bjørn
- Nielsen, Trine
- Pons, Nicolas
- Poulain, Julie
- Qin, Junjie
- Tims, Sebastian
- Torrents, David
- Zoetendal, Erwin G.
- Wang, Jun
- Guarner, Francisco
- Pedersen, Oluf
- Brunak, Søren
- Weissenbach, Jean
- Ehrlich, S. Dusko
- Venue
- Nature
- Published
- 2011-04-20
- Volume
- 473
- Issue
- 7346
- Pages
- 174-180
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3728647
- OpenAlex
- W2032230795
- Cited by
- 7,548
- References
- 70
- Citations by year
- 2026: 312 · 2025: 499 · 2024: 617 · 2023: 654 · 2022: 629 · 2021: 669 · 2020: 583 · 2019: 558 · 2018: 443 · 2017: 416 · 2016: 425 · 2015: 409 · 2014: 425 · 2013: 419 · 2012: 365
- FWCI
- 172.79
- Type
- journal article
- Language
- en
- Update notices
- Open access
- green
- europepmc.org
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion)
- HAL (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Socio-Environmental Systems Modeling (submittedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
- Tokyo Tech Research Repository (Tokyo Institute of Technology) (submittedVersion)
- VUBIR (Vrije Universiteit Brussel) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Wellcome Trust (076964, 082372)
- Novo Nordisk Fonden (NNF10CC1016517)
- Japan Society for the Promotion of Science (221S0002)
- National Institute of Diabetes and Digestive and Kidney Diseases (K24DK002800)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- enterotypes, human gut microbiome, microbial community clustering, host-microbe symbiosis, body mass index, cross-cohort validation, microbial biomarkers
- MeSH terms
- Bacteria, Europe, Feces, Female, Humans, Intestines, Male, Phylogeny, Bacterial Typing Techniques, Biomarkers, Biodiversity, Metagenome, Metagenomics
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