Dietary Fiber-Induced Improvement in Glucose Metabolism Is Associated with Increased Abundance of Prevotella
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The gut microbiota plays an important role in human health by interacting with host diet, but there is substantial inter-individual variation in the response to diet. Here we compared the gut microbiota composition of healthy subjects who exhibited improved glucose metabolism following 3-day consumption of barley kernel-based bread (BKB) with those who responded least to this dietary intervention. The Prevotella/Bacteroides ratio was higher in responders than non-responders after BKB. Metagenomic analysis showed that the gut microbiota of responders was enriched in Prevotella copri and had increased potential to ferment complex polysaccharides after BKB. Finally, germ-free mice transplanted with microbiota from responder human donors exhibited improved glucose metabolism and increased abundance of Prevotella and liver glycogen content compared with germ-free mice that received non-responder microbiota. Our findings indicate that Prevotella plays a role in the BKB-induced improvement in glucose metabolism observed in certain individuals, potentially by promoting increased glycogen storage.
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Diet modulates the composition and function of the gut microbiota in humans and other mammals.
“diet modulates the composition and function of this community of microbes in humans and other mammals18–25”
From Diet–microbiota interactions as moderators of human metabolism (2016) · cites this paper as [22]
In mice, Prevotella benefits glucose metabolism only if the diet supplies fermentable fibre/polysaccharides; it does not do so on a high-fat or Western-style diet lacking them.
“Prevotella could also improve the glucose metabolism of mice that were fed carbohydrate-rich diets but not a high-fat diet that was devoid of fermentable polysaccharides.”
From Diet–microbiota interactions as moderators of human metabolism (2016) · cites this paper as [22]
People vary substantially in how their glucose metabolism reacts to an intervention using whole grains.
“Similarly, individuals show large differences in glucose metabolism in response to an intervention that is based on whole grains22.”
From Diet–microbiota interactions as moderators of human metabolism (2016) · cites this paper as [22]
The better glucose tolerance seen with whole grains was mostly attributable to a rise in Prevotella within the microbiota.
“Improved tolerance to glucose could be explained largely through enrichment of the genus Prevotella within the microbiota.”
From Diet–microbiota interactions as moderators of human metabolism (2016) · cites this paper as [22]
Several other studies have reported that the baseline diet of an individual predicted the systemic and microbial responses to the diet intervention.
“Several other studies have reported that the baseline diet of an individual predicted the systemic and microbial responses to the diet intervention (70,514).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [70]
In a human intervention study, nonresponders showed increased negative interactions between microbial species after intervention, while responders showed increased positive interactions and complexity of interactions.
“In a human intervention study, network complexity analysis revealed that in nonresponders the negative interactions between microbial species increased after the intervention, meaning that more species competed for the same substrate, whereas in responders the positive interactions between species and the complexity of interactions increased after the intervention (70).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [70]
Success of a dietary intervention is contingent on the presence of a group of microbes and microbe-microbe interactions.
“success of a dietary intervention was also shown to be contingent on the presence of a group of microbes and microbe-microbe interactions.”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [70]
Which microbial enzymatic repertoire is required for a dietary intervention to be successful depends on the nutrients present in the study diet.
“Which microbial enzymatic repertoire is required for a dietary intervention to be successful depends on the nutrients present in the study diet (70,494,510).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [70]
The composition of the microbiota has been found to regulate the metabolic response to various dietary factors in humans.
“the composition of the microbiota has been found to regulate the metabolic response to various such factors in humans [11], [12].”
From Gut microbiota and glucometabolic alterations in response to recurrent partial sleep deprivation in normal-weight young individuals (2016) · cites this paper as [11]
Bifidobacterium and Prevotella are associated with probiotic effect and fiber intake, respectively.
“that are associated with probiotic effect and fiber intake, respectively [4,51].”
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464 · see citing works
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668 · see citing works
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 · 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
A metagenome-wide association study of gut microbiota in type 2 diabetes
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 · 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
The gut microbiota as an environmental factor that regulates fat storage
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., Semenkovich, C. F., & Gordon, J. I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407076101 · Cited by 6,245 · see citing works
Self-citationGut flora metabolism of phosphatidylcholine promotes cardiovascular disease
Wang, Z., Klipfell, E., Bennett, B. J., Koeth, R., Levison, B. S., DuGar, B., Feldstein, A. E., Britt, E. B., Fu, X., Chung, Y.-M., et al. (2011) · Nature · doi:10.1038/nature09922 · Cited by 5,597 · 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
Aligning sequence reads, clone sequences and assembly con*gs with BWA-MEMPreprint
Li, H. (2014) · arXiv (Cornell University) · doi:10.6084/m9.figshare.963153.v1 · Cited by 5,150 · see citing works
Richness 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 · 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
Self-citationIntestinal 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
Meyer, F., Paarmann, D., D'Souza, M., Olson, R., Glass, E., Kubal, M., Paczian, T., Rodriguez, A., Stevens, R. L., Wilke, A., et al. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-386 · Cited by 3,565 · see citing works
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 · see citing works
Self-citationMechanisms underlying the resistance to diet-induced obesity in germ-free mice
Bäckhed, F., Manchester, J. K., Semenkovich, C. F., & Gordon, J. I. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605374104 · Cited by 2,615 · see citing works
Self-citationMicrobial degradation of complex carbohydrates in the gut
Flint, H. J., Scott, K. P., Duncan, S. H., Louis, P., & Forano, E. (2012) · Gut Microbes · doi:10.4161/gmic.19897 · Cited by 2,331 · see citing works
Microbiota-Generated Metabolites Promote Metabolic Benefits via Gut-Brain Neural Circuits
De Vadder, F., Kovatcheva-Datchary, P., Goncalves, D., Vinera, J., Zitoun, C., Duchampt, A., Bäckhed, F., & Mithieux, G. (2014) · Cell · doi:10.1016/j.cell.2013.12.016 · Cited by 2,200 · see citing works
Self-citationHuman gut microbiota in obesity and after gastric bypass
Zhang, H., DiBaise, J. K., Zuccolo, A., Kudrna, D., Braidotti, M., Yu, Y., Parameswaran, P., Crowell, M. D., Wing, R., Rittmann, B. E., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812600106 · Cited by 1,880 · see citing works
Dietary intervention impact on gut microbial gene richness
Cotillard, A., Kennedy, S. P., Kong, L. C., Prifti, E., Pons, N., Le Chatelier, E., Almeida, M., Quinquis, B., Levenez, F., Galleron, N., et al. (2013) · Nature · doi:10.1038/nature12480 · Cited by 1,832 · see citing works
The abundance and variety of carbohydrate-active enzymes in the human gut microbiota
Kaoutari, A. E., Armougom, F., Gordon, J. I., Raoult, D., & Henrissat, B. (2013) · Nature Reviews Microbiology · doi:10.1038/nrmicro3050 · Cited by 1,683 · see citing works
Dominant and diet-responsive groups of bacteria within the human colonic microbiota
Walker, A. W., Ince, J., Duncan, S. H., Webster, L. M., Holtrop, G., Ze, X., Brown, D., Stares, M. D., Scott, P., Bergerat, A., et al. (2011) · The ISME Journal · doi:10.1038/ismej.2010.118 · Cited by 1,632 · see citing works
UniFrac – An online tool for comparing microbial community diversity in a phylogenetic context
Lozupone, C., Hamady, M., & Knight, R. D. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-371 · Cited by 1,454 · see citing works
A Genomic View of the Human- <i>Bacteroides thetaiotaomicron</i> Symbiosis
Xu, J., Bjursell, M. K., Himrod, J., Deng, S., Carmichael, L. K., Chiang, H. C., Hooper, L. V., & Gordon, J. I. (2003) · Science · doi:10.1126/science.1080029 · Cited by 1,353 · see citing works
Ze, X., Duncan, S. H., Louis, P., & Flint, H. J. (2012) · The ISME Journal · doi:10.1038/ismej.2012.4 · Cited by 1,060 · 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
FXR is a molecular target for the effects of vertical sleeve gastrectomy
Ryan, K. K., Tremaroli, V., Clemmensen, C., Kovatcheva-Datchary, P., Myronovych, A., Karns, R., Wilson-Pérez, H. E., Sandoval, D. A., Kohli, R., Bäckhed, F., et al. (2014) · Nature · doi:10.1038/nature13135 · Cited by 931 · see citing works
Self-citationMartens, E. C., Chiang, H. C., & Gordon, J. I. (2008) · Cell Host & Microbe · doi:10.1016/j.chom.2008.09.007 · Cited by 919 · see citing works
Self-citationRecognition and Degradation of Plant Cell Wall Polysaccharides by Two Human Gut Symbionts
Martens, E. C., Lowe, E. C., Chiang, H. C., Pudlo, N. A., Wu, M., McNulty, N. P., Abbott, D. W., Henrissat, B., Gilbert, H. J., Bolam, D. N., et al. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001221 · Cited by 847 · see citing works
Self-citationDewulf, E. M., Cani, P. D., Claus, S. P., Fuentes, S., Puylaert, P. G., Neyrinck, A. M., Bindels, L. B., de Vos, W. M., Gibson, G. R., Thissen, J.-P., et al. (2013) · Gut · doi:10.1136/gutjnl-2012-303304 · Cited by 825 · see citing works
A humanized gnotobiotic mouse model of host-archaeal-bacterial mutualism
Samuel, B. S., & Gordon, J. I. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602187103 · Cited by 674 · see citing works
Matsuki, T., Watanabe, K., Fujimoto, J., Miyamoto, Y., Takada, T., Matsumoto, K., Oyaizu, H., & Tanaka, R. (2002) · Applied and Environmental Microbiology · doi:10.1128/aem.68.11.5445-5451.2002 · Cited by 656 · see citing works
Salonen, A., Lahti, L., Salojärvi, J., Holtrop, G., Korpela, K., Duncan, S. H., Date, P., Farquharson, F., Johnstone, A. M., Lobley, G. E., et al. (2014) · The ISME Journal · doi:10.1038/ismej.2014.63 · Cited by 626 · see citing works
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 592 · see citing works
Wu, G. D., Compher, C., Chen, E. Z., Smith, S. A., Shah, R. D., Bittinger, K., Chehoud, C., Albenberg, L. G., Nessel, L., Gilroy, E., et al. (2016) · Gut · doi:10.1136/gutjnl-2014-308209 · Cited by 512 · 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
Denman, S. E., Tomkins, N. W., & McSweeney, C. S. (2007) · FEMS Microbiology Ecology · doi:10.1111/j.1574-6941.2007.00394.x · Cited by 503 · see citing works
Specific features of glycogen metabolism in the liver
Bollen, M., Keppens, S., & Stalmans, W. (1998) · Biochemical Journal · doi:10.1042/bj3360019 · Cited by 409 · see citing works
Metagenome Sequencing of the Hadza Hunter-Gatherer Gut Microbiota
Rampelli, S., Schnorr, S. L., Consolandi, C., Turroni, S., Severgnini, M., Peano, C., Brigidi, P., Crittenden, A. N., Henry, A. G., & Candela, M. (2015) · Current Biology · doi:10.1016/j.cub.2015.04.055 · Cited by 399 · see citing works
Koropatkin, N. M., Martens, E. C., Gordon, J. I., & Smith, T. J. (2008) · Structure · doi:10.1016/j.str.2008.03.017 · Cited by 375 · see citing works
Self-citationSelective colonization of insoluble substrates by human faecal bacteria
Leitch, E. C. M., Walker, A. W., Duncan, S. H., Holtrop, G., & Flint, H. J. (2007) · Environmental Microbiology · doi:10.1111/j.1462-2920.2006.01186.x · Cited by 297 · see citing works
Pathway of Succinate and Propionate Formation in Bacteroides fragilis
Macy, J. M., Ljungdahl, L. G., & Gottschalk, G. (1978) · Journal of Bacteriology · doi:10.1128/jb.134.1.84-91.1978 · Cited by 262 · see citing works
Xylan degradation, a metabolic property shared by rumen and human colonic Bacteroidetes
Dodd, D., Mackie, R. I., & Cann, I. (2010) · Molecular Microbiology · doi:10.1111/j.1365-2958.2010.07473.x · Cited by 251 · see citing works
Species Response to Environmental Change: Impacts of Food Web Interactions and Evolution
Harmon, J. P., Moran, N. A., & Ives, A. R. (2009) · Science · doi:10.1126/science.1167396 · Cited by 233 · see citing works
Korpela, K., Flint, H. J., Johnstone, A. M., Lappi, J., Poutanen, K. S., Dewulf, E. M., Delzenne, N. M., de Vos, W. M., & Salonen, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090702 · Cited by 228 · see citing works
Prevotella copri sp. nov. and Prevotella stercorea sp. nov., isolated from human faeces
Hayashi, H., Shibata, K., Sakamoto, M., Tomita, S., & Benno, Y. (2007) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/ijs.0.64778-0 · Cited by 183 · see citing works
Dodd, D., Moon, Y.-H., Swaminathan, K., Mackie, R. I., & Cann, I. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.141788 · Cited by 141 · see citing works
Nutrition, the gut microbiome and the metabolic syndrome
Kovatcheva‐Datchary, P., & Arora, T. (2013) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2013.03.017 · Cited by 121 · see citing works
Self-citationIzumida, Y., Yahagi, N., Takeuchi, Y., Nishi, M., Shikama, A., Takarada, A., Masuda, Y., Kubota, M., Matsuzaka, T., Nakagawa, Y., et al. (2013) · Nature Communications · doi:10.1038/ncomms3316 · Cited by 119 · see citing works
Bone marrow–specific Cap gene deletion protects against high-fat diet–induced insulin resistance
Lesniewski, L. A., Hosch, S. E., Neels, J. G., de Luca, C., Pashmforoush, M., Lumeng, C. N.-K., Chiang, S.-H., Scadeng, M., Saltiel, A. R., & Olefsky, J. M. (2007) · Nature Medicine · doi:10.1038/nm1550 · Cited by 114 · see citing works
Nilsson, A. C., Johansson-Boll, E. V., & Björck, I. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114515002524 · Cited by 109 · see citing works
Self-citationLampe, J. W., Navarro, S. L., Hullar, M. A. J., & Shojaie, A. (2013) · Proceedings of The Nutrition Society · doi:10.1017/s0029665113000025 · Cited by 105 · see citing works
Johansson, E., Nilsson, A. C., Östman, E. M., & Björck, I. (2013) · Nutrition Journal · doi:10.1186/1475-2891-12-46 · Cited by 103 · see citing works
Self-citationNilsson, A. C., Granfeldt, Y. E., Östman, E. M., Preston, T., & Björck, I. (2006) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602423 · Cited by 101 · see citing works
Self-citationNilsson, A. C., Östman, E. M., Preston, T., & Björck, I. (2007) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602784 · Cited by 93 · see citing works
Self-citationMethanogens in Human Health and Disease
Pimentel, M., Gunsalus, R. P., Rao, S. S. C., & Zhang, H. (2012) · The American Journal of Gastroenterology Supplements · doi:10.1038/ajgsup.2012.6 · Cited by 79 · see citing works
Social Network: a Cytoscape app for visualizing co-authorship networks
Kofia, V., Isserlin, R., Buchan, A. M. J., et al. (2015) · F1000Research · doi:10.12688/f1000research.6804.3 · Cited by 16 · see citing works
Menzaghi, C., Paroni, G., Bonis, C. D., Coco, A., Vigna, C., Miscio, G., Lanna, P., Tassi, V., Bacci, S., & Trischitta, V. (2008) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2008.01924.x · Cited by 13 · see citing works
Social Network: a Cytoscape app for visualizing co-publication networks
Kofia, V., Isserlin, R., Buchan, A. M. J., et al. (2015) · F1000Research · doi:10.12688/f1000research.6804.1 · Cited by 6 · see citing works
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Self-citationAsnicar, F., Berry, S. E., Valdes, A. M., Nguyen, L. H., Piccinno, G., Drew, D. A., Leeming, E., Gibson, R., Le Roy, C., Khatib, H. A., et al. (2021) · Nature Medicine · doi:10.1038/s41591-020-01183-8 · Cited by 995 · see citing works
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Maeda, Y., Kurakawa, T., Umemoto, E., Motooka, D., Ito, Y., Gotoh, K., Hirota, K., Matsushita, M., Furuta, Y., Narazaki, M., et al. (2016) · Arthritis & Rheumatology · doi:10.1002/art.39783 · Cited by 686 · see citing works
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Sonnenburg, E. D., & Sonnenburg, J. L. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0191-8 · Cited by 489 · see citing works
A Gut Commensal-Produced Metabolite Mediates Colonization Resistance to Salmonella Infection
Jacobson, A., Lam, L., Rajendram, M., Tamburini, F., Honeycutt, J., Pham, T., Van Treuren, W., Pruss, K., Stabler, S. R., Lugo, K., et al. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.07.002 · Cited by 507 · see citing works
Iljazovic, A., Roy, U., Gálvez, E. J. C., Lesker, T. R., Zhao, B., Gronow, A., Amend, L., Will, S. E., Hofmann, J. D., Pils, M. C., et al. (2021) · Mucosal Immunology · doi:10.1038/s41385-020-0296-4 · Cited by 454 · see citing works
Metabolically healthy versus metabolically unhealthy obesity
Iacobini, C., Pugliese, G., Blasetti Fantauzzi, C., Federici, M., & Menini, S. (2019) · Metabolism · doi:10.1016/j.metabol.2018.11.009 · Cited by 453 · see citing works
Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health
Berding, K., Vlckova, K., Marx, W., Schellekens, H., Stanton, C., Clarke, G., Jacka, F., Dinan, T. G., & Cryan, J. F. (2021) · Advances in Nutrition · doi:10.1093/advances/nmaa181 · Cited by 451 · see citing works
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 · see citing works
Gut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention
Liu, Y., Wang, Y., Ni, Y., Cheung, C. K. Y., Lam, K. S. L., Wang, Y., Xia, Z., Ye, D., Guo, J., Tse, M. A., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.001 · Cited by 405 · see citing works
Microbiome and metabolic disease: revisiting the bacterial phylum Bacteroidetes
Johnson, E. L., Heaver, S. L., Walters, W. A., & Ley, R. E. (2017) · Journal of Molecular Medicine · doi:10.1007/s00109-016-1492-2 · Cited by 389 · see citing works
Wang, D. D., Nguyen, L. H., Li, Y., Yan, Y., Ma, W., Rinott, E., Ivey, K. L., Shai, I., Willett, W. C., Hu, F. B., et al. (2021) · Nature Medicine · doi:10.1038/s41591-020-01223-3 · Cited by 386 · see citing works
Precup, G., & Vodnar, D.-C. (2019) · British Journal of Nutrition · doi:10.1017/s0007114519000680 · Cited by 378 · see citing works
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E., et al. (2022) · Microbiome · doi:10.1186/s40168-022-01243-w · Cited by 368 · see citing works
Dan, Z., Mao, X., Liu, Q., Guo, M., Zhuang, Y., Liu, Z., Chen, K., Chen, J., Xu, R., Tang, J., et al. (2020) · Gut Microbes · doi:10.1080/19490976.2020.1747329 · Cited by 350 · see citing works
Krumbeck, J. A., Rasmussen, H. E., Hutkins, R. W., Clarke, J., Shawron, K., Keshavarzian, A., & Walter, J. (2018) · Microbiome · doi:10.1186/s40168-018-0494-4 · Cited by 342 · see citing works
Mining the microbiota for microbial and metabolite-based immunotherapies
Skelly, A. N., Sato, Y., Kearney, S., & Honda, K. (2019) · Nature Reviews Immunology · doi:10.1038/s41577-019-0144-5 · Cited by 306 · see citing works
Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses
Korem, T., Zeevi, D., Zmora, N., Weissbrod, O., Bar, N., Lotan-Pompan, M., Avnit-Sagi, T., Kosower, N., Malka, G., Rein, M., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.05.002 · Cited by 318 · see citing works
The Role of the Immune System in Metabolic Health and Disease
Zmora, N., Bashiardes, S., Levy, M., & Elinav, E. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.02.006 · Cited by 323 · see citing works
Benedict, C., Vogel, H., Jonas, W., Woting, A., Blaut, M., Schürmann, A., & Cedernaes, J. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.10.003 · Cited by 324 · see citing works
“Discussion: Our findings demonstrate that short-term sleep loss induces subtle effects on human microbiota.”
BackgroundRethinking healthy eating in light of the gut microbiome
Armet, A. M., Deehan, E. C., O’Sullivan, A. F., Mota, J. F., Field, C. J., Prado, C. M., Lucey, A. J., & Walter, J. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.04.016 · Cited by 252 · see citing works
Potential and active functions in the gut microbiota of a healthy human cohort
Tanca, A., Abbondio, M., Palomba, A., Fraumene, C., Manghina, V., Cucca, F., Fiorillo, E., & Uzzau, S. (2017) · Microbiome · doi:10.1186/s40168-017-0293-3 · Cited by 172 · 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
Feeding the microbiota: Transducer of nutrient signals for the host
Shanahan, F., van Sinderen, D., O’Toole, P. W., & Stanton, C. (2017) · Gut · doi:10.1136/gutjnl-2017-313872 · Cited by 157 · see citing works
Li, Q., Lauber, C. L., Czarnecki-Maulden, G., Pan, Y., & Hannah, S. S. (2017) · mBio · doi:10.1128/mbio.01703-16 · Cited by 148 · see citing works
Lagoumintzis, G., & Patrinos, G. P. (2023) · Human Genomics · doi:10.1186/s40246-023-00561-w · Cited by 132 · see citing works
Röytiö, H., Mokkala, K., Vahlberg, T., & Laitinen, K. (2017) · British Journal Of Nutrition · doi:10.1017/s0007114517002100 · Cited by 128 · see citing works
Klimenko, N. S., Tyakht, A. V., Popenko, A. S., Vasiliev, A. S., Altukhov, I. A., Ischenko, D. S., Shashkova, T. I., Efimova, D. A., Nikogosov, D. A., Osipenko, D. A., et al. (2018) · Nutrients · doi:10.3390/nu10050576 · Cited by 123 · see citing works
Huber-Ruano, I., Calvo, E., Mayneris-Perxachs, J., Rodríguez-Peña, M.-M., Ceperuelo-Mallafré, V., Cedó, L., Núñez-Roa, C., Miro-Blanch, J., Arnoriaga-Rodríguez, M., Balvay, A., et al. (2022) · Microbiome · doi:10.1186/s40168-022-01306-y · Cited by 122 · see citing works
Su, T., Liu, R., Lee, A., Long, Y., Du, L., Lai, S., Chen, X., Wang, L., Si, J., Owyang, C., et al. (2018) · Gastroenterology Research and Practice · doi:10.1155/2018/6961783 · Cited by 117 · see citing works
“And Prevotella can positively interact with the other member of the community to promote increased carbohydrate fermentation [31].”
van Soest, A. P. M., Hermes, G. D. A., Berendsen, A. A. M., van de Rest, O., Zoetendal, E. G., Fuentes, S., Santoro, A., Franceschi, C., de Groot, L. C. P. G. M., & de Vos, W. M. (2020) · Nutrients · doi:10.3390/nu12113471 · Cited by 118 · 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
The challenges of primary biliary cholangitis: What is new and what needs to be done
Terziroli Beretta-Piccoli, B., Mieli-Vergani, G., Vergani, D., Vierling, J. M., Adams, D., Alpini, G., Banales, J. M., Beuers, U., Björnsson, E., Bowlus, C., et al. (2019) · Journal of Autoimmunity · doi:10.1016/j.jaut.2019.102328 · Cited by 114 · see citing works
Cardiometabolic health, diet and the gut microbiome: a meta-omics perspective
Valles-Colomer, M., Menni, C., Berry, S. E., Valdes, A. M., Spector, T. D., & Segata, N. (2023) · Nature Medicine · doi:10.1038/s41591-023-02260-4 · Cited by 114 · see citing works
The Gut Microbiome and Individual-Specific Responses to Diet
Leshem, A., Segal, E., & Elinav, E. (2020) · mSystems · doi:10.1128/msystems.00665-20 · Cited by 109 · 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
Going with the grain: Fiber, cognition, and the microbiota-gut-brain-axis
Berding, K., Carbia, C., & Cryan, J. F. (2021) · Experimental Biology and Medicine · doi:10.1177/1535370221995785 · Cited by 100 · see citing works
Oral and Gut Dysbiosis Leads to Functional Alterations in Parkinson’s Disease
Jo, S., Kang, W., Hwang, Y. S., Lee, S. H., Park, K. W., Kim, M. S., Lee, H., Yoon, H. J., Park, Y. K., Chalita, M., et al. (2022) · npj Parkinson s Disease · doi:10.1038/s41531-022-00351-6 · Cited by 85 · see citing works
Prieto, I., Hidalgo, M., Segarra, A. B., Martínez-Rodríguez, A. M., Cobo, A., Ramírez, M., Abriouel, H., Gálvez, A., & Martínez-Cañamero, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0190368 · Cited by 91 · see citing works
Mills, S., Lane, J. A., Smith, G. J., Grimaldi, K. A., Ross, R. P., & Stanton, C. (2019) · Nutrients · doi:10.3390/nu11071468 · Cited by 88 · see citing works
Synbiotics for Improved Human Health: Recent Developments, Challenges, and Opportunities
Krumbeck, J. A., Walter, J., & Hutkins, R. W. (2018) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-030117-012757 · Cited by 84 · see citing works
de Goffau, M. C., Jallow, A. T., Sanyang, C., Prentice, A. M., Meagher, N., Price, D. J., Revill, P. A., Parkhill, J., Pereira, D. I. A., & Wagner, J. (2021) · Nature Microbiology · doi:10.1038/s41564-021-01023-6 · Cited by 82 · see citing works
Fang, S., Xiong, X., Su, Y., Huang, L., & Chen, C. (2017) · BMC Microbiology · doi:10.1186/s12866-017-1055-x · Cited by 80 · see citing works
Geographic Differences in Gut Microbiota Composition Impact Susceptibility to Enteric Infection
Porras, A. M., Shi, Q., Zhou, H., Callahan, R., Montenegro-Bethancourt, G., Solomons, N., & Brito, I. L. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109457 · Cited by 74 · see citing works
In Vitro Study of the Effect of Quinoa and Quinoa Polysaccharides on Human Gut Microbiota
Zeyneb, H., Pei, H., Cao, X., Wang, Y., Win, Y., & Gong, L. (2021) · Food Science & Nutrition · doi:10.1002/fsn3.2540 · Cited by 62 · see citing works
Personalized dietary management of overweight and obesity based on measures of insulin and glucose
Hjorth, M. F., Zohar, Y., Hill, J. O., & Astrup, A. (2018) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-082117-051606 · Cited by 60 · see citing works
Ou, Y., Belzer, C., Smidt, H., & de Weerth, C. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2038853 · Cited by 54 · see citing works
The role of the gut microbiome in colorectal cancer: Where are we? Where are we going?
Wieczorska, K., Stolarek, M., & Stec, R. (2020) · Clinical Colorectal Cancer · doi:10.1016/j.clcc.2019.07.006 · Cited by 50 · see citing works
De Giani, A., Sandionigi, A., Zampolli, J., Michelotti, A., Tursi, F., Labra, M., & Di Gennaro, P. (2022) · Microorganisms · doi:10.3390/microorganisms10061256 · Cited by 46 · see citing works
Mirror, mirror on the wall: which microbiomes will help heal them all?
Nayak, R. R., & Turnbaugh, P. J. (2016) · BMC Medicine · doi:10.1186/s12916-016-0622-6 · Cited by 36 · see citing works
Ding, H., Yu, X., Chen, L., Han, J., Zhao, Y., & Feng, J. (2020) · Metallomics · doi:10.1039/d0mt00096e · Cited by 33 · see citing works
Oduro-Donkor, D., Turner, M. C., Farnaud, S., Renshaw, D., Kyrou, I., Hanson, P., Hattersley, J., Weickert, M. O., Menon, V., Randeva, H. S., et al. (2020) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2020.1801412 · Cited by 33 · see citing works
Pietrzak, B., Tomela, K., Olejnik-Schmidt, A., Galus, Ł., Mackiewicz, J., Kaczmarek, M., Mackiewicz, A., & Schmidt, M. (2022) · Cancers · doi:10.3390/cancers14215369 · Cited by 36 · see citing works
“copri complex clades show distinct carbohydrate metabolism repertoires [34] that may provide an advantage only in the case of a plant-rich diet [53].”
BackgroundGut microbiome response to short‐term dietary interventions in reactive hypoglycemia subjects
Quercia, S., Turroni, S., Fiori, J., Soverini, M., Rampelli, S., Biagi, E., Castagnetti, A., Consolandi, C., Severgnini, M., Pianesi, M., et al. (2017) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2927 · Cited by 27 · see citing works
Raninen, K., Lappi, J., Kolehmainen, M., Kolehmainen, M., Mykkänen, H., Poutanen, K., & Raatikainen, O. (2017) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2017.1312296 · Cited by 15 · see citing works
- Authors
- Kovatcheva-Datchary, P., Nilsson, A., Akrami, R., Lee, Y. S., De Vadder, F., Arora, T., Hallen, A., Martens, E., Björck, I., & Bäckhed, F.
- Affiliations
- Lund University (SE)
- University of Gothenburg (SE)
- University of Michigan (US)
- University of Copenhagen (DK)
- Corresponding author
- Bäckhed, Fredrik
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 22
- Issue
- 6
- Pages
- 971-982
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2153832854
- Cited by
- 1,731
- References
- 62
- Citations by year
- 2026: 129 · 2025: 171 · 2024: 227 · 2023: 178 · 2022: 212 · 2021: 246 · 2020: 187 · 2019: 139 · 2018: 114 · 2017: 87 · 2016: 38
- FWCI
- 34.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- VINNOVA
- Lunds Universitet
- Knut och Alice Wallenbergs Stiftelse
- Sahlgrenska Universitetssjukhuset
- Novo Nordisk Fonden (NNF13OC0008163)
- Sahlgrenska Akademin
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- dietary fiber, glucose metabolism, gut microbiota, Prevotella, Prevotella copri, interindividual variability, polysaccharide fermentation, liver glycogen, microbiota transplantation, germ-free mice, Bacteroides
- MeSH terms
- Aged, Animals, Bacteroides, Blood Glucose, Dietary Fiber, Feces, Female, Glucose, Glycogen, Humans, Hydrogen, Insulin, Intestines, Liver, Male, Mice, Inbred C57BL, Middle Aged, RNA, Ribosomal, 16S, Cross-Over Studies, Prevotella, Mice, Microbiota
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