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The Intestinal Metabolome: An Intersection Between Microbiota and Host
Open accessAbstract
Recent advances that allow us to collect more data on DNA sequences and metabolites have increased our understanding of connections between the intestinal microbiota and metabolites, at a whole-systems level. We can also now better study the effects of specific microbes on specific metabolites. Here, we review how the microbiota determines levels of specific metabolites, how the metabolite profile develops in infants, and prospects for assessing a person’s physiological state based on their microbes and/or metabolites. Although data acquisition technologies have improved, computational challenges to integrating data from multiple levels remain formidable; developments in this area will significantly improve our ability to interpret current and future datasets.
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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
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
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
Self-citationPredictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
Self-citationHuman 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
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
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
Self-citationGut Microbiota in Human Adults with Type 2 Diabetes Differs from Non-Diabetic Adults
Larsen, N., Vogensen, F. K., van den Berg, F. W. J., Nielsen, D. S., Andreasen, A. S., Pedersen, B. K., Al-Soud, W. A., Sørensen, S. J., Hansen, L. H., & Jakobsen, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009085 · Cited by 2,952
Microbial co-occurrence relationships in the human microbiome
Faust, K., Sathirapongsasuti, J. F., Izard, J., Segata, N., Gevers, D., Raes, J., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002606 · Cited by 1,527
Moving pictures of the human microbiome
Caporaso, J. G., Lauber, C. L., Costello, E. K., Berg-Lyons, D., Gonzalez, A., Stombaugh, J., Knights, D., Gajer, P., Ravel, J., Fierer, N., et al. (2011) · Genome Biology · doi:10.1186/gb-2011-12-5-r50 · Cited by 1,138
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Microbiota in health and diseases
Hou, K., Wu, Z.-X., Chen, X.-Y., Wang, J.-Q., Zhang, D., Xiao, C., Zhu, D., Koya, J. B., Wei, L., Li, J., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00974-4 · Cited by 3,171
Gut/brain axis and the microbiota
Mayer, E. A., Tillisch, K., & Gupta, A. (2015) · Journal of Clinical Investigation · doi:10.1172/jci76304 · Cited by 1,503
Obesity, inflammation, and the gut microbiota
Cox, A. J., West, N. P., & Cripps, A. W. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70134-2 · Cited by 869
Gut microbiome and aging: physiological and mechanistic insights
Nagpal, R., Mainali, R., Ahmadi, S., Wang, S., Singh, R., Kavanagh, K., Kitzman, D. W., Kushugulova, A., Marotta, F., & Yadav, H. (2018) · Nutrition and Healthy Aging · doi:10.3233/nha-170030 · Cited by 670
Liu, P., Wu, L., Peng, G., Han, Y., Tang, R., Ge, J., Zhang, L., Jia, L., Yue, S., Zhou, K., et al. (2019) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2019.05.008 · Cited by 669
Specialized metabolites from the microbiome in health and disease
Sharon, G., Garg, N., Debelius, J., Knight, R., Dorrestein, P. C., & Mazmanian, S. K. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.10.016 · Cited by 544
Self-citationThe gut microbiota in human energy homeostasis and obesity
Rosenbaum, M., Knight, R., & Leibel, R. L. (2015) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2015.07.002 · Cited by 450
Self-citationJašarević, E., Howerton, C. L., Howard, C. D., & Bale, T. L. (2015) · Endocrinology · doi:10.1210/en.2015-1177 · Cited by 329
Ito, M., Kanno, S., Nosho, K., Sukawa, Y., Mitsuhashi, K., Kurihara, H., Igarashi, H., Takahashi, T., Tachibana, M., Takahashi, H., et al. (2015) · International Journal of Cancer · doi:10.1002/ijc.29488 · Cited by 288
Biofilm-Innate Immune Interface: Contribution to Chronic Wound Formation
Versey, Z., da Cruz Nizer, W. S., Russell, E., Zigic, S., DeZeeuw, K. G., Marek, J. E., Overhage, J., & Cassol, E. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.648554 · Cited by 253
Microbiota-mediated inflammation and antimicrobial defense in the intestine
Caballero, S., & Pamer, E. G. (2015) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032713-120238 · Cited by 238
Morphine induces changes in the gut microbiome and metabolome in a morphine dependence model
Wang, F., Meng, J., Zhang, L., Johnson, T., Chen, C., & Roy, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-21915-8 · Cited by 238
Salazar, N., Arboleya, S., Valdés, L., Stanton, C., Ross, P., Ruiz, L., Gueimonde, M., & de los Reyes-Gavilán, C. G. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00406 · Cited by 166
Altered gut microbial metabolism of essential nutrients in primary sclerosing cholangitis
Kummen, M., Thingholm, L. B., Rühlemann, M. C., Holm, K., Hansen, S. H., Moitinho-Silva, L., Liwinski, T., Zenouzi, R., Storm-Larsen, C., Midttun, Ø., et al. (2021) · Gastroenterology · doi:10.1053/j.gastro.2020.12.058 · Cited by 129
Moreno‐Navarrete, J. M., Serino, M., Blasco‐Baque, V., Azalbert, V., Barton, R. H., Cardellini, M., Latorre, J., Ortega, F., Sabater‐Masdeu, M., Burcelin, R., et al. (2018) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201700721 · Cited by 106
Suzuki, K., Nakamura, K., Shimizu, Y., Yokoi, Y., Ohira, S., Hagiwara, M., Wang, Y., Song, Y., Aizawa, T., & Ayabe, T. (2021) · Scientific Reports · doi:10.1038/s41598-021-89308-y · Cited by 50
Defining the Role of Gut Bacteria in the Metabolism of Deleobuvir: In Vitro and In Vivo Studies
McCabe, M., Sane, R. S., Keith-Luzzi, M., Xu, J., King, I., Whitcher-Johnstone, A., Johnstone, N., Tweedie, D. J., & Li, Y. (2015) · Drug Metabolism and Disposition · doi:10.1124/dmd.115.064477 · Cited by 37
Beneficial effect of vinegar consumption associated with regulating gut microbiome and metabolome
Xia, T., Kang, C., Qiang, X., Zhang, X., Li, S., Liang, K., Wang, Y., Wang, J., Cao, H., & Wang, M. (2024) · Current Research in Food Science · doi:10.1016/j.crfs.2023.100566 · Cited by 26
Twin studies advance the understanding of gene-environment interplay in human nutrigenomics
Pallister, T., Spector, T. D., & Menni, C. (2014) · Nutrition Research Reviews · doi:10.1017/s095442241400016x · Cited by 20
Metadata
- Authors
- Ursell, L. K., Haiser, H. J., Van Treuren, W., Garg, N., Reddivari, L., Vanamala, J., Dorrestein, P. C., Turnbaugh, P. J., & Knight, R.
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 146
- Issue
- 6
- Pages
- 1470-1476
- ISSN
- 0016-5085 (ISSN-L)
- OpenAlex
- W2101606890
- Cited by
- 355
- References
- 16
- FWCI
- 9.00
- Type
- journal article
- Language
- en
- Open access
- green
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