The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
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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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
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
Self-citationXenobiotics shape the physiology and gene expression of the active human gut microbiome
Maurice, C. F., Haiser, H. J., & Turnbaugh, P. J. (2013) · Cell · doi:10.1016/j.cell.2012.10.052 · Cited by 811
Predicting and Manipulating Cardiac Drug Inactivation by the Human Gut Bacterium Eggerthella lenta
Haiser, H. J., Gootenberg, D. B., Chatman, K., Sirasani, G., Balskus, E. P., & Turnbaugh, P. J. (2013) · Science · doi:10.1126/science.1235872 · Cited by 704
Self-citationThe gastrointestinal microbiota as a site for the biotransformation of drugs
Sousa, T., Paterson, R., Moore, V., Carlsson, A., Abrahamsson, B., & Basit, A. W. (2008) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2008.07.009 · Cited by 618
Wang, W., Chen, L., Zhou, R., Wang, X., Song, L., Huang, S., Wang, G., & Xia, B. (2014) · Journal of Clinical Microbiology · doi:10.1128/jcm.01500-13 · Cited by 509
Colonization-induced host-gut microbial metabolic interaction
Claus, S. P., Ellero, S. L., Berger, B., Krause, L., Bruttin, A., Molina, J., Paris, A., Want, E. J., de Waziers, I., Cloarec, O., et al. (2011) · mBio · doi:10.1128/mbio.00271-10 · Cited by 414
Developing a metagenomic view of xenobiotic metabolism
Haiser, H. J., & Turnbaugh, P. J. (2013) · Pharmacological Research · doi:10.1016/j.phrs.2012.07.009 · Cited by 186 · cited 1×
“Recent reviews have summarized the many processes by which microbes metabolize xenobiotics.(12,48,49) Although these activities are largely catalogued, there are only a few for which the exact mechanisms have been characterized.”
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Cited by
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
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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