The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Gut microbiota diversity according to dietary habits and geographical provenance
Open accessAbstract
The gut microbiota is an ecosystem including all bacterial species that permanently colonize the gastro intestinal tract and a large number of other microorganisms from the environment. These millions of microorganisms may be unbalanced by a number of external and internal factors. The aim of this review is to summarize recent findings on animal and human studies on the effect of dietary and geographical provenance on gut microbiota-composition. It includes results on the influence of dietary products , type of diet (e.g. vegetarian and omnivorous subgroups), and geographic areas, as well as differences between populations within the same area. In animal models, most results showed contradictory effects on modulation of the intestinal microbiota within the same phylum, while in human studies, dietary products, such as fat, are often reported as being associated with an increase in Bacteroidetes and Actinobacteria species and a decrease in those in the Firmicutes and Proteobacteria phylum. The results of different studies showed that the omnivorous group has a higher diversity of bacteria compared to vegetarians. Gut microbiota composition differs widely between different areas and between different ethnic groups within the same area. However, a higher diversity of bacteria species was encountered in the African population. The conclusions highlight that gut microbiota composition differs according to diet and eating habits which are closely correlated to geographical location suggesting therefore, the need for more in-depth research, looking at ethnic diversity and eating habits.
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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
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
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
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
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
Turnbaugh, P. J., Bäckhed, F., Fulton, L., & Gordon, J. I. (2008) · Cell Host & Microbe · doi:10.1016/j.chom.2008.02.015 · Cited by 2,915
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
High-Fat Diet Determines the Composition of the Murine Gut Microbiome Independently of Obesity
Hildebrandt, M. A., Hoffmann, C., Sherrill–Mix, S. A., Keilbaugh, S. A., Hamady, M., Chen, Y., Knight, R., Ahima, R. S., Bushman, F., & Wu, G. D. (2009) · Gastroenterology · doi:10.1053/j.gastro.2009.08.042 · Cited by 1,576
The composition of the gut microbiota throughout life, with an emphasis on early life
Rodríguez, J. M., Murphy, K., Stanton, C., Ross, R. P., Kober, O. I., Juge, N., Avershina, E., Rudi, K., Narbad, A., Jenmalm, M. C., et al. (2015) · Microbial Ecology in Health & Disease · doi:10.3402/mehd.v26.26050 · Cited by 1,318
Gut microbiome of the Hadza hunter-gatherers
Schnorr, S. L., Candela, M., Rampelli, S., Centanni, M., Consolandi, C., Basaglia, G., Turroni, S., Biagi, E., Peano, C., Severgnini, M., et al. (2014) · Nature Communications · doi:10.1038/ncomms4654 · Cited by 1,317
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Gut microbial molecules in behavioural and neurodegenerative conditions
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Precup, G., & Vodnar, D.-C. (2019) · British Journal of Nutrition · doi:10.1017/s0007114519000680 · Cited by 378
Han, K., Nam, J., Xu, J., Sun, X., Huang, X., Animasahun, O., Achreja, A., Jeon, J. H., Pursley, B., Kamada, N., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00749-2 · Cited by 287
Microbiome as a therapeutic target in alcohol-related liver disease
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Metadata
- Authors
- Senghor, B., Sokhna, C., Ruimy, R., & Lagier, J.-C.
- Venue
- Human Microbiome Journal
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 7-8
- Pages
- 1-9
- ISSN
- 2452-2317 (ISSN-L)
- OpenAlex
- W2789006532
- Cited by
- 299
- References
- 67
- FWCI
- 8.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
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