The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
The Gut Microbiome and Its Role in Obesity
Open accessAbstract
The human body is host to a vast number of microbes, including bacterial, fungal and protozoal microoganisms, which together constitute our microbiota. Evidence is emerging that the intestinal microbiome is intrinsically linked with overall health, including obesity risk. Obesity and obesity-related metabolic disorders are characterized by specific alterations in the composition and function of the human gut microbiome. Mechanistic studies have indicated that the gastrointestinal microbiota can influence both sides of the energy balance equation; namely, as a factor influencing energy utilization from the diet and as a factor that influences host genes that regulate energy expenditure and storage. Moreover, its composition is not fixed and can be influenced by several dietary components. This fact raises the attractive possibility that manipulating the gut microbiota could facilitate weight loss or prevent obesity in humans. Emerging as possible strategies for obesity prevention and/or treatment are targeting the microbiota, in order to restore or modulate its composition through the consumption of live bacteria (probiotics), nondigestible or limited digestible food constituents such as oligosaccharides (prebiotics), or both (synbiotics), or even fecal transplants.
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“They found that obese individuals had significantly fewer Bacteroidetes and more Firmicutes [81]”
From Probiotics Regulate Gut Microbiota: An Effective Method to Improve Immunity (2021) · cites this paper as [81]
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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
Dietary Modulation of the Human Colonic Microbiota: Introducing the Concept of Prebiotics
Gibson, G. R., & Roberfroid, M. B. (1995) · Journal of Nutrition · doi:10.1093/jn/125.6.1401 · Cited by 7,659
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
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
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
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
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
Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058 · cited 1×
“Moreover, switching from a low-fat, plant polysaccharideYrich diet to a high-fat/high-sugar ‘‘Western’’ diet may shift the composition of the microbiota within a single day in gnotobiotic mice colonized with bacteria from human feces.(20) Similar results have been obtained in humans.”
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- 2004, Microbial-gut interactions in health and disease. Prebiotics, Best Pract Res Clin Gastroenterol, 18, 287
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Probiotics Regulate Gut Microbiota: An Effective Method to Improve Immunity
Wang, X., Zhang, P., & Zhang, X. (2021) · Molecules · doi:10.3390/molecules26196076 · Cited by 529
Next-generation sequencing: insights to advance clinical investigations of the microbiome
Wensel, C. R., Pluznick, J. L., Salzberg, S. L., & Sears, C. L. (2022) · Journal of Clinical Investigation · doi:10.1172/jci154944 · Cited by 437
Finamore, A., Palmery, M., Bensehaila, S., & Peluso, I. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/3247528 · Cited by 256
Precision nutrition: A systematic literature review
Kirk, D., Catal, C., & Tekinerdogan, B. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104365 · Cited by 238
AlFadhly, N. K. Z., Alhelfi, N., Altemimi, A. B., Verma, D. K., Cacciola, F., & Narayanankutty, A. (2022) · Molecules · doi:10.3390/molecules27175584 · Cited by 225
Metadata
- Authors
- Davis, C. D.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Davis, Cindy D.
- ORCID
- Davis, Cindy D.
- Venue
- Nutrition Today
- Published
- 2016-07
- Volume
- 51
- Issue
- 4
- Pages
- 167-174
- ISSN
- 0029-666X (ISSN-L)
- 1538-9839
- PMC
- PMC5082693
- OpenAlex
- W2498698309
- Cited by
- 407
- References
- 53
- Citations by year
- 2026: 19 · 2025: 61 · 2024: 60 · 2023: 65 · 2022: 63 · 2021: 69 · 2020: 37 · 2019: 23 · 2018: 7 · 2017: 3
- FWCI
- 5.72
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nutrition Today (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 OD999999)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Keywords
- gut microbiota, obesity, energy balance, energy expenditure, energy storage, dietary modulation of microbiota, probiotics, prebiotics, synbiotics, fecal microbiota transplantation, obesity prevention, obesity treatment
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