The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Role of Gut Microbiota in the Aetiology of Obesity: Proposed Mechanisms and Review of the Literature
Open accessAbstract
The aetiology of obesity has been attributed to several factors (environmental, dietary, lifestyle, host, and genetic factors); however none of these fully explain the increase in the prevalence of obesity worldwide. Gut microbiota located at the interface of host and environment in the gut are a new area of research being explored to explain the excess accumulation of energy in obese individuals and may be a potential target for therapeutic manipulation to reduce host energy storage. Several mechanisms have been suggested to explain the role of gut microbiota in the aetiology of obesity such as short chain fatty acid production, stimulation of hormones, chronic low-grade inflammation, lipoprotein and bile acid metabolism, and increased endocannabinoid receptor system tone. However, evidence from animal and human studies clearly indicates controversies in determining the cause or effect relationship between the gut microbiota and obesity. Metagenomics based studies indicate that functionality rather than the composition of gut microbiota may be important. Further mechanistic studies controlling for environmental and epigenetic factors are therefore required to help unravel obesity pathogenesis.
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1 retracted
Million, M., Angelakis, E., Maraninchi, M., Henry, M., Giorgi, R., Valero, R., Vialettes, B., & Raoult, D. (2013) · International Journal of Obesity · doi:10.1038/ijo.2013.20 · Cited by 362
RetractedAn 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
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
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
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
Gut 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
Mechanisms 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
Microbiota and SCFA in lean and overweight healthy subjects
Schwiertz, A., Taras, D., Schäfer, K., Beijer, S., Bos, N. A., Donus, C., & Hardt, P. D. (2010) · Obesity · doi:10.1038/oby.2009.167 · Cited by 2,457
Tolhurst, G., Heffron, H., Lam, Y. S., Parker, H. E., Habib, A. M., Diakogiannaki, E., Cameron, J., Grosse, J., Reimann, F., & Gribble, F. M. (2012) · Diabetes · doi:10.2337/db11-1019 · Cited by 2,404
Metabolic Syndrome and Altered Gut Microbiota in Mice Lacking Toll-Like Receptor 5
Vijay-Kumar, M., Aitken, J. D., Carvalho, F. A., Cullender, T. C., Mwangi, S., Srinivasan, S., Sitaraman, S. V., Knight, R., Ley, R. E., & Gewirtz, A. T. (2010) · Science · doi:10.1126/science.1179721 · Cited by 2,068
Dietary-fat-induced taurocholic acid promotes pathobiont expansion and colitis in Il10-/- mice
Devkota, S., Wang, Y., Musch, M. W., Leone, V., Fehlner-Peach, H., Nadimpalli, A., Antonopoulos, D. A., Jabri, B., & Chang, E. B. (2012) · Nature · doi:10.1038/nature11225 · Cited by 1,904
TGR5-Mediated Bile Acid Sensing Controls Glucose Homeostasis
Thomas, C., Gioiello, A., Noriega, L., Strehle, A., Oury, J., Rizzo, G., Macchiarulo, A., Yamamoto, H., Mataki, C., Pruzanski, M., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.08.001 · Cited by 1,885
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 · cited 1×
“Several other studies suggested similar changes in gut microbiota and the presence of genes for lipid metabolism in animal models using different dietary regimens [37, 38, 99] (Table 2).”
ResultSamuel, B. S., Shaito, A., Motoike, T., Rey, F. E., Backhed, F., Manchester, J. K., Hammer, R. E., Williams, S. C., Crowley, J., Yanagisawa, M., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808567105 · Cited by 1,564
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
Armougom, F., Henry, M., Vialettes, B., Raccah, D., & Raoult, D. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007125 · Cited by 905
Ding, S., Chi, M. M., Scull, B. P., Rigby, R., Schwerbrock, N. M. J., Magness, S., Jobin, C., & Lund, P. K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012191 · Cited by 713
Ajslev, T. A., Andersen, C. S., Gamborg, M., Sørensen, T. I. A., & Jess, T. (2011) · International Journal of Obesity · doi:10.1038/ijo.2011.27 · Cited by 534
Gut microbiota modulation with norfloxacin and ampicillin enhances glucose tolerance in mice
Membrez, M., Blancher, F., Jaquet, M., Bibiloni, R., Cani, P. D., Burcelin, R. G., Corthesy, I., Macé, K., & Chou, C. J. (2008) · The FASEB Journal · doi:10.1096/fj.07-102723 · Cited by 493
de Wit, N., Derrien, M., Bosch-Vermeulen, H., Oosterink, E., Keshtkar, S., Duval, C., de Vogel-van den Bosch, J., Kleerebezem, M., Müller, M., & van der Meer, R. (2012) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00488.2011 · Cited by 428
Kong, L.-C., Tap, J., Aron-Wisnewsky, J., Pelloux, V., Basdevant, A., Bouillot, J.-L., Zucker, J.-D., Doré, J., & Clément, K. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.058743 · Cited by 416
A Taxonomic Signature of Obesity in the Microbiome? Getting to the Guts of the Matter
Finucane, M. M., Sharpton, T. J., Laurent, T. J., & Pollard, K. S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084689 · Cited by 321
Gut microbiome-derived metabolites characterize a peculiar obese urinary metabotype
Calvani, R., Miccheli, A., Capuani, G., Tomassini Miccheli, A., Puccetti, C., Delfini, M., Iaconelli, A., Nanni, G., & Mingrone, G. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.44 · Cited by 241
Huang, E. Y., Leone, V. A., Devkota, S., Wang, Y., Brady, M. J., & Chang, E. B. (2013) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607113486931 · Cited by 133
Cited by
Cuevas-Sierra, A., Ramos-Lopez, O., Riezu-Boj, J. I., Milagro, F. I., & Martinez, J. A. (2019) · Advances in Nutrition · doi:10.1093/advances/nmy078 · Cited by 523
Mohr, A. E., Jäger, R., Carpenter, K. C., Kerksick, C. M., Purpura, M., Townsend, J. R., West, N. P., Black, K., Gleeson, M., Pyne, D. B., et al. (2020) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-020-00353-w · Cited by 378
“is observed, leading to the chronic low-grade inflammation often implicated in obesity [69].”
BackgroundBenedé-Ubieto, R., Cubero, F. J., & Nevzorova, Y. A. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2331460 · Cited by 242
Cardiometabolic Benefits of Intermittent Fasting
Varady, K. A., Cienfuegos, S., Ezpeleta, M., & Gabel, K. (2021) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-052020-041327 · Cited by 186
Manca, C., Boubertakh, B., Leblanc, N., Deschênes, T., Lacroix, S., Martin, C., Houde, A., Veilleux, A., Flamand, N., Muccioli, G. G., et al. (2020) · Journal of Lipid Research · doi:10.1194/jlr.ra119000424 · Cited by 152
Metadata
- Authors
- Khan, M. J., Gerasimidis, K., Edwards, C. A., & Shaikh, M. G.
- Venue
- Journal of Obesity
- Publisher
- Wiley
- Published
- 2016
- Volume
- 2016
- Pages
- 1-27
- ISSN
- 2090-0708 (ISSN-L)
- 2090-0716
- OpenAlex
- W2520965303
- Cited by
- 295
- References
- 26
- FWCI
- 11.29
- Type
- journal article
- Language
- en
- Open access
- gold
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