The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Gut microbiota controls adipose tissue expansion, gut barrier and glucose metabolism: novel insights into molecular targets and interventions using prebiotics
Open accessAbstract
Crosstalk between organs is crucial for controlling numerous homeostatic systems (e.g. energy balance, glucose metabolism and immunity). Several pathological conditions, such as obesity and type 2 diabetes, are characterised by a loss of or excessive inter-organ communication that contributes to the development of disease. Recently, we and others have identified several mechanisms linking the gut microbiota with the development of obesity and associated disorders (e.g. insulin resistance, type 2 diabetes, hepatic steatosis). Among these, we described the concept of metabolic endotoxaemia (increase in plasma lipopolysaccharide levels) as one of the triggering factors leading to the development of metabolic inflammation and insulin resistance. Growing evidence suggests that gut microbes contribute to the onset of low-grade inflammation characterising these metabolic disorders via mechanisms associated with gut barrier dysfunctions. We have demonstrated that enteroendocrine cells (producing glucagon-like peptide-1, peptide YY and glucagon-like peptide-2) and the endocannabinoid system control gut permeability and metabolic endotoxaemia. Recently, we hypothesised that specific metabolic dysregulations occurring at the level of numerous organs (e.g. gut, adipose tissue, muscles, liver and brain) rely from gut microbiota modifications. In this review, we discuss the mechanisms linking gut permeability, adipose tissue metabolism, and glucose homeostasis, and recent findings that show interactions between the gut microbiota, the endocannabinoid system and the apelinergic system. These specific systems are discussed in the context of the gut-to-peripheral organ axis (intestine, adipose tissue and brain) and impacts on metabolic regulation. In the present review, we also briefly describe the impact of a variety of non-digestible nutrients (i.e. inulin-type fructans, arabinoxylans, chitin glucans and polyphenols). Their effects on the composition of the gut microbiota and activity are discussed in the context of obesity and type 2 diabetes.
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Cites
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
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
Cani, P. D., Bibiloni, R., Knauf, C., Waget, A., Neyrinck, A. M., Delzenne, N. M., & Burcelin, R. (2008) · Diabetes · doi:10.2337/db07-1403 · Cited by 4,819
Self-citationFunctional interactions between the gut microbiota and host metabolism
Tremaroli, V., & Bäckhed, F. (2012) · Nature · doi:10.1038/nature11552 · Cited by 4,387
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
Cani, P. D., Possemiers, S., Van de Wiele, T., Guiot, Y., Everard, A., Rottier, O., Geurts, L., Naslain, D., Neyrinck, A., Lambert, D. M., et al. (2009) · Gut · doi:10.1136/gut.2008.165886 · Cited by 2,518
Self-citationThe orphan receptor GPR55 is a novel cannabinoid receptor
Ryberg, E., Larsson, N., Sjögren, S., Hjorth, S., Hermansson, N., Leonova, J., Elebring, T., Nilsson, K., Drmota, T., & Greasley, P. J. (2007) · British Journal of Pharmacology · doi:10.1038/sj.bjp.0707460 · Cited by 1,568
Samuel, 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
Ogden, C. L., Yanovski, S. Z., Carroll, M. D., & Flegal, K. M. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.03.052 · Cited by 1,561
Interaction between Phenolics and Gut Microbiota: Role in Human Health
Selma, M. V., Espín, J. C., & Tomás-Barberán, F. A. (2009) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf902107d · Cited by 1,324
Cited by
Roopchand, D. E., Carmody, R. N., Kuhn, P., Moskal, K., Rojas-Silva, P., Turnbaugh, P. J., & Raskin, I. (2015) · Diabetes · doi:10.2337/db14-1916 · Cited by 678
Lu, Y., Fan, C., Li, P., Lu, Y., Chang, X., & Qi, K. (2016) · Scientific Reports · doi:10.1038/srep37589 · Cited by 638
Evans, C. C., LePard, K. J., Kwak, J. W., Stancukas, M. C., Laskowski, S., Dougherty, J., Moulton, L., Glawe, A., Wang, Y., Leone, V., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092193 · Cited by 587
Collective unconscious: How gut microbes shape human behavior
Dinan, T. G., Stilling, R. M., Stanton, C., & Cryan, J. F. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.02.021 · Cited by 571
Contribution of adipogenesis to healthy adipose tissue expansion in obesity
Vishvanath, L., & Gupta, R. K. (2019) · Journal of Clinical Investigation · doi:10.1172/jci129191 · Cited by 558
Metadata
- Authors
- Geurts, L., Neyrinck, A. M., Delzenne, N. M., Knauf, C., & Cani, P. D.
- Venue
- Beneficial Microbes
- Publisher
- Walter de Gruyter GmbH
- Published
- 2014-03-01
- Volume
- 5
- Issue
- 1
- Pages
- 3-18
- ISSN
- 1876-2883 (ISSN-L)
- 1876-2891
- OpenAlex
- W2172007048
- Cited by
- 277
- References
- 19
- FWCI
- 10.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Geurts, L., Neyrinck, A. M., Delzenne, N. M., Knauf, C., & Cani, P. D. (2014). Gut microbiota controls adipose tissue expansion, gut barrier and glucose metabolism: novel insights into molecular targets and interventions using prebiotics. Beneficial Microbes. https://doi.org/10.3920/bm2012.0065
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