The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Influence of a high-fat diet on gut microbiota, intestinal permeability and metabolic endotoxaemia
Open accessAbstract
Lipopolysaccharide (LPS) may play an important role in chronic diseases through the activation of inflammatory responses. The type of diet consumed is of major concern for the prevention and treatment of these diseases. Evidence from animal and human studies has shown that LPS can diffuse from the gut to the circulatory system in response to the intake of high amounts of fat. The method by which LPS move into the circulatory system is either through direct diffusion due to intestinal paracellular permeability or through absorption by enterocytes during chylomicron secretion. Considering the impact of metabolic diseases on public health and the association between these diseases and the levels of LPS in the circulatory system, this review will mainly discuss the current knowledge about high-fat diets and subclinical inflammation. It will also describe the new evidence that correlates gut microbiota, intestinal permeability and alkaline phosphatase activity with increased blood LPS levels and the biological effects of this increase, such as insulin resistance. Although the majority of the studies published so far have assessed the effects of dietary fat, additional studies are necessary to deepen the understanding of how the amount, the quality and the structure of the fat may affect endotoxaemia. The potential of food combinations to reduce the negative effects of fat intake should also be considered in future studies. In these studies, the effects of flavonoids, prebiotics and probiotics on endotoxaemia should be investigated. Thus, it is essential to identify dietetic strategies capable of minimising endotoxaemia and its postprandial inflammatory effects.
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Citations
Cites
Inflammation and Atherosclerosis
Libby, P., Ridker, P. M., & Maseri, A. (2002) · Circulation · doi:10.1161/hc0902.104353 · Cited by 7,724
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
TLR4 links innate immunity and fatty acid-induced insulin resistance
Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., & Flier, J. S. (2006) · Journal of Clinical Investigation · doi:10.1172/jci28898 · Cited by 3,690
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
Inflammation: the link between insulin resistance, obesity and diabetes
Dandona, P. (2004) · Trends in Immunology · doi:10.1016/j.it.2003.10.013 · Cited by 2,170
Inflammation and Activated Innate Immunity in the Pathogenesis of Type 2 Diabetes
Pickup, J. C. (2004) · Diabetes Care · doi:10.2337/diacare.27.3.813 · Cited by 1,414
The indigenous gastrointestinal microflora
Berg, R. (1996) · Trends in Microbiology · doi:10.1016/0966-842x(96)10057-3 · Cited by 1,153 · cited 1×
“Consequently, it is possible to detect more than 1 g of LPS in the intestinal lumen((16,17)).”
BackgroundCreely, S. J., McTernan, P. G., Kusminski, C. M., Fisher, F. M., Da Silva, N. F., Khanolkar, M., Evans, M., Harte, A. L., & Kumar, S. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00302.2006 · Cited by 1,043
Insulin Resistance and Hyperinsulinemia
Shanik, M. H., Xu, Y., Škrha, J., Dankner, R., Zick, Y., & Roth, J. (2008) · Diabetes Care · doi:10.2337/dc08-s264 · Cited by 791
Inflammatory pathways and insulin action
Hotamisligil, G. S. (2003) · International Journal of Obesity · doi:10.1038/sj.ijo.0802502 · Cited by 717
Chylomicrons promote intestinal absorption of lipopolysaccharides
Ghoshal, S., Witta, J., Zhong, J., de Villiers, W., & Eckhardt, E. (2009) · Journal of Lipid Research · doi:10.1194/jlr.m800156-jlr200 · Cited by 662
Insulin resistance is a cellular antioxidant defense mechanism
Hoehn, K. L., Salmon, A. B., Hohnen-Behrens, C., Turner, N., Hoy, A. J., Maghzal, G. J., Stocker, R., Van Remmen, H., Kraegen, E. W., Cooney, G. J., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902380106 · Cited by 540
Ghanim, H., Abuaysheh, S., Sia, C. L., Korzeniewski, K., Chaudhuri, A., Fernandez-Real, J. M., & Dandona, P. (2009) · Diabetes Care · doi:10.2337/dc09-0979 · Cited by 494
Lorenzo-Zúñiga, V., Bartolí, R., Planas, R., Hofmann, A. F., Viñado, B., Hagey, L. R., Hernández, J. M., Mañé, J., Alvarez, M. A., Ausina, V., et al. (2003) · Hepatology · doi:10.1053/jhep.2003.50116 · Cited by 321
Lactobacillus plantarum strain No. 14 reduces adipocyte size in mice fed high-fat diet
Takemura, N., Okubo, T., & Sonoyama, K. (2010) · Experimental Biology and Medicine · doi:10.1258/ebm.2010.009377 · Cited by 163
Cited by
Mechanisms Regulating Intestinal Barrier Integrity and Its Pathological Implications
Chelakkot, C., Ghim, J., & Ryu, S. H. (2018) · Experimental & Molecular Medicine · doi:10.1038/s12276-018-0126-x · Cited by 2,017
Intestinal permeability – a new target for disease prevention and therapy
Bischoff, S. C., Barbara, G., Buurman, W., Ockhuizen, T., Schulzke, J.-D., Serino, M., Tilg, H., Watson, A., & Wells, J. M. (2014) · BMC Gastroenterology · doi:10.1186/s12876-014-0189-7 · Cited by 1,755
Chait, A., & den Hartigh, L. J. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.00022 · Cited by 1,529
The impact of diet and lifestyle on gut microbiota and human health
Conlon, M., & Bird, A. (2014) · Nutrients · doi:10.3390/nu7010017 · Cited by 1,567
So depression is an inflammatory disease, but where does the inflammation come from?
Berk, M., Williams, L. J., Jacka, F. N., O’Neil, A., Pasco, J. A., Moylan, S., Allen, N. B., Stuart, A. L., Hayley, A. C., Byrne, M. L., et al. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-200 · Cited by 1,423
Metadata
- Authors
- Moreira, A. P. B., Texeira, T. F. S., Ferreira, A. B., do Carmo Gouveia Peluzio, M., & de Cássia Gonçalves Alfenas, R.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2012-04-16
- Volume
- 108
- Issue
- 5
- Pages
- 801-809
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2023007981
- Cited by
- 655
- References
- 15
- FWCI
- 9.87
- Type
- journal article
- Language
- en
- Open access
- bronze
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