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
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
Kelly, J. R., Kennedy, P. J., Cryan, J. F., Dinan, T. G., Clarke, G., & Hyland, N. P. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00392 · Cited by 1,110
Inflammation: Depression Fans the Flames and Feasts on the Heat
Kiecolt-Glaser, J. K., Derry, H. M., & Fagundes, C. P. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15020152 · Cited by 844
Metabolic Effects of Intermittent Fasting
Patterson, R. E., & Sears, D. D. (2017) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071816-064634 · Cited by 810
Impact of Omega-3 Fatty Acids on the Gut Microbiota
Costantini, L., Molinari, R., Farinon, B., & Merendino, N. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18122645 · Cited by 741
The gut microbiota, obesity and insulin resistance
Shen, J., Obin, M. S., & Zhao, L. (2013) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2012.11.001 · Cited by 599
Saturated fatty acids trigger TLR4-mediated inflammatory response
Rocha, D. M., Caldas, A. P., Oliveira, L. L., Bressan, J., & Hermsdorff, H. H. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2015.11.015 · Cited by 492
RETRACTED ARTICLE: Role of the gut microbiome in chronic diseases: a narrative review
Vijay, A., & Valdes, A. M. (2022) · European Journal of Clinical Nutrition · doi:10.1038/s41430-021-00991-6 · Cited by 361
RetractedThe Intestinal Microenvironment and Functional Gastrointestinal Disorders
Barbara, G., Feinle-Bisset, C., Ghoshal, U. C., Santos, J., Vanner, S. J., Vergnolle, N., Zoetendal, E. G., & Quigley, E. M. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.02.028 · Cited by 335
The neuroendocrinology of the microbiota-gut-brain axis: a behavioural perspective
Cussotto, S., Sandhu, K. V., Dinan, T. G., & Cryan, J. F. (2018) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2018.04.002 · Cited by 326
Stress induces endotoxemia and low-grade inflammation by increasing barrier permeability
de Punder, K., & Pruimboom, L. (2015) · Frontiers in Immunology · doi:10.3389/fimmu.2015.00223 · Cited by 321
Dietary recommendations for the prevention of depression
Opie, R. S., Itsiopoulos, C., Parletta, N., Sanchez-Villegas, A., Akbaraly, T. N., Ruusunen, A., & Jacka, F. N. (2017) · Nutritional Neuroscience · doi:10.1179/1476830515y.0000000043 · Cited by 287
Treatment strategies against diabetes: Success so far and challenges ahead.
Khursheed, R., Singh, S. K., Wadhwa, S., Kapoor, B., Gulati, M., Kumar, R., Ramanunny, A. K., Awasthi, A., & Dua, K. (2019) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2019.172625 · Cited by 239
Jang, L.-G., Choi, G., Kim, S.-W., Kim, B.-Y., Lee, S., & Park, H. (2019) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-019-0290-y · Cited by 224
Seganfredo, F. B., Blume, C. A., Moehlecke, M., Giongo, A., Casagrande, D. S., Spolidoro, J. V. N., Padoin, A. V., Schaan, B. D., & Mottin, C. C. (2017) · Obesity Reviews · doi:10.1111/obr.12541 · Cited by 228
Gastrointestinal inflammation by gut microbiota disturbance induces memory impairment in mice
Jang, S.-E., Lim, S.-M., Jeong, J.-J., Jang, H.-M., Lee, H.-J., Han, M. J., & Kim, D.-H. (2018) · Mucosal Immunology · doi:10.1038/mi.2017.49 · Cited by 190
Pastori, D., Carnevale, R., Nocella, C., Novo, M., Santulli, M., Cammisotto, V., Menichelli, D., Pignatelli, P., & Violi, F. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.005784 · Cited by 182
Bested, A. C., Logan, A. C., & Selhub, E. M. (2013) · Gut Pathogens · doi:10.1186/1757-4749-5-3 · Cited by 121
Microbiota and Probiotics in Health and HIV Infection
D’Angelo, C., Reale, M., & Costantini, E. (2017) · Nutrients · doi:10.3390/nu9060615 · Cited by 97
Zhou, Z.-Y., Ren, L.-W., Zhan, P., Yang, H.-Y., Chai, D.-D., & Yu, Z.-W. (2016) · Acta Pharmacologica Sinica · doi:10.1038/aps.2016.21 · Cited by 92
Sato, H., Zhang, L. S., Martinez, K., Chang, E. B., Yang, Q., Wang, F., Howles, P. N., Hokari, R., Miura, S., & Tso, P. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.07.009 · Cited by 75
Hashemi, Z., Fouhse, J., Im, H., Chan, C., & Willing, B. (2017) · Nutrients · doi:10.3390/nu9111236 · Cited by 70
Mastrocola, R., Ferrocino, I., Liberto, E., Chiazza, F., Cento, A. S., Collotta, D., Querio, G., Nigro, D., Bitonto, V., Cutrin, J. C., et al. (2018) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2018.02.003 · Cited by 68
What is the best diet for cardiovascular wellness? A comparison of different nutritional models
Migliaccio, S., Brasacchio, C., Pivari, F., Salzano, C., Barrea, L., Muscogiuri, G., Savastano, S., Colao, A., & on behalf of Obesity Programs of nutrition, E. (2020) · International Journal of Obesity Supplements · doi:10.1038/s41367-020-0018-0 · Cited by 39
Dimina, L., & Mariotti, F. (2019) · Nutrients · doi:10.3390/nu11091963 · Cited by 41
Evaluation of serum zonulin for use as an early predictor for gestational diabetes
Mokkala, K., Tertti, K., Rönnemaa, T., Vahlberg, T., & Laitinen, K. (2017) · Nutrition & Diabetes · doi:10.1038/nutd.2017.9 · Cited by 41
Plant Foods, Healthy Plant-Based Diets, and Type 2 Diabetes: A Review of the Evidence
del Carmen Fernández-Fígares Jiménez, M. (2024) · Nutrition Reviews · doi:10.1093/nutrit/nuad099 · Cited by 20
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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