Increase in Plasma Endotoxin Concentrations and the Expression of Toll-Like Receptors and Suppressor of Cytokine Signaling-3 in Mononuclear Cells After a High-Fat, High-Carbohydrate Meal
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OBJECTIVE: To compare the effect of a high-fat, high-carbohydrate meal (HFHC) with that of a high-fiber and fruit meal on the concentrations of endotoxin (lipopolysaccharide [LPS]), LPS-binding protein (LBP), the expression of toll-like receptors (TLRs), and the suppressor of cytokine signaling-3 (SOCS-3) in mononuclear cells. RESEARCH DESIGN AND METHODS: Healthy lean subjects were given 910 calories of either an HFHC meal (n = 10) or an American Heart Association (AHA)-recommended meal rich in fiber and fruit (n = 10) after an overnight fast. Blood was collected before and at 1, 2, and 3 h after the meal. Cellular indexes of oxidative and inflammatory stress; the expression of SOCS-3, TLR2, and TLR4 in mononuclear cells; and plasma concentrations of LPS and LBP were measured. RESULTS: HFHC meal intake induced an increase in plasma LPS concentration and the expression of SOCS-3, TLR2, and TLR4 protein, reactive oxygen species generation, and nuclear factor-kappaB binding activity (P < 0.05 for all). These increases were totally absent after the AHA meal rich in fiber and fruit. CONCLUSIONS: The novel changes described after the HFHC meal elucidate further the mechanisms underlying postprandial inflammation and also provide the first evidence explaining the pathogenesis of insulin and leptin resistance mediated by SOCS-3 after such meals. In contrast, an AHA meal does not induce these effects.
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Exclusion of high-fat, high-carbohydrate foods known to induce endotoxemia and inflammation may be a primary factor in the reductions in endotoxemia/inflammation after bariatric surgery.
“Exclusion of high-fat, high-carbohydrate foods known to induce endotoxemia and inflammation may be a primary factor [129].”
From Bariatric surgery: remission of inflammation, cardiometabolic benefits, and common adverse effects (2020) · cites this paper as [129]
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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 · see citing works
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 · see citing works
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 · see citing works
Self-citationDandona, P., Aljada, A., Chaudhuri, A., Mohanty, P., & Garg, R. (2005) · Circulation · doi:10.1161/01.cir.0000158483.13093.9d · Cited by 1,263 · see citing works
Self-citationCreely, 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 · see citing works
Edfeldt, K., Swedenborg, J., Hansson, G. K., & Yan, Z.-Q. (2002) · PubMed · Cited by 847 · see citing works
Expression of Toll-Like Receptors in Human Atherosclerotic Lesions
Edfeldt, K., Swedenborg, J., Hansson, G. K., & Yan, Z.-Q. (2002) · Circulation · doi:10.1161/circ.105.10.1158 · Cited by 706 · see citing works
Dandona, P., Aljada, A., Mohanty, P., Ghanim, H., Hamouda, W., Assian, E., & Ahmad, S. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.7.7623 · Cited by 695 · see citing works
Self-citationXu, X.-O. H., Shah, P. K., Faure, E., Equils, O., Thomas, L. S., Fishbein, M. C., Luthringer, D., Xu, X., Rajavashisth, T. B., Yano, J., et al. (2001) · Circulation · doi:10.1161/hc5001.100631 · Cited by 668 · see citing works
The role of SOCS-3 in leptin signaling and leptin resistance
Bjørbæk, C., El-Haschimi, K., Frantz, J. D., & Flier, J. S. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.42.30059 · Cited by 639 · see citing works
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Ghanim, H., Aljada, A., Hofmeyer, D., Syed, T., Mohanty, P., & Dandona, P. (2004) · Circulation · doi:10.1161/01.cir.0000142055.53122.fa · Cited by 611 · see citing works
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Janssens, S., & Beyaert, R. (2003) · Clinical Microbiology Reviews · doi:10.1128/cmr.16.4.637-646.2003 · Cited by 575 · see citing works
High Glucose Induces Toll-Like Receptor Expression in Human Monocytes
Dasu, M. R. K., Devaraj, S., Zhao, L., Hwang, D. H., & Jialal, I. (2008) · Diabetes · doi:10.2337/db08-0564 · Cited by 436 · see citing works
Ueki, K., Kondo, T., Tseng, Y., & Kahn, C. R. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402511101 · Cited by 382 · see citing works
Devaraj, S., Dasu, M. R. K., Rockwood, J., Winter, W. E., Griffen, S. C., & Jialal, I. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2185 · Cited by 374 · see citing works
Patel, C., Ghanim, H., Ravishankar, S. T., Sia, C. L., Viswanathan, P., Mohanty, P., & Dandona, P. (2007) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-0778 · Cited by 221 · see citing works
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Hallman, M., Rämet, M., & Ezekowitz, R. A. B. (2001) · Pediatric Research · doi:10.1203/00006450-200109000-00004 · Cited by 146 · see citing works
Caricilli, A. M., Nascimento, P. H., Pauli, J. R., Tsukumo, D. M. L., Velloso, L. A., Carvalheira, J. B. C., & Saad, M. J. A. (2008) · Journal of Endocrinology · doi:10.1677/joe-08-0354 · Cited by 141 · see citing works
Enhanced peripheral vasodilation in humans after a fatty meal
Raitakari, O. T., Lai, N. C. H., Griffiths, K. A., McCredie, R. J., SULLIVAN, D. R., & Celermajer, D. S. (2000) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(00)00758-0 · Cited by 123 · see citing works
Acute Modulation of Toll-Like Receptors by Insulin
Ghanim, H., Mohanty, P., Deopurkar, R., Sia, C. L., Korzeniewski, K., Abuaysheh, S., Chaudhuri, A., & Dandona, P. (2008) · Diabetes Care · doi:10.2337/dc08-0561 · Cited by 123 · see citing works
Self-citationGhanim, H., Aljada, A., Daoud, N., Deopurkar, R., Chaudhuri, A., & Dandona, P. (2007) · Diabetologia · doi:10.1007/s00125-006-0508-9 · Cited by 96 · see citing works
Chronic Systemic Inflammation in Overweight and Obese Adults
Vgontzas, A. N., Bixler, E. O., Papanicolaou, D. A., & Chrousos, G. P. (2000) · JAMA · doi:10.1001/jama.283.17.2235-c · Cited by 87 · see citing works
Orange Juice or Fructose Intake Does Not Induce Oxidative and Inflammatory Response
Ghanim, H., Mohanty, P., Pathak, R. D., Chaudhuri, A., Sia, C. L., & Dandona, P. (2007) · Diabetes Care · doi:10.2337/dc06-1458 · Cited by 86 · see citing works
Self-citationGubern, C. (2006) · Diabetes · doi:10.2337/diabetes.55.1.216 · Cited by 86 · see citing works
A Rapid, Specific assay for Superoxide Release from Phagocytes in Small Volumes of Whole Blood
Tosi, M. F., & Hamedani, A. (1992) · American Journal of Clinical Pathology · doi:10.1093/ajcp/97.4.566 · Cited by 57 · see citing works
(2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506917102 · Cited by 11 · see citing works
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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 · see citing works
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Musso, G., Gambino, R., & Cassader, M. (2011) · Annual Review of Medicine · doi:10.1146/annurev-med-012510-175505 · Cited by 598 · see citing works
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Age-related changes in glucose metabolism, hyperglycemia, and cardiovascular risk
Chia, C. W., Egan, J. M., & Ferrucci, L. (2018) · Circulation Research · doi:10.1161/circresaha.118.312806 · Cited by 454 · see citing works
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Gomes, A. C., Bueno, A. A., de Souza, R. G. M., & Mota, J. F. (2014) · Nutrition Journal · doi:10.1186/1475-2891-13-60 · Cited by 363 · see citing works
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Juul, F., Vaidean, G., & Parekh, N. (2021) · Advances in Nutrition · doi:10.1093/advances/nmab049 · Cited by 374 · see citing works
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Miura, K. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i23.7381 · Cited by 355 · see citing works
The “Big Bang” in obese fat: events initiating obesity-induced adipose tissue inflammation
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The western diet and lifestyle and diseases of civilization
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Vors, C., Pineau, G., Drai, J., Meugnier, E., Pesenti, S., Laville, M., Laugerette, F., Malpuech-Brugère, C., Vidal, H., & Michalski, M.-C. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-2518 · Cited by 159 · see citing works
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Nagpal, R., Kumar, M., Yadav, A. K., Hemalatha, R., Yadav, H., Marotta, F., & Yamashiro, Y. (2016) · Beneficial Microbes · doi:10.3920/bm2015.0062 · Cited by 97 · see citing works
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Liebold, I., Meyer, S., Heine, M., Kuhl, A., Witt, J., Eissing, L., Fischer, A., Koop, A., Kluwe, J., Schulze zur Wiesch, J., et al. (2023) · Cells · doi:10.3390/cells12030341 · Cited by 55 · see citing works
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- Authors
- Ghanim, H., Abuaysheh, S., Sia, C. L., Korzeniewski, K., Chaudhuri, A., Fernandez-Real, J. M., & Dandona, P.
- Affiliations
- Kaleida Health (US)
- Division of Endocrinology, Diabetes and Metabolism, State University of New York at Buffalo, and Kaleida Health, Buffalo, New York;
- Institut d'Investigació Biomèdica de Girona (ES)
- Corresponding author
- Dandona, Paresh
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2009-09-15
- Volume
- 32
- Issue
- 12
- Pages
- 2281-2287
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC2782991
- OpenAlex
- W2083260532
- Cited by
- 494
- References
- 26
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 25 · 2023: 24 · 2022: 27 · 2021: 34 · 2020: 25 · 2019: 30 · 2018: 35 · 2017: 30 · 2016: 44 · 2015: 32 · 2014: 39 · 2013: 37 · 2012: 28
- FWCI
- 18.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- lipopolysaccharide, endotoxin, TLR2, TLR4, SOCS3, mononuclear cells, postprandial inflammation, dietary fiber, oxidative stress, NF-κB, insulin resistance, leptin resistance, LPS-binding protein
- MeSH terms
- Suppressor of Cytokine Signaling 3 Protein, Adult, Blood Glucose, Dietary Carbohydrates, Dietary Fats, Dietary Fiber, Endotoxins, Female, Fruit, Humans, Insulin, Insulin Resistance, Lipopolysaccharides, Male, Middle Aged, Reference Values, Thiobarbituric Acid Reactive Substances, Oxidative Stress, Suppressor of Cytokine Signaling Proteins, Toll-Like Receptor 2, Toll-Like Receptor 4, Young Adult
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