The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Non-alcoholic fatty liver disease: a new and important cardiovascular risk factor?
Abstract
Non-alcoholic fatty liver disease (NAFLD) affects up to a third of the population worldwide and may confer increased cardiometabolic risk with consequent adverse cardiovascular outcomes independent of traditional cardiovascular risk factors and the metabolic syndrome. It is characterized almost universally by insulin resistance and is strongly associated with type 2 diabetes and obesity. Non-alcoholic fatty liver disease is a marker of pathological ectopic fat accumulation combined with a low-grade chronic inflammatory state. This results in several deleterious pathophysiological processes including abnormal glucose, fatty acid and lipoprotein metabolism, increased oxidative stress, deranged adipokine profile, hypercoaguability, endothelial dysfunction, and accelerated progression of atherosclerosis. This ultimately leads to a dysfunctional cardiometabolic phenotype with cardiovascular mortality representing the main mode of premature death in NAFLD. This review is aimed at introducing NAFLD to the clinical cardiologist by discussing in-depth the evidence to date linking NAFLD with cardiovascular disease, reviewing the likely mechanisms underlying this association, as well as summarizing from a cardiologist's perspective, current and potential future treatment options for this increasingly prevalent disease.
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Citations
Cites
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Inflammation and insulin resistance
Shoelson, S. E. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29069 · Cited by 4,769
O'Leary, D. H., Polak, J. F., Kronmal, R. A., Manolio, T. A., Burke, G. L., & Wolfson, S. K. (1999) · New England Journal of Medicine · doi:10.1056/nejm199901073400103 · Cited by 4,685
Lorenz, M. W., Markus, H. S., Bots, M. L., Rosvall, M., & Sitzer, M. (2007) · Circulation · doi:10.1161/circulationaha.106.628875 · Cited by 2,977
Effects of Combination Lipid Therapy in Type 2 Diabetes Mellitus
(2010) · New England Journal of Medicine · doi:10.1056/nejmoa1001282 · Cited by 2,837 · cited 1×
“5 should prompt consideration of adding in a fibrate, nicotinic acid, or n-3 PUFA treatment, in addition to statins and lifestyle modification advice.(145) More evidence for optimal thresholds in treating atherogenic dyslipidaemia, common in NAFLD, is needed in younger cohorts and the non-diabetic population.”
MethodMechanisms linking obesity with cardiovascular disease
Van Gaal, L. F., Mertens, I. L., & De Block, C. E. (2006) · Nature · doi:10.1038/nature05487 · Cited by 2,814
Local and systemic insulin resistance resulting from hepatic activation of IKK-β and NF-κB
Cai, D., Yuan, M., Frantz, D. F., Melendez, P. A., Hansen, L., Lee, J., & Shoelson, S. E. (2005) · Nature Medicine · doi:10.1038/nm1166 · Cited by 2,245
Abdominal obesity and the metabolic syndrome: contribution to global cardiometabolic risk
Després, J.-P., Lemieux, I., Bergeron, J., Pibarot, P., Mathieu, P., Larose, E., Rodés-Cabau, J., Bertrand, O. F., & Poirier, P. (2008) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.107.159228 · Cited by 1,589
Intrahepatic fat, not visceral fat, is linked with metabolic complications of obesity
Fabbrini, E., Magkos, F., Mohammed, B. S., Pietka, T., Abumrad, N. A., Patterson, B. W., Okunade, A., & Klein, S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904944106 · Cited by 972
Inflammatory mechanisms in the regulation of insulin resistance
Tilg, H., & Moschen, A. R. (2008) · Molecular Medicine · doi:10.2119/2007-00119.tilg · Cited by 779
Korenblat, K. M., Fabbrini, E., Mohammed, B. S., & Klein, S. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.01.075 · Cited by 592
Insulin resistance and atherosclerosis
Semenkovich, C. F. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29024 · Cited by 481
Epicardial adipose tissue and insulin resistance in obese subjects
Iacobellis, G., & Leonetti, F. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1087 · Cited by 355
Highly Purified Eicosapentaenoic Acid Treatment Improves Nonalcoholic Steatohepatitis
Tanaka, N., Sano, K., Horiuchi, A., Tanaka, E., Kiyosawa, K., & Aoyama, T. (2008) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0b013e31815591aa · Cited by 248
Substantial changes in epicardial fat thickness after weight loss in severely obese subjects
Iacobellis, G., Singh, N., Wharton, S., & Sharma, A. M. (2008) · Obesity · doi:10.1038/oby.2008.251 · Cited by 238 · cited 2×
“Weight reduction through exercise training or a low-calorie diet has been shown to decrease EAT thickness, as well as reduce VAT and increase insulin sensitivity.(118,119) Notably, improvement in LV diastolic function correlated better with EAT than waist circumference reduction.”
BackgroundImpact of visceral adipose tissue on liver metabolism
Lafontan, M., & Girard, J. (2008) · Diabetes & Metabolism · doi:10.1016/j.diabet.2008.04.001 · Cited by 143
Juurinen, L., Tiikkainen, M., Häkkinen, A.-M., Hakkarainen, A., & Yki-Järvinen, H. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00133.2006 · Cited by 141
Sirtori, C. R., Crepaldi, G., Manzato, E., Mancini, M., Rivellese, A., Paoletti, R., Pazzucconi, F., Pamparana, F., & Stragliotto, E. (1998) · Atherosclerosis · doi:10.1016/s0021-9150(97)00298-0 · Cited by 95
Cited by
EASL–EASD–EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease
(2016) · Journal of Hepatology · doi:10.1016/j.jhep.2015.11.004 · Cited by 4,836
Progression of NAFLD to diabetes mellitus, cardiovascular disease or cirrhosis
Anstee, Q. M., Targher, G., & Day, C. P. (2013) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2013.41 · Cited by 1,747
Metabolism disrupting chemicals and metabolic disorders
Heindel, J. J., Blumberg, B., Cave, M., Machtinger, R., Mantovani, A., Mendez, M. A., Nadal, A., Palanza, P., Panzica, G., Sargis, R., et al. (2017) · Reproductive Toxicology · doi:10.1016/j.reprotox.2016.10.001 · Cited by 1,101
Intestinal farnesoid X receptor signaling promotes nonalcoholic fatty liver disease
Jiang, C., Xie, C., Li, F., Zhang, L., Nichols, R. G., Krausz, K. W., Cai, J., Qi, Y., Fang, Z.-Z., Takahashi, S., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci76738 · Cited by 693
Omega-3 Fatty Acids, Hepatic Lipid Metabolism, and Nonalcoholic Fatty Liver Disease
Scorletti, E., & Byrne, C. D. (2013) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071812-161230 · Cited by 326
Self-citation
Metadata
- Authors
- Bhatia, L. S., Curzen, N. P., Calder, P. C., & Byrne, C. D.
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-03-08
- Volume
- 33
- Issue
- 10
- Pages
- 1190-1200
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- OpenAlex
- W2095942397
- Cited by
- 496
- References
- 18
- FWCI
- 34.04
- Type
- journal article
- Language
- en
- Open access
- closed
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