The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Human epicardial adipose tissue expresses a pathogenic profile of adipocytokines in patients with cardiovascular disease
Open accessAbstract
Introduction: Inflammation contributes to cardiovascular disease and is exacerbated with increased adiposity, particularly omental adiposity; however, the role of epicardial fat is poorly understood. Methods: For these studies the expression of inflammatory markers was assessed in epicardial fat biopsies from coronary artery bypass grafting (CABG) patients using quantitative RT-PCR. Further, the effects of chronic medications, including statins, as well as peri-operative glucose, insulin and potassium infusion, on gene expression were also assessed. Circulating resistin, CRP, adiponectin and leptin levels were determined to assess inflammation. Results: The expression of adiponectin, resistin and other adipocytokine mRNAs were comparable to that in omental fat. Epicardial CD45 expression was significantly higher than control depots (p < 0.01) indicating significant infiltration of macrophages. Statin treated patients showed significantly lower epicardial expression of IL-6 mRNA, in comparison with the control abdominal depots (p < 0.001). The serum profile of CABG patients showed significantly higher levels of both CRP (control: 1.28 ± 1.57 μg/mL vs CABG: 9.11 ± 15.7 μg/mL; p < 0.001) and resistin (control: 10.53 ± 0.81 ng/mL vs CABG: 16.8 ± 1.69 ng/mL; p < 0.01) and significantly lower levels of adiponectin (control: 29.1 ± 14.8 μg/mL vs CABG: 11.9 ± 6.0 μg/mL; p < 0.05) when compared to BMI matched controls. Conclusion: Epicardial and omental fat exhibit a broadly comparable pathogenic mRNA profile, this may arise in part from macrophage infiltration into the epicardial fat. This study highlights that chronic inflammation occurs locally as well as systemically potentially contributing further to the pathogenesis of coronary artery disease.
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Obesity is associated with macrophage accumulation in adipose tissue
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Plasma Concentrations of a Novel, Adipose-Specific Protein, Adiponectin, in Type 2 Diabetic Patients
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Human epicardial adipose tissue is a source of inflammatory mediators
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Cited by
Overview of Epidemiology and Contribution of Obesity to Cardiovascular Disease
Bastien, M., Poirier, P., Lemieux, I., & Després, J.-P. (2014) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2013.10.016 · Cited by 1,125
Stern, J. H., Rutkowski, J. M., & Scherer, P. E. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.04.011 · Cited by 1,031
Thyroid hormones and cardiovascular disease
Jabbar, A., Pingitore, A., Pearce, S. H. S., Zaman, A., Iervasi, G., & Razvi, S. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2016.174 · Cited by 729
Echocardiographic epicardial fat: a review of research and clinical applications
Iacobellis, G., & Willens, H. J. (2009) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2009.10.013 · Cited by 700
Local and systemic effects of the multifaceted epicardial adipose tissue depot
Iacobellis, G. (2015) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.58 · Cited by 605
Metadata
- Authors
- Baker, A. R., da Silva, N. F., Quinn, D. W., Harte, A. L., Pagano, D., Bonser, R. S., Kumar, S., & McTernan, P. G.
- Venue
- Cardiovascular Diabetology
- Published
- 2006-01-13
- Volume
- 5
- Issue
- 1
- Pages
- 1-1
- ISSN
- 1475-2840 (ISSN-L)
- OpenAlex
- W1580333814
- Cited by
- 649
- References
- 38
- FWCI
- 17.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Baker, A. R., da Silva, N. F., Quinn, D. W., Harte, A. L., Pagano, D., Bonser, R. S., Kumar, S., & McTernan, P. G. (2006). Human epicardial adipose tissue expresses a pathogenic profile of adipocytokines in patients with cardiovascular disease. Cardiovascular Diabetology. https://doi.org/10.1186/1475-2840-5-1
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
