The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Peroxisome Proliferator-Activated Receptor Targets for the Treatment of Metabolic Diseases
Open accessAbstract
Metabolic syndrome is estimated to affect more than one in five adults, and its prevalence is growing in the adult and pediatric populations. The most widely recognized metabolic risk factors are atherogenic dyslipidemia, elevated blood pressure, and elevated plasma glucose. Individuals with these characteristics commonly manifest a prothrombotic state and a proinflammatory state as well. Peroxisome proliferator-activated receptors (PPARs) may serve as potential therapeutic targets for treating the metabolic syndrome and its related risk factors. The PPARs are transcriptional factors belonging to the ligand-activated nuclear receptor superfamily. So far, three isoforms of PPARs have been identified, namely, PPAR-α, PPAR-β/δ, and PPAR-γ. Various endogenous and exogenous ligands of PPARs have been identified. PPAR-α and PPAR-γ are mainly involved in regulating lipid metabolism, insulin sensitivity, and glucose homeostasis, and their agonists are used in the treatment of hyperlipidemia and T2DM. Whereas PPAR-β/δ function is to regulate lipid metabolism, glucose homeostasis, anti-inflammation, and fatty acid oxidation and its agonists are used in the treatment of metabolic syndrome and cardiovascular diseases. This review mainly focuses on the biological role of PPARs in gene regulation and metabolic diseases, with particular focus on the therapeutic potential of PPAR modulators in the treatment of thrombosis.
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Cites
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
Insulin signalling and the regulation of glucose and lipid metabolism
Saltiel, A. R., & Kahn, C. R. (2001) · Nature · doi:10.1038/414799a · Cited by 5,326
Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome
Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., Taskinen, M.-R., & Groop, L. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.683 · Cited by 4,760
Activation of a member of the steroid hormone receptor superfamily by peroxisome proliferators
Issemann, I., & Green, S. (1990) · Nature · doi:10.1038/347645a0 · Cited by 3,519
Rubins, H. B., Robins, S. J., Collins, D., Fye, C. L., Anderson, J. W., Elam, M. B., Faas, F. H., Linares, E., Schaefer, E. J., Schectman, G., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199908053410604 · Cited by 3,439
Braissant, O., Foufelle, F., Scotto, C., Dauça, M., & Wahli, W. (1996) · Endocrinology · doi:10.1210/endo.137.1.8536636 · Cited by 2,217
Kliewer, S. A., Sundseth, S. S., Jones, S. A., Brown, P. J., Wisely, G. B., Koble, C. S., Devchand, P., Wahli, W., Willson, T. M., Lenhard, J. M., et al. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.9.4318 · Cited by 2,164
Macrophage-specific PPARγ controls alternative activation and improves insulin resistance
Odegaard, J. I., Ricardo-Gonzalez, R. R., Goforth, M. H., Morel, C. R., Subramanian, V., Mukundan, L., Eagle, A. R., Vats, D., Brombacher, F., Ferrante, A. W., et al. (2007) · Nature · doi:10.1038/nature05894 · Cited by 2,107 · cited 1×
“In fact, inflammation a major determinant of health complications seen in overweight and obesity, which underscores the link between nutrition, metabolic organs, and the immune system, can be regulated by PPARs targets [19–21].”
Fat and Beyond: The Diverse Biology of PPARγ
Tontonoz, P., & Spiegelman, B. M. (2008) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.061307.091829 · Cited by 2,085
Roles of PPARs in health and disease
Kersten, S., Desvergne, B., & Wahli, W. (2000) · Nature · doi:10.1038/35013000 · Cited by 1,956
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Metadata
- Authors
- Monsalve, F. A., Pyarasani, R. D., Delgado-Lopez, F., & Moore-Carrasco, R.
- Venue
- Mediators of Inflammation
- Publisher
- Wiley
- Published
- 2013
- Volume
- 2013
- Pages
- 1-18
- ISSN
- 0962-9351 (ISSN-L)
- 1466-1861
- OpenAlex
- W1991932125
- Cited by
- 354
- References
- 26
- FWCI
- 12.78
- Type
- journal article
- Language
- en
- Open access
- gold
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