The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Dietary Anthocyanins against Obesity and Inflammation
Open accessAbstract
Chronic low-grade inflammation plays a pivotal role in the pathogenesis of obesity, due to its associated chronic diseases such as type II diabetes, cardiovascular diseases, pulmonary diseases and cancer. Thus, targeting inflammation is an attractive strategy to counter the burden of obesity-induced health problems. Recently, food-derived bioactive compounds have been spotlighted as a regulator against various chronic diseases due to their low toxicity, as opposed to drugs that induce severe side effects. Here we describe the beneficial effects of dietary anthocyanins on obesity-induced metabolic disorders and inflammation. Red cabbage microgreen, blueberry, blackcurrant, mulberry, cherry, black elderberry, black soybean, chokeberry and jaboticaba peel contain a variety of anthocyanins including cyanidins, delphinidins, malvidins, pelargonidins, peonidins and petunidins, and have been reported to alter both metabolic markers and inflammatory markers in cells, animals, and humans. This review discusses the interplay between inflammation and obesity, and their subsequent regulation via the use of dietary anthocyanins, suggesting an alternative dietary strategy to ameliorate obesity and obesity associated chronic diseases.
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Cites
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Bioavailability and bioefficacy of polyphenols in humans. I. Review of 97 bioavailability studies
Manach, C., Williamson, G., Morand, C., Scalbert, A., & Rémésy, C. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/81.1.230s · Cited by 4,219 · cited 1×
“Newly identified anthocyanin metabolites contribute to the improvement of human health [57].”
BackgroundFinucane, M. M., Stevens, G. A., Cowan, M. J., Danaei, G., Lin, J. K., Paciorek, C. J., Singh, G. M., Gutierrez, H. R., Lu, Y., Bahalim, A. N., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62037-5 · Cited by 4,050
Inflammatory Mechanisms in Obesity
Gregor, M. F., & Hotamisligil, G. S. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101322 · Cited by 3,754
Inflammatory links between obesity and metabolic disease
Lumeng, C. N., & Saltiel, A. R. (2011) · Journal of Clinical Investigation · doi:10.1172/jci57132 · Cited by 2,319
Afaq, F., Saleem, M., Krueger, C. G., Reed, J. D., & Mukhtar, H. (2005) · International Journal of Cancer · doi:10.1002/ijc.20587 · Cited by 439
DeFuria, J., Bennett, G., Strissel, K. J., James, W. P., Milbury, P. E., Greenberg, A. S., & Obin, M. S. (2009) · The Journal of Nutrition · doi:10.3945/jn.109.105155 · Cited by 313
Cited by
High fat diet induced obesity model using four strains of mice: Kunming, C57BL/6, BALB/c and ICR
Li, J., Wu, H., Liu, Y., & Yang, L. (2020) · Experimental Animals · doi:10.1538/expanim.19-0148 · Cited by 266
Metadata
- Authors
- Lee, Y.-M., Yoon, Y., Yoon, H., Park, H.-M., Song, S., & Yeum, K.-J.
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2017-10-01
- Volume
- 9
- Issue
- 10
- Pages
- 1089
- ISSN
- 2072-6643 (ISSN-L)
- OpenAlex
- W2758211676
- Cited by
- 350
- References
- 7
- FWCI
- 16.04
- Type
- journal article
- Language
- en
- Open access
- gold
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