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Quercetin Reduces High‐Fat Diet‐Induced Fat Accumulation in the Liver by Regulating Lipid Metabolism Genes
Abstract
To understand the molecular mechanisms underlying the influence of quercetin on the physiological effects of hyperlipidemia, we investigated its role in the prevention of high‐fat diet (HFD)‐induced obesity and found that it regulated hepatic gene expression related to lipid metabolism. Quercetin supplementation in mice significantly reduced the HFD‐induced gains in body weight, liver weight, and white adipose tissue weight compared with the mice fed only with HFD. It also significantly reduced HFD‐induced increases in serum lipids, including cholesterol, triglyceride, and thiobarbituric acid‐reactive substance (TBARS). Consistent with the reduced liver weight and white adipose tissue weight, hepatic lipid accumulation and the size of lipid droplets in the epididymal fat pads were also reduced by quercetin supplementation. To further investigate how quercetin may reduce obesity, we analyzed lipid metabolism‐related genes in the liver. Quercetin supplementation altered expression profiles of several lipid metabolism‐related genes, including Fnta, Pon1, Pparg, Aldh1b1, Apoa4, Abcg5, Gpam, Acaca, Cd36, Fdft1, and Fasn, relative to those in HFD control mice. The expression patterns of these genes observed by quantitative reverse transcriptase‐polymerase chain reaction were confirmed by immunoblot assays. Collectively, our results indicate that quercetin prevents HFD‐induced obesity in C57B1/6 mice, and its anti‐obesity effects may be related to the regulation of lipogenesis at the level of transcription. Copyright © 2012 John Wiley & Sons, Ltd.
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Cites
Increased oxidative stress in obesity and its impact on metabolic syndrome
Furukawa, S., Fujita, T., Shimabukuro, M., Iwaki, M., Yamada, Y., Nakajima, Y., Nakayama, O., Makishima, M., Matsuda, M., & Shimomura, I. (2004) · Journal of Clinical Investigation · doi:10.1172/jci21625 · Cited by 5,508
The anti-obesity effect of quercetin is mediated by the AMPK and MAPK signaling pathways
Ahn, J., Lee, H., Kim, S., Park, J., & Ha, T. (2008) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2008.06.077 · Cited by 522
Self-citationQuercetin ameliorates metabolic syndrome and improves the inflammatory status in obese Zucker rats
Rivera, L., Morón, R., Sánchez, M., Zarzuelo, A., & Galisteo, M. (2008) · Obesity · doi:10.1038/oby.2008.315 · Cited by 473
The Role of Quercetin, Flavonols and Flavones in Modulating Inflammatory Cell Function
Chirumbolo, S. (2010) · Inflammation & Allergy - Drug Targets · doi:10.2174/187152810793358741 · Cited by 319
Antihypertensive effects of the flavonoid quercetin
Perez-Vizcaino, F., Duarte, J., Jimenez, R., Santos-Buelga, C., & Osuna, A. (2009) · Pharmacological Reports · doi:10.1016/s1734-1140(09)70008-8 · Cited by 316
Antioxidant Properties of Quercetin
Zhang, M., Swarts, S. G., Yin, L., Liu, C., Tian, Y., Cao, Y., Swarts, M., Yang, S., Zhang, S. B., Zhang, K., et al. (2011) · Advances in Experimental Medicine and Biology · doi:10.1007/978-1-4419-7756-4_38 · Cited by 267
Kobori, M., Masumoto, S., Akimoto, Y., & Oike, H. (2011) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201000392 · Cited by 256
Yang, J.-Y., Della-Fera, M. A., Rayalam, S., Ambati, S., Hartzell, D. L., Park, H. J., & Baile, C. A. (2008) · Life Sciences · doi:10.1016/j.lfs.2008.03.003 · Cited by 253
Stewart, L. K., Soileau, J. L., Ribnicky, D., Wang, Z. Q., Raskin, I., Poulev, A., Majewski, M., Cefalu, W. T., & Gettys, T. W. (2008) · Metabolism · doi:10.1016/j.metabol.2008.03.003 · Cited by 219
Goto, T., Lee, J.-Y., Teraminami, A., Kim, Y.-I., Hirai, S., Uemura, T., Inoue, H., Takahashi, N., & Kawada, T. (2011) · Journal of Lipid Research · doi:10.1194/jlr.m011320 · Cited by 217
Kobori, M., Masumoto, S., Akimoto, Y., & Takahashi, Y. (2009) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.200800310 · Cited by 206
Human Paraoxonase-1 Overexpression Inhibits Atherosclerosis in a Mouse Model of Metabolic Syndrome
Mackness, B., Quarck, R., Verreth, W., Mackness, M., & Holvoet, P. (2006) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000222924.62641.aa · Cited by 184
Fatty Acid Synthase: Association with Insulin Resistance, Type 2 Diabetes, and Cancer
Menendez, J. A., Vazquez-Martin, A., Ortega, F. J., & Fernandez-Real, J. M. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.115352 · Cited by 181
Prevention of diet-induced obesity by dietary black tea polyphenols extract in vitro and in vivo
Uchiyama, S., Taniguchi, Y., Saka, A., Yoshida, A., & Yajima, H. (2010) · Nutrition · doi:10.1016/j.nut.2010.01.019 · Cited by 148
Capel, F., Viguerie, N., Véga, N., Dejean, S., Arner, P., Klimčáková, E., Martínez, J. A., Saris, W. H. M., Holst, C., Taylor, M. A., et al. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0814 · Cited by 90
Yang, D., Chang, Y., Hsu, C., Liu, C., Lin, Y., Lin, Y., Liu, K., & Chen, Y. (2010) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf903355q · Cited by 87
[Obesity and oxidative stress: role of antioxidant supplementation].
Valdecantos, M. P., Pérez‐Matute, P., & Martínez, J. A. (2009) · PubMed · Cited by 67
[Obesity and oxidative stress: role of antioxidant supplementation].
Valdecantos, M. P., Pérez‐Matute, P., & Martínez, J. A. (2009) · PubMed · Cited by 60
Hillgartner, F. B., Charron, T., & Chesnut, K. A. (1996) · Biochemical Journal · doi:10.1042/bj3190263 · Cited by 54
Resveratrol: a relevant pharmacological approach for the treatment of metabolic syndrome?
Beaudeux, J., Nivet‐Antoine, V., & Giral, P. (2010) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e32833ef291 · Cited by 46
Expression profiling of hepatic genes associated with lipid metabolism in nephrotic rats
Zhou, Y., Zhang, X., Chen, L., Wu, J., Dang, H., Wei, M., Fan, Y., Zhang, Y., Zhu, Y., Wang, N., et al. (2008) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00046.2008 · Cited by 45
Cited by
RETRACTED: Quercetin: A flavonol with multifaceted therapeutic applications?
D'Andrea, G. (2015) · Fitoterapia · doi:10.1016/j.fitote.2015.09.018 · Cited by 721
RetractedAlvarez-Suarez, J., Giampieri, F., & Battino, M. (2013) · Current Medicinal Chemistry · doi:10.2174/092986713804999358 · Cited by 332
Therapeutic Effects of Quercetin on Inflammation, Obesity, and Type 2 Diabetes
Chen, S., Jiang, H., Wu, X., & Fang, J. (2016) · Mediators of Inflammation · doi:10.1155/2016/9340637 · Cited by 300
Tomato (Solanum lycopersicum L.) seed: A review on bioactives and biomedical activities
Kumar, M., Tomar, M., Bhuyan, D. J., Punia, S., Grasso, S., Sá, A. G. A., Carciofi, B. A. M., Arrutia, F., Changan, S., Radha, et al. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.112018 · Cited by 130
High protein diet is of benefit for patients with type 2 diabetes: An updated meta-analysis
Zhao, W.-T., Luo, Y., Zhang, Y., Zhou, Y., & Zhao, T.-T. (2018) · Medicine · doi:10.1097/md.0000000000013149 · Cited by 38
Metadata
- Authors
- Jung, C. H., Cho, I., Ahn, J., Jeon, T., & Ha, T.
- Venue
- Phytotherapy Research
- Publisher
- Wiley
- Published
- 2012-03-23
- Volume
- 27
- Issue
- 1
- Pages
- 139-143
- ISSN
- 0951-418X (ISSN-L)
- 1099-1573
- OpenAlex
- W1533556857
- Cited by
- 265
- References
- 21
- FWCI
- 11.74
- Type
- journal article
- Language
- en
- Open access
- closed
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