The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Interleukin-33 Induces Protective Effects in Adipose Tissue Inflammation During Obesity in Mice
Open accessAbstract
Rationale: Chronic low-grade inflammation involving adipose tissue likely contributes to the metabolic consequences of obesity. The cytokine interleukin (IL)-33 and its receptor ST2 are expressed in adipose tissue, but their role in adipose tissue inflammation during obesity is unclear. Objective: To examine the functional role of IL-33 in adipose tissues and investigate the effects on adipose tissue inflammation and obesity in vivo. Methods and Results: We demonstrate that treatment of adipose tissue cultures in vitro with IL-33 induced production of Th2 cytokines (IL-5, IL-13, IL-10) and reduced expression of adipogenic and metabolic genes. Administration of recombinant IL-33 to genetically obese diabetic ( ob/ob ) mice led to reduced adiposity, reduced fasting glucose and improved glucose and insulin tolerance. IL-33 also induced accumulation of Th2 cells in adipose tissue and polarization of adipose tissue macrophages toward an M2 alternatively activated phenotype (CD206 + ), a lineage associated with protection against obesity-related metabolic events. Furthermore, mice lacking endogenous ST2 fed high-fat diet had increased body weight and fat mass and impaired insulin secretion and glucose regulation compared to WT controls fed high-fat diet. Conclusions: In conclusion, IL-33 may play a protective role in the development of adipose tissue inflammation during obesity.
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Cites
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Obesity induces a phenotypic switch in adipose tissue macrophage polarization
Lumeng, C. N., Bodzin, J. L., & Saltiel, A. R. (2007) · Journal of Clinical Investigation · doi:10.1172/jci29881 · Cited by 4,664
Kanda, H. (2006) · Journal of Clinical Investigation · doi:10.1172/jci26498 · Cited by 2,682
Nishimura, S., Manabe, I., Nagasaki, M., Eto, K., Yamashita, H., Ohsugi, M., Otsu, M., Hara, K., Ueki, K., Sugiura, S., et al. (2009) · Nature Medicine · doi:10.1038/nm.1964 · Cited by 2,230
Feuerer, M., Herrero, L., Cipolletta, D., Naaz, A., Wong, J., Nayer, A., Lee, J., Goldfine, A. B., Benoist, C., Shoelson, S., et al. (2009) · Nature Medicine · doi:10.1038/nm.2002 · Cited by 2,145
FGF-21 as a novel metabolic regulator
Kharitonenkov, A., Shiyanova, T. L., Koester, A., Ford, A. M., Micanovic, R., Galbreath, E. J., Sandusky, G. E., Hammond, L. J., Moyers, J. S., Owens, R. A., et al. (2005) · Journal of Clinical Investigation · doi:10.1172/jci23606 · Cited by 2,125
Interleukin-1-receptor antagonist in type 2 diabetes mellitus
Larsen, C. M., Faulenbach, M., Vaag, A., Vølund, A., Ehses, J. A., Seifert, B., Mandrup-Poulsen, T., & Donath, M. Y. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa065213 · Cited by 1,798
Normalization of obesity-associated insulin resistance through immunotherapy
Winer, S., Chan, Y., Paltser, G., Truong, D., Tsui, H., Bahrami, J., Dorfman, R., Wang, Y., Zielenski, J., Mastronardi, F., et al. (2009) · Nature Medicine · doi:10.1038/nm.2001 · Cited by 1,370
Interleukin-6-deficient mice develop mature-onset obesity
Wallenius, V., Wallenius, K., Ahrén, B., Rudling, M., Carlsten, H., Dickson, S. L., Ohlsson, C., & Jansson, J.-O. (2002) · Nature Medicine · doi:10.1038/nm0102-75 · Cited by 1,213
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Macrophage phenotypes in atherosclerosis
Colin, S., Chinetti‐Gbaguidi, G., & Staels, B. (2014) · Immunological Reviews · doi:10.1111/imr.12218 · Cited by 657
Interleukin-33 in tissue homeostasis, injury, and inflammation
Molofsky, A. B., Savage, A. K., & Locksley, R. M. (2015) · Immunity · doi:10.1016/j.immuni.2015.06.006 · Cited by 638
The macrophage switch in obesity development
Castoldi, A., Naffah de Souza, C., Câmara, N. O. S., & Moraes-Vieira, P. M. (2016) · Frontiers in Immunology · doi:10.3389/fimmu.2015.00637 · Cited by 575
Panduro, M., Benoist, C., & Mathis, D. (2016) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-095948 · Cited by 536
Role of IL-33 in inflammation and disease
Miller, A. M. (2011) · Journal of Inflammation · doi:10.1186/1476-9255-8-22 · Cited by 481
Self-citationHMGB1, IL-1α, IL-33 and S100 proteins: dual-function alarmins
Bertheloot, D., & Latz, E. (2017) · Cellular & Molecular Immunology · doi:10.1038/cmi.2016.34 · Cited by 455
Kolodin, D., van Panhuys, N., Li, C., Magnuson, A. M., Cipolletta, D., Miller, C. M., Wagers, A., Germain, R. N., Benoist, C., & Mathis, D. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.03.005 · Cited by 365
The “Big Bang” in obese fat: events initiating obesity-induced adipose tissue inflammation
Wensveen, F. M., Valentić, S., Šestan, M., Turk Wensveen, T., & Polić, B. (2015) · European Journal of Immunology · doi:10.1002/eji.201545502 · Cited by 348
Macrophage polarization in metabolic disorders: functions and regulation
Chinetti-Gbaguidi, G., & Staels, B. (2011) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e32834a77b4 · Cited by 175
IL-33 treatment attenuated diet-induced hepatic steatosis but aggravated hepatic fibrosis
Gao, Y., Liu, Y., Yang, M., Guo, X., Zhang, M., Li, H., Li, J., & Zhao, J. (2016) · Oncotarget · doi:10.18632/oncotarget.9259 · Cited by 79
Metadata
- Authors
- Miller, A. M., Asquith, D. L., Hueber, A. J., Anderson, L. A., Holmes, W. M., McKenzie, A. N., Xu, D., Sattar, N., McInnes, I. B., & Liew, F. Y.
- Venue
- Circulation Research
- Published
- 2010-09-03
- Volume
- 107
- Issue
- 5
- Pages
- 650-658
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2163863824
- Cited by
- 324
- References
- 16
- FWCI
- 10.06
- Type
- journal article
- Language
- en
- Open access
- bronze
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