The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Inflammation and endoplasmic reticulum stress in obesity and diabetes
Open accessAbstract
Obesity is associated with chronic low-grade inflammation. Inflammatory signals interfere with insulin action and disrupt metabolic homeostasis. The c-Jun N-terminal kinase (JNK) has been identified as a central mediator of insulin resistance. Recent studies showed that in obesity compromising endoplasmic reticulum (ER) function results in insulin resistance and type 2 diabetes that are dependent on JNK activation. In contrast, enhancing ER function in transgenic mice or by the use of chemical chaperones protects against diet-induced insulin resistance. Hence, ER stress and the related signaling networks present a critical mechanism underlying obesity-induced JNK activity, inflammatory response and insulin resistance.
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Citations
Cites
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Inflammation, stress, and diabetes
Wellen, K. E., & Hotamisligil, G. S. (2005) · Journal of Clinical Investigation · doi:10.1172/jci25102 · Cited by 4,143
A central role for JNK in obesity and insulin resistance
Hirosumi, J., Tuncman, G., Chang, L., Görgün, C. Z., Uysal, K. T., Maeda, K., Karin, M., & Hotamisligil, G. S. (2002) · Nature · doi:10.1038/nature01137 · Cited by 3,359
Furuhashi, M., Fucho, R., Görgün, C. Z., Tuncman, G., Cao, H., & Hotamisligil, G. S. (2008) · Journal of Clinical Investigation · doi:10.1172/jci34750 · Cited by 332
Wellen, K. E., Fucho, R., Gregor, M. F., Furuhashi, M., Morgan, C., Lindstad, T., Vaillancourt, E., Gorgun, C. Z., Saatcioglu, F., & Hotamisligil, G. S. (2007) · Cell · doi:10.1016/j.cell.2007.02.049 · Cited by 222
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Anti-inflammatory effects of exercise: role in diabetes and cardiovascular disease
Pedersen, B. K. (2017) · European Journal of Clinical Investigation · doi:10.1111/eci.12781 · Cited by 617
The inflammation highway: metabolism accelerates inflammatory traffic in obesity
Johnson, A. R., Justin Milner, J., & Makowski, L. (2012) · Immunological Reviews · doi:10.1111/j.1600-065x.2012.01151.x · Cited by 603
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IL-6 Improves Energy and Glucose Homeostasis in Obesity via Enhanced Central IL-6 trans-Signaling
Timper, K., Denson, J. L., Steculorum, S. M., Heilinger, C., Engström-Ruud, L., Wunderlich, C. M., Rose-John, S., Wunderlich, F. T., & Brüning, J. C. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.03.043 · Cited by 233
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Stinkens, R., Goossens, G. H., Jocken, J. W. E., & Blaak, E. E. (2015) · Obesity Reviews · doi:10.1111/obr.12298 · Cited by 183
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Sabio, G., & Davis, R. J. (2010) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2010.04.004 · Cited by 170
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Sanders, F. W. B., Acharjee, A., Walker, C., Marney, L., Roberts, L. D., Imamura, F., Jenkins, B., Case, J., Ray, S., Virtue, S., et al. (2018) · Genome Biology · doi:10.1186/s13059-018-1439-8 · Cited by 114
Impaired estrogen receptor action in the pathogenesis of the metabolic syndrome
Hevener, A. L., Clegg, D. J., & Mauvais-Jarvis, F. (2015) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2015.05.020 · Cited by 112
The pathophysiology of defective proteostasis in the hypothalamus — from obesity to ageing
Cavadas, C., Aveleira, C. A., Souza, G. F. P., & Velloso, L. A. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.107 · Cited by 105
Guo, C., Qi, H., Yu, Y., Zhang, Q., Su, J., Yu, D., Huang, W., Chen, W.-D., & Wang, Y.-D. (2015) · Frontiers in Pharmacology · doi:10.3389/fphar.2015.00287 · Cited by 95
Hafizi Abu Bakar, M., Kian Kai, C., Wan Hassan, W. N., Sarmidi, M. R., Yaakob, H., & Zaman Huri, H. (2015) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2601 · Cited by 91
Nitrosative modifications of protein and lipid signaling molecules by reactive nitrogen species
White, P. J., Charbonneau, A., Cooney, G. J., & Marette, A. (2010) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00510.2010 · Cited by 49
Karimzadeh, L., Behrouz, V., Sohrab, G., Hedayati, M., & Emami, G. (2022) · Journal of Food Science · doi:10.1111/1750-3841.16365 · Cited by 28
RLIP76 protein knockdown attenuates obesity due to a high-fat diet
Singhal, S. S., Figarola, J., Singhal, J., Reddy, M. A., Liu, X., Berz, D., Natarajan, R., & Awasthi, S. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.480194 · Cited by 26
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Metadata
- Authors
- Hotamisligil, G. S.
- Venue
- International Journal of Obesity
- Published
- 2008-12
- Volume
- 32
- Issue
- S7
- Pages
- S52-S54
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W2029442790
- Cited by
- 285
- References
- 5
- FWCI
- 10.73
- Type
- journal article
- Language
- en
- Open access
- green
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