The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Insulin-Like Growth Factor-1 and Neuroinflammation
Open accessAbstract
Insulin-like growth factor-1 (IGF-1) effects on aging and neurodegeneration is still controversial. However, it is widely admitted that IGF-1 is involved in the neuroinflammatory response. In peripheral tissues, several studies showed that IGF-1 inhibited the expression of inflammatory markers, although other studies concluded that IGF-1 has proinflammatory functions. Furthermore, proinflammatory cytokines such as TNF-α impaired IGF-1 signaling. In the brain, there are controversial results on effects of IGF-1 in neuroinflammation. In addition to direct protective effects on neurons, several studies revealed anti-inflammatory effects of IGF-1 acting on astrocytes and microglia, and that IGF-1 may also inhibit blood brain barrier permeability. Altogether suggests that the aging-related decrease in IGF-1 levels may contribute to the aging-related pro-inflammatory state. IGF-1 inhibits the astrocytic response to inflammatory stimuli, and modulates microglial phenotype (IGF-1 promotes the microglial M2 and inhibits of M1 phenotype). Furthermore, IGF-1 is mitogenic for microglia. IGF-1 and estrogen interact to modulate the neuroinflammatory response and microglial and astrocytic phenotypes. Brain renin-angiotensin and IGF-1 systems also interact to modulate neuroinflammation. Induction of microglial IGF-1 by angiotensin, and possibly by other pro-inflammatory inducers, plays a major role in the repression of the M1 microglial neurotoxic phenotype and the enhancement of the transition to an M2 microglial repair/regenerative phenotype. This mechanism is impaired in aged brains. Aging-related decrease in IGF-1 may contribute to the loss of capacity of microglia to undergo M2 activation. Fine tuning of IGF-1 levels may be critical for regulating the neuroinflammatory response, and IGF-1 may be involved in inflammation in a context-dependent mode.
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Kettenmann, H., Hanisch, U.-K., Noda, M., & Verkhratsky, A. (2011) · Physiological Reviews · doi:10.1152/physrev.00011.2010 · Cited by 3,547
Microglial M1/M2 polarization and metabolic states
Orihuela, R., McPherson, C. A., & Harry, G. J. (2016) · British Journal of Pharmacology · doi:10.1111/bph.13139 · Cited by 2,070
Microglia and brain macrophages in the molecular age: from origin to neuropsychiatric disease
Prinz, M., & Priller, J. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3722 · Cited by 1,329
The many faces of insulin-like peptide signalling in the brain
Fernandez, A. M., & Torres-Alemán, I. (2012) · Nature reviews. Neuroscience · doi:10.1038/nrn3209 · Cited by 872
Layer V cortical neurons require microglial support for survival during postnatal development
Ueno, M., Fujita, Y., Tanaka, T., Nakamura, Y., Kikuta, J., Ishii, M., & Yamashita, T. (2013) · Nature Neuroscience · doi:10.1038/nn.3358 · Cited by 781
Functionally significant insulin-like growth factor I receptor mutations in centenarians
Suh, Y., Atzmon, G., Cho, M.-O., Hwang, D., Liu, B., Leahy, D. J., Barzilai, N., & Cohen, P. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705467105 · Cited by 703
Suh, H.-S., Zhao, M.-L., Derico, L., Choi, N., & Lee, S. C. (2013) · Journal of Neuroinflammation · doi:10.1186/1742-2094-10-37 · Cited by 226
Morale, M. C., Serra, P. A., L’Episcopo, F., Tirolo, C., Caniglia, S., Testa, N., Gennuso, F., Giaquinta, G., Rocchitta, G., Desole, M. S., et al. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2005.07.060 · Cited by 207
Insulin‐like growth factor‐1 regulates the SIRT 1‐p53 pathway in cellular senescence
Tran, D., Bergholz, J., Zhang, H., He, H., Wang, Y., Zhang, Y., Li, Q., Kirkland, J. L., & Xiao, Z. (2014) · Aging Cell · doi:10.1111/acel.12219 · Cited by 161 · cited 2×
“However, effects on mitochondrial function (Puche et al., 2008), inhibition of OS, Sirtuin-1 activation (Vinciguerra et al., 2009; Tran et al., 2014) and other possible mechanisms have been suggested (Fernandez and TorresAlemán, 2012; Torres Aleman, 2012; Werner and Leroith, 2014).”
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Cited by
Microglia polarization from M1 to M2 in neurodegenerative diseases
Guo, S., Wang, H., & Yin, Y. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.815347 · Cited by 920
Begenisic, T., Pavese, C., Aiachini, B., Nardone, A., & Rossi, D. (2021) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-211169 · Cited by 7
Metadata
- Authors
- Labandeira-Garcia, J. L., Costa-Besada, M. A., Labandeira, C. M., Villar-Cheda, B., & Rodríguez-Perez, A. I.
- Venue
- Frontiers in Aging Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2017-11-03
- Volume
- 9
- Pages
- 365-365
- ISSN
- 1663-4365 (ISSN-L)
- OpenAlex
- W2767078245
- Cited by
- 222
- References
- 9
- FWCI
- 6.15
- Type
- journal article
- Language
- en
- Open access
- gold
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