Pivotal role for neuronal Toll-like receptors in ischemic brain injury and functional deficits
Abstract
The innate immune system senses the invasion of pathogenic microorganisms and tissue injury through Toll-like receptors (TLR), a mechanism thought to be limited to immune cells. We now report that neurons express several TLRs, and that the levels of TLR2 and -4 are increased in neurons in response to IFN-γ stimulation and energy deprivation. Neurons from both TLR2 knockout and -4 mutant mice were protected against energy deprivation-induced cell death, which was associated with decreased activation of a proapoptotic signaling cascade involving jun N-terminal kinase and the transcription factor AP-1. TLR2 and -4 expression was increased in cerebral cortical neurons in response to ischemia/reperfusion injury, and the amount of brain damage and neurological deficits caused by a stroke were significantly less in mice deficient in TLR2 or -4 compared with WT control mice. Our findings establish a proapoptotic signaling pathway for TLR2 and -4 in neurons that may render them vulnerable to ischemic death.
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Pro-inflammatory stimuli such as LPS engage an innate immune response through TLR4 receptors, resulting in activation of astrocytes.
“Pro-inflammatory stimuli such as lipopolysaccharide (LPS), an endotoxin component of gram-negative bacterial cell membranes, engage an innate immune response through TLR4 receptors, resulting in activation of astrocytes (Sofroniew et al., 2009b; Tang et al., 2007; Okun et al., 2012).”
From Evidence for miR‐181 involvement in neuroinflammatory responses of astrocytes (2013) · cites this paper as Tang et al., 2007
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TLR signaling tailors innate immune responses in human microglia and astrocytes
Jack, C. S., Arbour, N., Manusow, J., Montgrain, V., Blain, M., McCrea, E., Shapiro, A., & Antel, J. P. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.175.7.4320 · Cited by 734 · see citing works
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Mattson, M. P., & Arumugam, T. V. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.011 · Cited by 1,242 · see citing works
Self-citationPromoting tissue regeneration by modulating the immune system
Julier, Z., Park, A. J., Briquez, P. S., & Martino, M. M. (2017) · Acta Biomaterialia · doi:10.1016/j.actbio.2017.01.056 · Cited by 766 · see citing works
Microglia activation triggers astrocyte-mediated modulation of excitatory neurotransmission
Pascual, O., Ben Achour, S., Rostaing, P., Triller, A., & Bessis, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1111098109 · Cited by 693 · see citing works
Pathogenesis of antiphospholipid syndrome: understanding the antibodies
Meroni, P. L., Borghi, M. O., Raschi, E., & Tedesco, F. (2011) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2011.52 · Cited by 620 · see citing works
Pivotal role of TLR4 receptors in alcohol-induced neuroinflammation and brain damage
Alfonso-Loeches, S., Pascual-Lucas, M., Blanco, A. M., Sanchez-Vera, I., & Guerri, C. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0976-10.2010 · Cited by 579 · see citing works
Linking oxidative stress to inflammation: Toll-like receptors
Gill, R., Tsung, A., & Billiar, T. (2010) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2010.01.006 · Cited by 553 · see citing works
Gut microbial products regulate murine gastrointestinal motility via Toll-like receptor 4 signaling
Anitha, M., Vijay–Kumar, M., Sitaraman, S. V., Gewirtz, A. T., & Srinivasan, S. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.06.034 · Cited by 397 · see citing works
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Gülke, E., Gelderblom, M., & Magnus, T. (2018) · Therapeutic Advances in Neurological Disorders · doi:10.1177/1756286418774254 · Cited by 321 · see citing works
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Fiebich, B. L., Batista, C. R. A., Saliba, S. W., Yousif, N. M., & de Oliveira, A. C. P. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00329 · Cited by 291 · see citing works
Extracellular mutant SOD1 induces microglial‐mediated motoneuron injury
Zhao, W., Beers, D. R., Henkel, J. S., Zhang, W., Urushitani, M., Julien, J., & Appel, S. H. (2010) · Glia · doi:10.1002/glia.20919 · Cited by 288 · see citing works
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Feldman, N., Rotter-Maskowitz, A., & Okun, E. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.01.003 · Cited by 283 · see citing works
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Hutchison, E. R., Kawamoto, E. M., Taub, D. D., Lal, A., Abdelmohsen, K., Zhang, Y., Wood, W. H., Lehrmann, E., Camandola, S., Becker, K. G., et al. (2013) · Glia · doi:10.1002/glia.22483 · Cited by 246 · see citing works
Self-citationIntermittent fasting attenuates lipopolysaccharide-induced neuroinflammation and memory impairment.
Vasconcelos, A. R., Yshii, L. M., Viel, T. A., Buck, H. S., Mattson, M. P., Scavone, C., & Kawamoto, E. M. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-85 · Cited by 210 · see citing works
Leszek, J., E. Barreto, G., G|siorowski, K., Koutsouraki, E., Ávila-Rodrigues, M., & Aliev, G. (2016) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527315666160202125914 · Cited by 206 · see citing works
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Neuroimmune signaling: a key component of alcohol abuse
Mayfield, J., Ferguson, L., & Harris, R. A. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.01.024 · Cited by 193 · see citing works
Zeng, J., Bao, T., Yang, K., Zhu, X., Wang, S., Xiang, W., Ge, A., Zeng, L., & Ge, J. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1047550 · Cited by 175 · see citing works
Fujita, K., Motoki, K., Tagawa, K., Chen, X., Hama, H., Nakajima, K., Homma, H., Tamura, T., Watanabe, H., Katsuno, M., et al. (2016) · Scientific Reports · doi:10.1038/srep31895 · Cited by 160 · see citing works
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Kouli, A., Horne, C. B., & Williams-Gray, C. H. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.06.042 · Cited by 143 · see citing works
Theberge, F. R., Li, X., Kambhampati, S., Pickens, C. L., St. Laurent, R., Bossert, J. M., Baumann, M. H., Hutchinson, M. R., Rice, K. C., Watkins, L. R., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.12.019 · Cited by 119 · see citing works
Perez, B. A., Shutterly, A., Chan, Y. K., Byrne, B. J., & Corti, M. (2020) · Brain Sciences · doi:10.3390/brainsci10020119 · Cited by 112 · see citing works
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Gorecki, A. M., Anyaegbu, C. C., & Anderton, R. S. (2021) · Translational Neurodegeneration · doi:10.1186/s40035-021-00271-0 · Cited by 103 · see citing works
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Reeves, M. B., Breidenstein, A., & Compton, T. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1114966108 · Cited by 82 · see citing works
Roberts-Wolfe, D., Sacchet, M., Hastings, E., Roth, H., & Britton, W. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00015 · Cited by 79 · see citing works
Hu, J., Luo, C. X., Chu, W. H., Shan, Y. A., Qian, Z.-M., Zhu, G., Yu, Y. B., & Feng, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050764 · Cited by 67 · see citing works
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Yang, Q.-W. (2010) · Frontiers in Bioscience · doi:10.2741/s119 · Cited by 55 · see citing works
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Greenberg, J., Reiner, K., & Meiran, N. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00618 · Cited by 33 · see citing works
Deschamps, C., Uyttersprot, F., Debris, M., Marié, C., Fouquet, G., Marcq, I., Vilpoux, C., Naassila, M., & Pierrefiche, O. (2022) · Psychopharmacology · doi:10.1007/s00213-022-06112-w · Cited by 19 · see citing works
- Authors
- Tang, S.-C., Arumugam, T. V., Xu, X., Cheng, A., Mughal, M. R., Jo, D. G., Lathia, J. D., Siler, D. A., Chigurupati, S., Ouyang, X., Magnus, T., Camandola, S., & Mattson, M. P.
- Affiliations
- *Laboratory of Neurosciences, National Institute on Aging Intramural Research Program, Baltimore, MD 21224;
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2007-08-21
- Volume
- 104
- Issue
- 34
- Pages
- 13798-13803
- ISSN
- 0027-8424
- 1091-6490
- Cited by
- 672
- References
- 1
- Language
- en
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