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Cited by 999

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Treatment of Ischemic Brain Damage by Perturbing NMDA Receptor- PSD-95 Protein Interactions

Aarts, Michelle, Liu, Yitao, Liu, Lidong, Besshoh, Shintaro, Arundine, Mark, Gurd, James W., Wang, Yu-Tian, Salter, Michael W., Tymianski, Michael·2002·Science

Abstract

N -methyl- d -aspartate receptors (NMDARs) mediate ischemic brain damage but also mediate essential neuronal excitation. To treat stroke without blocking NMDARs, we transduced neurons with peptides that disrupted the interaction of NMDARs with the postsynaptic density protein PSD-95. This procedure dissociated NMDARs from downstream neurotoxic signaling without blocking synaptic activity or calcium influx. The peptides, when applied either before or 1 hour after an insult, protected cultured neurons from excitotoxicity, reduced focal ischemic brain damage in rats, and improved their neurological function. This approach circumvents the negative consequences associated with blocking NMDARs and may constitute a practical stroke therapy.

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Crossref · 10.1126/science.1072873

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Metadata

Authors
Aarts, M., Liu, Y., Liu, L., Besshoh, S., Arundine, M., Gurd, J. W., Wang, Y.-T., Salter, M. W., & Tymianski, M.
Venue
Science
Published
2002-10-25
Volume
298
Issue
5594
Pages
846-850
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1967117930
Cited by
999
References
2
FWCI
12.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Treatment of Ischemic Brain Damage by Perturbing NMDA Receptor- PSD-95 Protein Interactions. https://app.cochat.ai/papers/10.1126/science.1072873
The paper
Aarts, M., Liu, Y., Liu, L., Besshoh, S., Arundine, M., Gurd, J. W., Wang, Y.-T., Salter, M. W., & Tymianski, M. (2002). Treatment of Ischemic Brain Damage by Perturbing NMDA Receptor- PSD-95 Protein Interactions. Science. https://doi.org/10.1126/science.1072873

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.