The synaptic vesicle protein SV2A is the binding site for the antiepileptic drug levetiracetam
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Here, we show that the synaptic vesicle protein SV2A is the brain binding site of levetiracetam (LEV), a new antiepileptic drug with a unique activity profile in animal models of seizure and epilepsy. The LEV-binding site is enriched in synaptic vesicles, and photoaffinity labeling of purified synaptic vesicles confirms that it has an apparent molecular mass of ≈90 kDa. Brain membranes and purified synaptic vesicles from mice lacking SV2A do not bind a tritiated LEV derivative, indicating that SV2A is necessary for LEV binding. LEV and related compounds bind to SV2A expressed in fibroblasts, indicating that SV2A is sufficient for LEV binding. No binding was observed to the related isoforms SV2B and SV2C. Furthermore, there is a high degree of correlation between binding affinities of a series of LEV derivatives to SV2A in fibroblasts and to the LEV-binding site in brain. Finally, there is a strong correlation between the affinity of a compound for SV2A and its ability to protect against seizures in an audiogenic mouse animal model of epilepsy. These experimental results suggest that SV2A is the binding site of LEV in the brain and that LEV acts by modulating the function of SV2A, supporting previous indications that LEV possesses a mechanism of action distinct from that of other antiepileptic drugs. Further, these results indicate that proteins involved in vesicle exocytosis, and SV2 in particular, are promising targets for the development of new CNS drug therapies.
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In 2004, Lynch et al. demonstrated that SV2A is the target of antiepileptic drug levetiracetam.
“In 2004, Lynch et al. demonstrated that SV2A is the target of antiepileptic drug levetiracetam”
From Challenges and rewards of in vivo synaptic density imaging, and its application to the study of depression (2025) · cites this paper as [106]
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- Authors
- Lynch, B. A., Lambeng, N., Nocka, K., Kensel-Hammes, P., Bajjalieh, S. M., Matagne, A., & Fuks, B.
- Affiliations
- University of Washington (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2004-06-21
- Volume
- 101
- Issue
- 26
- Pages
- 9861-9866
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC470764
- OpenAlex
- W2127801604
- Cited by
- 1,610
- References
- 30
- Citations by year
- 2026: 46 · 2025: 71 · 2024: 55 · 2023: 52 · 2022: 70 · 2021: 76 · 2020: 243 · 2019: 64 · 2018: 52 · 2017: 76 · 2016: 70 · 2015: 72 · 2014: 62 · 2013: 63 · 2012: 58
- FWCI
- 38.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (R01MH059842, R01 MH59842)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
- Keywords
- SV2A, levetiracetam, synaptic vesicles, drug binding sites, antiepileptic drugs, SV2B, SV2C, audiogenic seizures, epilepsy, photoaffinity labeling, vesicle exocytosis, drug target identification, seizure protection
- MeSH terms
- Levetiracetam, Animals, Anticonvulsants, Binding Sites, Brain, Fibroblasts, Humans, Intracellular Membranes, Membrane Glycoproteins, Molecular Weight, Nerve Tissue Proteins, Piracetam, Precipitin Tests, Protein Binding, Seizures, Synaptic Vesicles, Gene Deletion, Mice, Knockout, Photoaffinity Labels, Inhibitory Concentration 50, Mice, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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