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Cited by 406

The DOI matches its Crossref record; 168 of the 168 references it cites were found in a registry or an index.

Molecular and cellular mechanisms of pharmacoresistance in epilepsy

Remy, Stefan, Beck, Heinz·2006·Brain

Abstract

Epilepsy is a common and devastating neurological disorder. In many patients with epilepsy, seizures are well-controlled with currently available anti-epileptic drugs (AEDs), but a substantial (∼30%) proportion of patients continue to have seizures despite carefully optimized drug treatment. Two concepts have been put forward to explain the development of pharmacoresistance. The transporter hypothesis contends that the expression or function of multidrug transporters in the brain is augmented, leading to impaired access of AEDs to CNS targets. The target hypothesis holds that epilepsy-related changes in the properties of the drug targets themselves may result in reduced drug sensitivity. Recent studies have started to dissect the molecular underpinnings of both transporter- and target-mediated mechanisms of pharmacoresistance in human and experimental epilepsy. An emerging understanding of these underlying molecular and cellular mechanisms is likely to provide important impetus for the development of new pharmacological treatment strategies.

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Metadata

Authors
Remy, S., & Beck, H.
Venue
Brain
Published
2005-11-29
Volume
129
Issue
1
Pages
18-35
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W2126829625
Cited by
406
References
168
FWCI
10.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Molecular and cellular mechanisms of pharmacoresistance in epilepsy. https://app.cochat.ai/papers/10.1093/brain/awh682
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Remy, S., & Beck, H. (2006). Molecular and cellular mechanisms of pharmacoresistance in epilepsy. Brain. https://doi.org/10.1093/brain/awh682

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.