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Possible Therapeutic Applications of Antagonists of Excitatory Amino acid Neurotransmitters

Authors: B, Meldrum;

Possible Therapeutic Applications of Antagonists of Excitatory Amino acid Neurotransmitters

Abstract

The dicarboxylic amino acids, glutamate and aspartate, are excitatory neurotransmitters in many brain regions. Recent animal experiments with analogues of dicarboxylic amino acids that block their excitatory actions, suggest that such selective antagonists could have important therapeutic uses in neurology and psychiatry. The strongest evidence concerns epilepsy and disorders of the motor system. However, there are theoretical and experimental grounds for studying therapeutic applications in cerebral ischaemia and in chronic degenerative disorders. This review summarizes the experimental background, and proposes some key future studies.

Keywords

Aspartic Acid, Neurotransmitter Agents, Epilepsy, Movement Disorders, Brain, Glutamic Acid, Parkinson Disease, Brain Ischemia, Rats, Mice, Huntington Disease, Basal Ganglia Diseases, Glutamates, Alzheimer Disease, Nerve Degeneration, Animals, Humans, Excitatory Amino Acid Antagonists

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    popularity
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    Top 10%
    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
613
Top 10%
Top 0.1%
Top 0.1%
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