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Advances in gamma-secretase modulation.

Authors: Dmitri, Pissarnitski;

Advances in gamma-secretase modulation.

Abstract

Inhibition of the production of insoluble amyloid-Beta (ABeta) is a widely pursued strategy for the treatment of Alzheimer's disease (AD). The final step in the generation of ABeta from the amyloid precursor protein (APP) involves cleavage by gamma-secretase, and gamma-secretase inhibitors (GSIs) have been shown to reduce the amyloid burden in animal models of AD. Unfortunately, GSIs also cause inhibition of the cleavage of other gamma-secretase substrates, including Notch, while the co-inhibition of Notch processing by GSIs in animal studies was observed to result in a gamut of side effects. A new class of compounds, known as gamma-secretase modulators (GSMs), inhibit the amyloidogenic function of gamma-secretase without interfering in the processing of Notch and other substrates. While the exact reason for the selectivity of these agents remains unclear, they are thought to intervene at an allosteric site on gamma-secretase and cause a shift of the preferred APP cleavage site so that shorter, more soluble peptides (eg, ABeta(38)) are produced instead of the highly insoluble ABeta(42). This review describes the history of the discovery of GSMs and the current medicinal chemistry efforts aimed at providing clinically useful GSM compounds.

Keywords

Adenosine Triphosphate, Alzheimer Disease, Chemistry, Pharmaceutical, Anti-Inflammatory Agents, Non-Steroidal, Animals, Humans, Amyloid Precursor Protein Secretases, Enzyme Inhibitors, Protein Binding

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Powered by OpenAIRE graph
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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!
32
Average
Top 10%
Top 10%
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