4.7 Article

A γ-Secretase Inhibitor Decreases Amyloid-β Production in the Central Nervous System

Journal

ANNALS OF NEUROLOGY
Volume 66, Issue 1, Pages 48-54

Publisher

WILEY
DOI: 10.1002/ana.21623

Keywords

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Funding

  1. NCATS NIH HHS [UL1 TR000448] Funding Source: Medline
  2. NCRR NIH HHS [5P41 RR000954-32, 1UL1 RR024992, P41 RR000954, UL1 RR024992] Funding Source: Medline
  3. NIA NIH HHS [K23 AG030946-02, K23 AG030946] Funding Source: Medline
  4. NIDDK NIH HHS [SP30 DK056341-08, P30 DK056341-09, 2P60 DK020579-31, P30 DK056341, P30 DK056341-08, P30 DK020579, P60 DK020579] Funding Source: Medline

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Objective: Accumulation of amyloid-beta (A beta) by overproduction or underclearance in the central nervous system (CNS) is hypothesized to be a necessary event in the pathogenesis of Alzheimer's disease. However, previously, there has not been a method to determine drug effects on A beta production or clearance in the human CNS. The objective of this study was to determine the effects of a gamma-secretase inhibitor on the production of A beta in the human CNS. Methods: We utilized a recently developed method of stable-isotope labeling combined with cerebrospinal fluid sampling to directly measure A beta production during treatment of a gamma-secretase inhibitor, LY450139. We assessed whether this drug could decrease CNS A beta production in healthy men (age range, 21-50 years) at single oral doses of 100, 140, or 280mg (n = 5 per group). Results: LY450139 significantly decreased the production of CNS A beta in a dose-dependent fashion, with inhibition of A beta generation of 47, 52, and 84% over a 12-hour period with doses of 100, 140, and 280mg, respectively. There was no difference in A beta clearance. Interpretation: Stable isotope labeling of CNS proteins can be utilized to assess the effects of drugs on the production and clearance rates of proteins targeted as potential disease-modifying treatments for Alzheimer's disease and other CNS disorders. Results from this approach can assist in making decisions about drug dosing and frequency in the design of larger and longer clinical trials for diseases such as Alzheimer's disease, and may accelerate effective drug validation.

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