Literature DB >> 17099072

The novel gamma secretase inhibitor N-[cis-4-[(4-chlorophenyl)sulfonyl]-4-(2,5-difluorophenyl)cyclohexyl]-1,1,1-trifluoromethanesulfonamide (MRK-560) reduces amyloid plaque deposition without evidence of notch-related pathology in the Tg2576 mouse.

Jonathan D Best1, David W Smith, Michael A Reilly, Ruth O'Donnell, Huw D Lewis, Semantha Ellis, Neil Wilkie, Thomas W Rosahl, Philippe A Laroque, Christine Boussiquet-Leroux, Ian Churcher, John R Atack, Timothy Harrison, Mark S Shearman.   

Abstract

There is a substantial body of evidence indicating that beta-amyloid peptides (Abeta) are critical factors in the onset and development of Alzheimer's disease (AD). One strategy for combating AD is to reduce or eliminate the production of Abeta through inhibition of the gamma-secretase enzyme, which cleaves Abeta from the amyloid precursor protein (APP). We demonstrate here that chronic treatment for 3 months with 3 mg/kg of the potent, orally bioavailable and brain-penetrant gamma-secretase inhibitor N-[cis-4-[(4-chlorophenyl)-sulfonyl]-4-(2,5-difluorophenyl)cyclohexyl]-1,1,1-trifluoromethanesulfonamide (MRK-560) attenuates the appearance of amyloid plaques in the Tg2576 mouse. These reductions in plaques were also accompanied by a decrease in the level of reactive gliosis. The morphometric and histological measures agreed with biochemical analysis of Abeta(40) and Abeta(42) in the cortex. Interestingly, the volume of the plaques across treatment groups did not change, indicating that reducing Abeta levels does not significantly alter deposit growth once initiated. Furthermore, we demonstrate that these beneficial effects can be achieved without causing histopathological changes in the ileum, spleen, or thymus as a consequence of blockade of the processing of alternative substrates, such as the Notch family of receptors. This indicates that in vivo a therapeutic window between these substrates seems possible--a key concern in the development of this approach to AD. An understanding of the mechanisms whereby MRK-560 shows differentiation between the APP and Notch proteolytic pathway of gamma-secretase should provide the basis for the next generation of gamma-secretase inhibitors.

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Year:  2006        PMID: 17099072     DOI: 10.1124/jpet.106.114330

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  28 in total

1.  The dynamics of Aβ distribution after γ-secretase inhibitor treatment, as determined by experimental and modelling approaches in a wild type rat.

Authors:  Leon M Tai; Helmut Jacobsen; Laurence Ozmen; Alexander Flohr; Roland Jakob-Roetne; Antonello Caruso; Hans-Peter Grimm
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-04-06       Impact factor: 2.745

2.  The acyl-coenzyme A: cholesterol acyltransferase inhibitor CI-1011 reverses diffuse brain amyloid pathology in aged amyloid precursor protein transgenic mice.

Authors:  Henri J Huttunen; Daniel Havas; Camilla Peach; Cory Barren; Stephan Duller; Weiming Xia; Matthew P Frosch; Birgit Hutter-Paier; Manfred Windisch; Dora M Kovacs
Journal:  J Neuropathol Exp Neurol       Date:  2010-08       Impact factor: 3.685

3.  Amyloid-β(1-15/16) as a marker for γ-secretase inhibition in Alzheimer's disease.

Authors:  Erik Portelius; Henrik Zetterberg; Robert A Dean; Alexandre Marcil; Philippe Bourgeois; Magdalena Nutu; Ulf Andreasson; Eric Siemers; Kwasi G Mawuenyega; Wendy C Sigurdson; Patrick C May; Steven M Paul; David M Holtzman; Kaj Blennow; Randall J Bateman
Journal:  J Alzheimers Dis       Date:  2012       Impact factor: 4.472

4.  γ-Secretase processing and effects of γ-secretase inhibitors and modulators on long Aβ peptides in cells.

Authors:  Yong Ran; Pedro E Cruz; Thomas B Ladd; Abdul H Fauq; Joo In Jung; Julian Matthews; Kevin M Felsenstein; Todd E Golde
Journal:  J Biol Chem       Date:  2013-12-18       Impact factor: 5.157

5.  Pharmacological analysis of Drosophila melanogaster gamma-secretase with respect to differential proteolysis of Notch and APP.

Authors:  Casper Groth; W Gregory Alvord; Octavio A Quiñones; Mark E Fortini
Journal:  Mol Pharmacol       Date:  2010-01-11       Impact factor: 4.436

6.  Toward a general predictive QSAR model for gamma-secretase inhibitors.

Authors:  Subhash Ajmani; Sridhara Janardhan; Vellarkad N Viswanadhan
Journal:  Mol Divers       Date:  2013-04-24       Impact factor: 2.943

7.  A novel Abeta isoform pattern in CSF reflects gamma-secretase inhibition in Alzheimer disease.

Authors:  Erik Portelius; Robert A Dean; Mikael K Gustavsson; Ulf Andreasson; Henrik Zetterberg; Eric Siemers; Kaj Blennow
Journal:  Alzheimers Res Ther       Date:  2010-03-29       Impact factor: 6.982

8.  Targeting Notch signaling in autoimmune and lymphoproliferative disease.

Authors:  David T Teachey; Alix E Seif; Valerie I Brown; Marlo Bruno; Ralph M Bunte; Yueh J Chang; John K Choi; Jonathan D Fish; Junior Hall; Gregor S Reid; Theresa Ryan; Cecilia Sheen; Patrick Zweidler-McKay; Stephan A Grupp
Journal:  Blood       Date:  2007-10-09       Impact factor: 22.113

9.  Quantification of gamma-secretase modulation differentiates inhibitor compound selectivity between two substrates Notch and amyloid precursor protein.

Authors:  Ting Yang; Dilyara Arslanova; Yongli Gu; Corinne Augelli-Szafran; Weiming Xia
Journal:  Mol Brain       Date:  2008-11-04       Impact factor: 4.041

10.  Existing plaques and neuritic abnormalities in APP:PS1 mice are not affected by administration of the gamma-secretase inhibitor LY-411575.

Authors:  Monica Garcia-Alloza; Meenakshi Subramanian; Diana Thyssen; Laura A Borrelli; Abdul Fauq; Pritam Das; Todd E Golde; Bradley T Hyman; Brian J Bacskai
Journal:  Mol Neurodegener       Date:  2009-05-06       Impact factor: 14.195

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