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000821057 1001_ $$0P:(DE-Juel1)162487$$aZiehm, Tamar$$b0$$ufzj
000821057 245__ $$aIncrease of Positive Net Charge and Conformational Rigidity Enhances the Efficacy of d -Enantiomeric Peptides Designed to Eliminate Cytotoxic Aβ Species
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000821057 520__ $$aAlzheimer’s disease (AD) is a neurodegenerative disorder and the most common type of dementia. Until now, there is no curative therapy available. Previously, we selected the amyloid-beta (Aβ) targeting peptide D3 consisting of 12 D-enantiomeric amino acid residues by mirror image phage display as a potential drug candidate for the treatment of AD. In the current approach, we investigated the optimization potential of the net charge was investigated and second, cyclization was introduced which is a well-known tool for the optimization of peptides for enhanced target affinity. Following this strategy, three D3 derivatives in addition to D3COOH were designed: C-terminally amidated linear D3 (D3CONH2), cyclic D3 (cD3), and cyclic D3 with an additional arginine residue (cD3r) to maintain the net charge of linear D3CONH2. These four compounds were compared to each other according to their binding affinities to Aβ(1−42), their efficacy to eliminate cytotoxic oligomers, and consequently their potency to neutralize Aβ(1−42) oligomer induced neurotoxicity. D3CONH2 and cD3r versions with equally increased net charge showed superior properties over D3COOH and cD3, respectively. The cyclic versions showed superior properties compared to their linear version with equal net charge, suggesting cD3r to be the most efficient compound among these four. Indeed, treatment of the transgenic AD mouse model Tg-SwDI with cD3r significantly enhanced spatial memory and cognition of these animals as revealed by water maze performance. Therefore, charge increase and cyclization imply suitable modification steps for an optimization approach of the Aβ targeting compound D3.
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000821057 7001_ $$0P:(DE-HGF)0$$aBrener, Oleksandr$$b1
000821057 7001_ $$0P:(DE-HGF)0$$avan Groen, Thomas$$b2
000821057 7001_ $$0P:(DE-HGF)0$$aKadish, Inga$$b3
000821057 7001_ $$0P:(DE-Juel1)145441$$aFrenzel, Daniel$$b4
000821057 7001_ $$0P:(DE-Juel1)131709$$aTusche, Markus$$b5$$ufzj
000821057 7001_ $$0P:(DE-Juel1)159137$$aKutzsche, Janine$$b6$$ufzj
000821057 7001_ $$0P:(DE-Juel1)161220$$aReiß, Kerstin$$b7
000821057 7001_ $$0P:(DE-Juel1)145165$$aGremer, Lothar$$b8$$ufzj
000821057 7001_ $$0P:(DE-Juel1)162443$$aNagel-Steger, Luitgard$$b9$$ufzj
000821057 7001_ $$0P:(DE-Juel1)132029$$aWillbold, Dieter$$b10$$eCorresponding author$$ufzj
000821057 773__ $$0PERI:(DE-600)2528493-9$$a10.1021/acschemneuro.6b00047$$gVol. 7, no. 8, p. 1088 - 1096$$n8$$p1088 - 1096$$tACS chemical neuroscience$$v7$$x1948-7193$$y2016
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