Literature DB >> 23421682

The structures of the E22Δ mutant-type amyloid-β alloforms and the impact of E22Δ mutation on the structures of the wild-type amyloid-β alloforms.

Orkid Coskuner1, Olivia Wise-Scira, George Perry, Taizo Kitahara.   

Abstract

Structural differences between the intrinsically disordered fibrillogenic wild-type Aβ40 and Aβ42 peptides are linked to Alzheimer's disease. Recently, the E22Δ genetic missense mutation was detected in patients exhibiting Alzheimer's-disease type dementia. However, detailed knowledge about the E22Δ mutant-type Aβ40 and Aβ42 alloform structures as well as the differences from the wild-type Aβ40 and Aβ42 alloform structures is currently lacking. In this study, we present the structures of the E22Δ mutant-type Aβ40 and Aβ42 alloforms as well as the impact of E22Δ mutation on the wild-type Aβ40 and Aβ42 alloform structures. For this purpose, we performed extensive microsecond-time scale parallel tempering molecular dynamics simulations coupled with thermodynamic calculations. For studying the residual secondary structure component transition stabilities, we developed and applied a new theoretical strategy in our studies. We find that the E22Δ mutant-type Aβ40 might have a higher tendency toward aggregation due to more abundant β-sheet formation in the C-terminal region in comparison to the E22Δ mutant-type Aβ42 peptide. More abundant α-helix is formed in the mid-domain regions of the E22Δ mutant-type Aβ alloforms rather than in their wild-type forms. The turn structure at Ala21-Ala30 of the wild-type Aβ, which has been linked to the aggregation process, is less abundant upon E22Δ mutation of both Aβ alloforms. Intramolecular interactions between the N-terminal and central hydrophobic core (CHC), N- and C-terminal, and CHC and C-terminal regions are less abundant or disappear in the E22Δ mutant-type Aβ alloform structures. The thermodynamic trends indicate that the wild-type Aβ42 tends to aggregate more than the wild-type Aβ40 peptide, which is in agreement with experiments. However, this trend is vice versa for the E22Δ mutant-type alloforms. The structural properties of the E22Δ mutant-type Aβ40 and Aβ42 peptides reported herein may prove useful for the development of new drugs to block the formation of toxic E22Δ mutant-type oligomers by either stabilizing helical or destabilizing β-sheet structure in the C-terminal region of these two mutant alloforms.

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Year:  2012        PMID: 23421682      PMCID: PMC3582298          DOI: 10.1021/cn300149j

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


  55 in total

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Authors:  Noel D Lazo; Marianne A Grant; Margaret C Condron; Alan C Rigby; David B Teplow
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2.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

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3.  A temperature predictor for parallel tempering simulations.

Authors:  Alexandra Patriksson; David van der Spoel
Journal:  Phys Chem Chem Phys       Date:  2008-02-25       Impact factor: 3.676

4.  Structure of the 21-30 fragment of amyloid beta-protein.

Authors:  Andrij Baumketner; Summer L Bernstein; Thomas Wyttenbach; Noel D Lazo; David B Teplow; Michael T Bowers; Joan-Emma Shea
Journal:  Protein Sci       Date:  2006-06       Impact factor: 6.725

5.  Distinct sites of intracellular production for Alzheimer's disease A beta40/42 amyloid peptides.

Authors:  T Hartmann; S C Bieger; B Brühl; P J Tienari; N Ida; D Allsop; G W Roberts; C L Masters; C G Dotti; K Unsicker; K Beyreuther
Journal:  Nat Med       Date:  1997-09       Impact factor: 53.440

6.  The Osaka FAD mutation E22Δ leads to the formation of a previously unknown type of amyloid β fibrils and modulates Aβ neurotoxicity.

Authors:  Oxana Yu Ovchinnikova; Verena H Finder; Ivana Vodopivec; Roger M Nitsch; Rudi Glockshuber
Journal:  J Mol Biol       Date:  2011-03-21       Impact factor: 5.469

7.  Amyloid beta-protein fibrillogenesis. Detection of a protofibrillar intermediate.

Authors:  D M Walsh; A Lomakin; G B Benedek; M M Condron; D B Teplow
Journal:  J Biol Chem       Date:  1997-08-29       Impact factor: 5.157

8.  Structures and free energy landscapes of aqueous zinc(II)-bound amyloid-β(1-40) and zinc(II)-bound amyloid-β(1-42) with dynamics.

Authors:  Olivia Wise-Scira; Liang Xu; George Perry; Orkid Coskuner
Journal:  J Biol Inorg Chem       Date:  2012-06-07       Impact factor: 3.358

9.  Structure of amyloid A4-(1-40)-peptide of Alzheimer's disease.

Authors:  H Sticht; P Bayer; D Willbold; S Dames; C Hilbich; K Beyreuther; R W Frank; P Rösch
Journal:  Eur J Biochem       Date:  1995-10-01

10.  Influence of preformed Asp23-Lys28 salt bridge on the conformational fluctuations of monomers and dimers of Abeta peptides with implications for rates of fibril formation.

Authors:  Govardhan Reddy; John E Straub; D Thirumalai
Journal:  J Phys Chem B       Date:  2009-01-29       Impact factor: 2.991

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  12 in total

1.  Effect of the Tottori familial disease mutation (D7N) on the monomers and dimers of Aβ40 and Aβ42.

Authors:  Man Hoang Viet; Phuong H Nguyen; Son Tung Ngo; Mai Suan Li; Philippe Derreumaux
Journal:  ACS Chem Neurosci       Date:  2013-09-16       Impact factor: 4.418

Review 2.  Amyloid β Protein and Alzheimer's Disease: When Computer Simulations Complement Experimental Studies.

Authors:  Jessica Nasica-Labouze; Phuong H Nguyen; Fabio Sterpone; Olivia Berthoumieu; Nicolae-Viorel Buchete; Sébastien Coté; Alfonso De Simone; Andrew J Doig; Peter Faller; Angel Garcia; Alessandro Laio; Mai Suan Li; Simone Melchionna; Normand Mousseau; Yuguang Mu; Anant Paravastu; Samuela Pasquali; David J Rosenman; Birgit Strodel; Bogdan Tarus; John H Viles; Tong Zhang; Chunyu Wang; Philippe Derreumaux
Journal:  Chem Rev       Date:  2015-03-19       Impact factor: 60.622

Review 3.  Insights into the Molecular Mechanisms of Alzheimer's and Parkinson's Diseases with Molecular Simulations: Understanding the Roles of Artificial and Pathological Missense Mutations in Intrinsically Disordered Proteins Related to Pathology.

Authors:  Orkid Coskuner-Weber; Vladimir N Uversky
Journal:  Int J Mol Sci       Date:  2018-01-24       Impact factor: 5.923

4.  Arginine and disordered amyloid-β peptide structures: molecular level insights into the toxicity in Alzheimer's disease.

Authors:  Orkid Coskuner; Olivia Wise-Scira
Journal:  ACS Chem Neurosci       Date:  2013-10-08       Impact factor: 4.418

5.  Structures of the E46K mutant-type α-synuclein protein and impact of E46K mutation on the structures of the wild-type α-synuclein protein.

Authors:  Olivia Wise-Scira; Aquila Dunn; Ahmet K Aloglu; Isin T Sakallioglu; Orkid Coskuner
Journal:  ACS Chem Neurosci       Date:  2013-01-30       Impact factor: 4.418

6.  Structures and free energy landscapes of the wild-type and A30P mutant-type α-synuclein proteins with dynamics.

Authors:  Olivia Wise-Scira; Ahmet Kemal Aloglu; Aquila Dunn; Isin Tuna Sakallioglu; Orkid Coskuner
Journal:  ACS Chem Neurosci       Date:  2013-01-30       Impact factor: 4.418

7.  Divalent copper ion bound amyloid-β(40) and amyloid-β(42) alloforms are less preferred than divalent zinc ion bound amyloid-β(40) and amyloid-β(42) alloforms.

Authors:  Orkid Coskuner
Journal:  J Biol Inorg Chem       Date:  2016-09-22       Impact factor: 3.358

8.  Structures and free energy landscapes of the A53T mutant-type α-synuclein protein and impact of A53T mutation on the structures of the wild-type α-synuclein protein with dynamics.

Authors:  Orkid Coskuner; Olivia Wise-Scira
Journal:  ACS Chem Neurosci       Date:  2013-05-17       Impact factor: 4.418

9.  Effect of the English familial disease mutation (H6R) on the monomers and dimers of Aβ40 and Aβ42.

Authors:  Man Hoang Viet; Phuong H Nguyen; Philippe Derreumaux; Mai Suan Li
Journal:  ACS Chem Neurosci       Date:  2014-06-30       Impact factor: 4.418

10.  Effects of Zn2+ binding on the structural and dynamic properties of amyloid β peptide associated with Alzheimer's disease: Asp1 or Glu11?

Authors:  Liang Xu; Xiaojuan Wang; Xicheng Wang
Journal:  ACS Chem Neurosci       Date:  2013-09-13       Impact factor: 4.418

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