Literature DB >> 19533727

Primary steps of pH-dependent insulin aggregation kinetics are governed by conformational flexibility.

Jürgen Haas1, Esteban Vöhringer-Martinez, Andreas Bögehold, Dirk Matthes, Ulf Hensen, Avishay Pelah, Bernd Abel, Helmut Grubmüller.   

Abstract

Insulin aggregation critically depends on pH. The underlying energetic and structural determinants are, however, unknown. Here, we measure the kinetics of the primary aggregation steps of the insulin monomer in vitro and relate it to its conformational flexibility. To assess these primary steps the monomer concentration was monitored by mass spectrometry at various pH values and aggregation products were imaged by atomic force microscopy. Lowering the pH from 3 to 1.6 markedly accelerated the observed aggregation kinetics. The influence of pH on the monomer structure and dynamics in solution was studied by molecular dynamics simulations, with the protonation states of the titrable groups obtained from electrostatic calculations. Reduced flexibility was observed for low pH values, mainly in the C terminus and in the helix of the B chain; these corresponded to an estimated entropy loss of 150 J mol(-1) K(-1). The striking correlation between entropy loss and pH value is consistent with the observed kinetic traces. In analogy to the well-known Phi value analysis, this result allows the extraction of structural information about the rate determining transition state of the primary aggregation steps. In particular, we suggest that the residues in the helix of the B chain are involved in this transition state.

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Year:  2009        PMID: 19533727     DOI: 10.1002/cbic.200900266

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  9 in total

1.  Isolating toxic insulin amyloid reactive species that lack β-sheets and have wide pH stability.

Authors:  Caryn L Heldt; Dmitry Kurouski; Mirco Sorci; Elizabeth Grafeld; Igor K Lednev; Georges Belfort
Journal:  Biophys J       Date:  2011-06-08       Impact factor: 4.033

2.  Equilibrium Ensembles for Insulin Folding from Bias-Exchange Metadynamics.

Authors:  Richa Singh; Rohit Bansal; Anurag Singh Rathore; Gaurav Goel
Journal:  Biophys J       Date:  2017-04-25       Impact factor: 4.033

3.  Adsorption free energy predicts amyloid protein nucleation rates.

Authors:  Zenon Toprakcioglu; Ayaka Kamada; Thomas C T Michaels; Mengqi Xie; Johannes Krausser; Jiapeng Wei; Andela Saric; Michele Vendruscolo; Tuomas P J Knowles
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-28       Impact factor: 12.779

4.  Mapping the conformational dynamics and pathways of spontaneous steric zipper Peptide oligomerization.

Authors:  Dirk Matthes; Vytautas Gapsys; Venita Daebel; Bert L de Groot
Journal:  PLoS One       Date:  2011-05-03       Impact factor: 3.240

5.  Ways and means of coping with uncertainties of the relationship of the genetic blue print to protein structure and function in the cell.

Authors:  Ernst Jm Helmreich
Journal:  Cell Commun Signal       Date:  2010-09-17       Impact factor: 5.712

6.  Constant pH Molecular Dynamics in Explicit Solvent with λ-Dynamics.

Authors:  Serena Donnini; Florian Tegeler; Gerrit Groenhof; Helmut Grubmüller
Journal:  J Chem Theory Comput       Date:  2011-04-25       Impact factor: 6.006

7.  Impact of porous nanomaterials on inhibiting protein aggregation behaviour.

Authors:  Munmun Bardhan; Sandip Dolui; Siddhi Chaudhuri; Uttam Paul; Gaurav Bhattacharjee; Manorama Ghosal; Nakul C Maiti; Debashis Mukhopadhyay; Dulal Senapati
Journal:  RSC Adv       Date:  2021-01-15       Impact factor: 3.361

Review 8.  Progress in Simulation Studies of Insulin Structure and Function.

Authors:  Biswajit Gorai; Harish Vashisth
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-20       Impact factor: 6.055

9.  The Environment Is a Key Factor in Determining the Anti-Amyloid Efficacy of EGCG.

Authors:  Tomas Sneideris; Andrius Sakalauskas; Rebecca Sternke-Hoffmann; Alessia Peduzzo; Mantas Ziaunys; Alexander K Buell; Vytautas Smirnovas
Journal:  Biomolecules       Date:  2019-12-11
  9 in total

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