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Molecular dynamics simulations to explore the structure and rheological properties of normal and hyperconcentrated airway mucus

Authors :
Richard C. Boucher
Micah J. Papanikolas
Mark Gregory Forest
David B. Hill
Takafumi Kato
Xue-Zheng Cao
Matthew R. Markovetz
Andrew G. Ford
Ronit Freeman
Source :
Stud Appl Math
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

We develop the first molecular dynamics model of airway mucus based on the detailed physical properties and chemical structure of the predominant gel-forming mucin MUC5B. Our airway mucus model leverages the LAMMPS open-source code [https://lammps.sandia.gov], based on the statistical physics of polymers, from single molecules to networks. On top of the LAMMPS platform, the chemical structure of MUC5B is used to superimpose proximity-based, non-covalent, transient interactions within and between the specific domains of MUC5B polymers. We explore feasible ranges of hydrophobic and electrostatic interaction strengths between MUC5B domains with 9 nanometer spatial and 1 nanosecond temporal resolution. Our goal here is to propose and test a mechanistic hypothesis for a striking clinical observation with respect to airway mucus: a 10-fold increase in non-swellable, dense structures called flakes during progression of cystic fibrosis disease. Among the myriad possible effects that might promote self-organization of MUC5B networks into flake structures, we hypothesize and confirm that the clinically confirmed increase in mucin concentration, from 1.5 to 5 mg/mL, alone is sufficient to drive the structure changes observed with scanning electron microscopy images from experimental samples. We post-process the LAMMPS simulated datasets at 1.5 and 5 mg/mL, both to image the structure transition and compare with scanning electron micrographs and to show that the 3.33-fold increase in concentration induces closer proximity of interacting electrostatic and hydrophobic domains, thereby amplifying the proximity-based strength of the interactions.

Details

ISSN :
14679590 and 00222526
Volume :
147
Database :
OpenAIRE
Journal :
Studies in Applied Mathematics
Accession number :
edsair.doi.dedup.....b4a944453bf94c0d13105991184f4bd3
Full Text :
https://doi.org/10.1111/sapm.12433