Evidence map›Paper›PMID 35221375›Full record

ArticleStudies in applied mathematics (Cambridge, Mass.)2021

Molecular Dynamics Simulations to Explore the Structure and Rheological Properties of Normal and Hyperconcentrated Airway Mucus.

Andrew G Ford, Xue-Zheng Cao, Micah J Papanikolas, Takafumi Kato, Richard C Boucher, Matthew R Markovetz, David B Hill, Ronit Freeman, M Gregory Forest

Abstract read
In one paragraph

Article in Studies in applied mathematics (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Mucin stimulates the growth ofMicrobiology (Reading, England) · 2026
    Article
  2. A Coarse-Grained MARTINI Model for Mucins.Journal of chemical theory and computation · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Andrew G FordDept. of Mathematics, University of North Carolina at Chapel Hill.
Xue-Zheng CaoDept. of Physics, Xiamen University.
Micah J PapanikolasDept. of Applied Physical Sciences, University of North Carolina at Chapel Hill.
Takafumi KatoMarsico Lung Institute, University of North Carolina at Chapel Hill.
Richard C BoucherMarsico Lung Institute, University of North Carolina at Chapel Hill.
Matthew R MarkovetzMarsico Lung Institute, University of North Carolina at Chapel Hill.
David B HillMarsico Lung Institute, University of North Carolina at Chapel Hill.
Ronit FreemanDept. of Applied Physical Sciences, University of North Carolina at Chapel Hill.
M Gregory ForestDept. of Mathematics, University of North Carolina at Chapel Hill.

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
Vector CoreP30DK065988 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Martina Gentzsch · 2004 to 2026
$26.5M
The Biophysics of Mucus Hydration and Adhesion/CohesionP01HL108808 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUBINSTEIN, MICHAEL · 2012 to 2021
$23.9M
Synthesis of Effective and Safe Mucolytics for Pulmonary DiseaseUH3HL123645 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOUCHER, RICHARD CHARLES · 2016 to 2018
$4.6M
Multiscale Biochemical/Biophysical Integration of Pulmonary Mucus TransportR01HL136961 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOUCHER, RICHARD CHARLES · 2017 to 2020
$3.2M
NCATS NIH HHS UL1 TR002489NHLBI NIH HHS P01 HL108808NHLBI NIH HHS R01 HL136961NHLBI NIH HHS UH3 HL123645NIDDK NIH HHS P30 DK065988
6 · The paper itself

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.

Identifiers

PMID35221375
PMCPMC8871504

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.