Evidence map›Paper›PMID 32471225›Full record

ArticlePolymers2020

Multiscale Network Modeling of Fibrin Fibers and Fibrin Clots with Protofibril Binding Mechanics.

Sumith Yesudasan, Rodney D Averett

Abstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Fibrin as a Versatile Fibrous Biopolymer.Sub-cellular biochemistry · 2026
    Review
  2. Rupture mechanics of blood clot fibrin fibers: A coarse-grained model study.Journal of the mechanics and physics of solids · 2025
    Article
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  6. Review
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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

2 authors.

Sumith YesudasanDepartment of Engineering, University of Jamestown, Jamestown, ND 58402, USA.
Rodney D AverettSchool of Chemical, Materials, and Biomedical Engineering, College of Engineering, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-8634-0599

Funding

Effects of Diabetes on the Multiscale Mechanical Behavior of Clot StructuresK01HL115486 · NHLBI · UNIVERSITY OF GEORGIA · PI AVERETT, RODNEY D · 2012 to 2016
$697k
NIH HHS K01HL115486
6 · The paper itself

Abstract

The multiscale mechanical behavior of individual fibrin fibers and fibrin clots wasmodeled by coupling atomistic simulation data and microscopic experimental data. We propose anew protofibril element composed of a nonlinear spring network, and constructed this based onmolecular simulations and atomic force microscopy results to simulate the force extension behaviorof fibrin fibers. This new network model also accounts for the complex interaction of protofibrilswith one another, the effects of the presence of a solvent, Coulombic attraction, and other bindingforces. The network model was formulated to simulate the force-extension mechanical behavior ofsingle fibrin fibers from atomic force microscopy experiments, and shows good agreement. Thevalidated fibrin fiber network model was then combined with a modified version of the Arruda-Boyce eight-chain model to estimate the force extension behavior of the fibrin clot at the continuumlevel, which shows very good correlation. The results show that our network model is able to predictthe behavior of fibrin fibers as well as fibrin clots at small strains, large strains, and close to the breakstrain. We used the network model to explain why the mechanical response of fibrin clots and fibrinfibers deviates from worm-like chain behavior, and instead behaves like a nonlinear spring.

Indexed as

blood clotextracellular matrixfibrinfibrinogenmechanicsmultiscale modeling

Identifiers

PMID32471225
PMCPMC7362082

What OpenQuestion holds

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Registered trials

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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.