Evidence map›Paper›PMID 40771303›Full record

ArticleJournal of the mechanics and physics of solids2024

Hyperelasticity of blood clots: Bridging the gap between microscopic and continuum scales.

Nicholas Filla, Beikang Gu, Jixin Hou, Kenan Song, He Li, Ning Liu, Xianqiao Wang

Abstract read
In one paragraph

Article in Journal of the mechanics and physics of solids, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Molecular Creep Induced Fatigue Rupture of Fibrin Clots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  2. Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks.Neural networks : the official journal of the International Neural Network Society · 2024
    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

7 authors.

Nicholas FillaSchool of Environmental, Civil, Agricultural and Mechanical Engineering, College of Engineering, University of Georgia, Athens, GA, 30602, USA.
Beikang GuSchool of Environmental, Civil, Agricultural and Mechanical Engineering, College of Engineering, University of Georgia, Athens, GA, 30602, USA.
Jixin HouSchool of Environmental, Civil, Agricultural and Mechanical Engineering, College of Engineering, University of Georgia, Athens, GA, 30602, USA.
Kenan SongSchool of Environmental, Civil, Agricultural and Mechanical Engineering, College of Engineering, University of Georgia, Athens, GA, 30602, USA.
He LiSchool of Chemical, Materials and Biomedical Engineering, College of Engineering, University of Georgia, Athens, GA, 30602, USA.
Ning LiuSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, PR China.
Xianqiao WangSchool of Environmental, Civil, Agricultural and Mechanical Engineering, College of Engineering, University of Georgia, Athens, GA, 30602, USA.

Funding

A deep learning-enhanced multiphysics and multiscale framework for predictive modeling of inflammation-induced thrombosisR21HL168507 · NHLBI · UNIVERSITY OF GEORGIA · PI FRYDMAN, GALIT H., LI, HE · 2024 to 2025
$393k
NHLBI NIH HHS R21 HL168507
6 · The paper itself

Abstract

The biomechanical properties of blood clots, which are dictated by their compositions and microstructures, play a critical role in determining their fates, i.e., occlusion, persistency, or embolization in the human circulatory system. While numerous constitutive models have emerged to describe the biomechanics of blood clots, most of these models have primarily focused on the macroscopic deformation of the clots and the resultant strain-stress correlations without depicting the microscopic contributions from their structural components, such as fibrin fibers, fibrin network and red blood cells. This work addresses the gap in current scientific understanding by quantifying how changes in the microstructure of blood clots affect its mechanical responses under different external stresses. We leverage our previous published work to develop a hyperelastic potential model for blood clots, which incorporates six distinct strain-energy components to describe the alignment of fibers, the entropic and enthalpic stretching of fibrin fibers, the buckling of these fibers, clot densification, and clot jamming. These strain-energy components are represented by a combination of simple harmonic oscillators, one-sided harmonic potentials, and a Gaussian potential. The proposed model, which is

Indexed as

Blood clotCoarse-grained molecular dynamicsConstitutive modelFibrin fiberHyperelasticity

Identifiers

PMID40771303
PMCPMC12327506

What OpenQuestion holds

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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.