Evidence map›Paper›PMID 28785035›Full record

ArticleScientific reports2017

Molecular and Physical Mechanisms of Fibrinolysis and Thrombolysis from Mathematical Modeling and Experiments.

Brittany E Bannish, Irina N Chernysh, James P Keener, Aaron L Fogelson, John W Weisel

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

41 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Fibrin as a Versatile Fibrous Biopolymer.Sub-cellular biochemistry · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Protofibril packing density of individual fibers alters fibrinolysis.Research and practice in thrombosis and haemostasis · 2025
    Article
  11. Deconstructing fibrin(ogen) structure.Journal of thrombosis and haemostasis : JTH · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024
    Review
  17. Review
  18. Article
  19. Review
  20. 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

5 authors at 3 institutions in 1 country.

Brittany E BannishUniversity of Central Oklahoma, Department of Mathematics and Statistics, Edmond, OK, 73034, USA. bbannish@uco.edu.
Irina N ChernyshUniversity of Pennsylvania School of Medicine, Department of Cell and Developmental Biology, Philadelphia, PA, 19104, USA.
James P KeenerUniversity of Utah, Departments of Mathematics and Bioengineering, Salt Lake City, UT, 84112-0090, USA.
Aaron L FogelsonUniversity of Utah, Departments of Mathematics and Bioengineering, Salt Lake City, UT, 84112-0090, USA.
John W WeiselUniversity of Pennsylvania School of Medicine, Department of Cell and Developmental Biology, Philadelphia, PA, 19104, USA.
University of Pennsylvania · USUniversity of Utah · USUniversity of Central Oklahoma · US

Funding

Multiscale modeling and empirical study of a mechanism limiting blood clot growthU01HL116330 · NHLBI · UNIVERSITY OF NOTRE DAME · PI ALBER, MARK · 2014 to 2018
$3.5M
Structural origin of fibrin clot mechanical propertiesR01HL090774 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI WEISEL, JOHN W · 2009 to 2012
$1.6M
Structural origin of fibrin clot mechanical propertiesR56HL090774 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI WEISEL, JOHN W · 2014 to 2014
$408k
NHLBI NIH HHS R01 HL090774NHLBI NIH HHS R56 HL090774NHLBI NIH HHS U01 HL116330
6 · The paper itself

Abstract

Despite the common use of thrombolytic drugs, especially in stroke treatment, there are many conflicting studies on factors affecting fibrinolysis. Because of the complexity of the fibrinolytic system, mathematical models closely tied with experiments can be used to understand relationships within the system. When tPA is introduced at the clot or thrombus edge, lysis proceeds as a front. We developed a multiscale model of fibrinolysis that includes the main chemical reactions: the microscale model represents a single fiber cross-section; the macroscale model represents a three-dimensional fibrin clot. The model successfully simulates the spatial and temporal locations of all components and elucidates how lysis rates are determined by the interplay between the number of tPA molecules in the system and clot structure. We used the model to identify kinetic conditions necessary for fibrinolysis to proceed as a front. We found that plasmin regulates the local concentration of tPA through forced unbinding via degradation of fibrin and tPA release. The mechanism of action of tPA is affected by the number of molecules present with respect to fibrin fibers. The physical mechanism of plasmin action (crawling) and avoidance of inhibition is defined. Many of these new findings have significant implications for thrombolytic treatment.

Indexed as

FibrinolysisFibrinolysinHumansKineticsModels, TheoreticalTissue Plasminogen ActivatorFibrinolysinTissue Plasminogen Activator

Identifiers

PMID28785035
PMCPMC5547096
OpenAlexW2739111418

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.