Evidence map›Paper›PMID 41122015›Full record

ArticleSoft matter2025

Loading causes molecular damage in fibrin fibers.

Sajjad Norouzi, Matthew J Lohr, Mayar T Ibrahim, Christian M Jennings, Daniel Wang, Pengyu Ren, Manuel K Rausch, Sapun H Parekh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Soft matter, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sajjad NorouziDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. sajjadnorouzi@utexas.edu.
Matthew J LohrDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. sajjadnorouzi@utexas.edu.
Mayar T IbrahimDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. sajjadnorouzi@utexas.edu.
Christian M JenningsDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. sajjadnorouzi@utexas.edu.
Daniel WangDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. sajjadnorouzi@utexas.edu.
Pengyu RenDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. sajjadnorouzi@utexas.edu.ORCID http://orcid.org/0000-0002-5613-1910
Manuel K RauschDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. sajjadnorouzi@utexas.edu.ORCID http://orcid.org/0000-0003-1337-6472
Sapun H ParekhDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA. sajjadnorouzi@utexas.edu.ORCID http://orcid.org/0000-0001-8522-1854

Funding

DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDR01GM106137 · NIGMS · WASHINGTON UNIVERSITY · PI JAY PONDER, Pengyu Ren · 2013 to 2026
$3.5M
Comprehensive Training Program in Imaging Science and InformaticsT32EB007507 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MARKEY, MIA K, RYLANDER, HENRY GRADY · 2009 to 2024
$2.7M
NIBIB NIH HHS T32 EB007507NIGMS NIH HHS R01 GM106137
6 · The paper itself

Abstract

Blood clots are the body's natural biomaterials formed during wound healing, but they are also the cause of many pathologies, such as ischemic stroke. Fibrin, the main protein in clots, provides clots with mechanical strength through a network of fibrin fibers. These fibers exhibit high extensibility and primarily elastic properties under static loading conditions though little is known about single fiber mechanics under dynamic loading, as experienced

Indexed as

FibrinElasticityMolecular Dynamics SimulationViscosityFibrin

Identifiers

PMID41122015
PMCPMC12541363

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.