Evidence map›Paper›PMID 41775185›Full record

ArticleComputers in biology and medicine2026

Alterations in ascending aortic hemodynamics and aortic length correlate with sex-specific thoracic aortic aneurysm dilation and lifespan in a mouse model of severe Marfan syndrome.

Krashn Kr Dwivedi, Yufan Wu, Marisa S Bazzi, Hadi Wiputra, Jacob Rother, James D Quirk, Victor H Barocas, Jessica E Wagenseil

Abstract read
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In one paragraph

Article in Computers in biology and medicine, 2026. 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

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

8 authors.

Krashn Kr DwivediDepartment of Mechanical Engineering and Materials Science, Washington University, Saint Louis, MO, USA.
Yufan WuDepartment of Mechanical Engineering and Materials Science, Washington University, Saint Louis, MO, USA.
Marisa S BazziDepartment of Pediatrics, Stanford University, Palo Alto, CA, USA.
Hadi WiputraDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
Jacob RotherDepartment of Mechanical Engineering and Materials Science, Washington University, Saint Louis, MO, USA.
James D QuirkMallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA.
Victor H BarocasDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
Jessica E WagenseilDepartment of Mechanical Engineering and Materials Science, Washington University, Saint Louis, MO, USA. Electronic address: jessica.wagenseil@wustl.edu.

Funding

Investigating altered smooth muscle cell mechanotransduction as a cause of supravalvular aortic stenosisR01HL166448 · NHLBI · WASHINGTON UNIVERSITY · 2024 to 2025
$778k
Targeted therapy to reverse aortic aneurysmsR01HL133662 · CLEMSON UNIVERSITY · 2025 to 2025
$643k
Complementary animal and computational models for biomarker identification in ascending thoracic aortic aneurysmR01HL164800 · WASHINGTON UNIVERSITY · 2025 to 2025
$590k
NHLBI NIH HHS R01 HL133662NHLBI NIH HHS R01 HL164800NHLBI NIH HHS R01 HL166448NIH HHS S10 OD026913
6 · The paper itself

Abstract

Thoracic aortic aneurysm (TAA) is a dilation of the aorta that may eventually dissect and/or rupture. It is associated with genetic disorders such as Marfan syndrome (MFS) and is a life-threatening cardiovascular condition if left untreated. Current clinical guidelines for TAA management are primarily based on maximum diameter thresholds that are often inadequate, particularly in MFS patients. Moreover, the diameter thresholds are not sex-specific, despite growing evidence that TAA outcomes in MFS are influenced by sex. The aim of this study was to identify non-invasive biomarkers for better management of TAA using male and female mice that are a genetic model of severe MFS and their littermate controls. Fluid-structure interaction (FSI) simulations were performed to assess aortic geometry, hemodynamics, and wall mechanical stresses during TAA progression (as measured by aortic dilation) and outcomes (as measured by mouse lifespan). Oscillatory shear index (OSI) correlated significantly with TAA progression in males, but not females, while time averaged wall shear stress (TAWSS) correlated significantly with TAA progression in females, but not males. Endothelial cell activation potential (ECAP), a metric that combines OSI and TAWSS, was significantly correlated with TAA progression in both sexes and had the strongest correlation with lifespan of all hemodynamic metrics. The geometric metric of aortic elongation ratio (AER) (i.e. length) also had strong correlations with TAA progression and lifespan in male and female mice. This study demonstrates that hemodynamic and geometric metrics hold promise as non-invasive biomarkers for personalized management of TAA in MFS.

Indexed as

AortaAorta, ThoracicAortic Aneurysm, ThoracicHemodynamicsMarfan SyndromeModels, CardiovascularAneurysm, Ascending AortaAnimalsDisease Models, AnimalFemaleMaleMiceAortic aneurysmBiomechanicsExtracellular matrixFluid-structure interactionHemodynamics

Identifiers

PMID41775185
PMCPMC13081028

What Socratic holds

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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 Socratic graph.