Evidence map›Paper›PMID 30251206›Full record

ArticleBiomechanics and modeling in mechanobiology2019

Local variations in material and structural properties characterize murine thoracic aortic aneurysm mechanics.

Matthew R Bersi, Chiara Bellini, Jay D Humphrey, Stéphane Avril

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Growth arrest of thoracic aortic aneurysms in aging Marfan mice.American journal of physiology. Heart and circulatory physiology · 2026
    Article
  3. Review
  4. Mechanisms driving thoracic aortic aneurysm instability.Biomechanics and modeling in mechanobiology · 2026
    Article
  5. Mechanisms Driving Thoracic Aortic Aneurysm Stability.bioRxiv : the preprint server for biology · 2025
    Article
  6. Ascending aortic aneurysm growth in the Fbln4Biomechanics and modeling in mechanobiology · 2025
    Article
  7. Inverse finite element identification of murine aortic material properties:Computer methods in biomechanics and biomedical engineering · 2025
    Article
  8. Article
  9. Transport across the thoracic aortic wall: implications for aneurysm pathobiology, diagnosis, and treatment.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. A Fast, Robust Method for Quantitative Assessment of Collagen Fibril Architecture from Transmission Electron Micrographs.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2023
    Article
  19. Article
  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

4 authors.

Matthew R BersiDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Chiara BelliniDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Stéphane AvrilINSERM U1059, SAINBIOSE, CIS-EMSE, Mines Saint-Etienne, University of Lyon, 42023, Saint Etienne, France. avril@emse.fr.ORCID http://orcid.org/0000-0002-6216-4188

Funding

TGFB-Dependent Mechanoresponses by Aortic Smooth Muscle Cells Govern AneurysmsP01HL134605 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HUMPHREY, JAY D. · 2018 to 2022
$12.1M
Mechanisms Underlying The Progression of Large Artery Stiffness in HypertensionR01HL105297 · NHLBI · YALE UNIVERSITY · PI FIGUEROA, CARLOS ALBERTO, HUMPHREY, JAY D. · 2010 to 2019
$3.0M
Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic DissectionU01HL116323 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2013 to 2017
$2.4M
A new paradigm for aortic dissection: Mechanical mechanisms of delaminationR21EB020968 · NIBIB · YALE UNIVERSITY · PI HUMPHREY, JAY D. · 2016 to 2017
$461k
Gender Specific Evolution of Abdominal Aortic Aneurysm Composition and PropertiesR21HL107768 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D. · 2012 to 2013
$421k
European Research Council () ERC-2014-CoG BIOLOCHANICSNHLBI NIH HHS P01 HL134605NHLBI NIH HHS R01 HL105297NHLBI NIH HHS R21 HL107768NHLBI NIH HHS U01 HL116323NIBIB NIH HHS R21 EB020968
6 · The paper itself

Abstract

We recently developed an approach to characterize local nonlinear, anisotropic mechanical properties of murine arteries by combining biaxial extension-distension testing, panoramic digital image correlation, and an inverse method based on the principle of virtual power. This experimental-computational approach was illustrated for the normal murine abdominal aorta assuming uniform wall thickness. Here, however, we extend our prior approach by adding an optical coherence tomography (OCT) imaging system that permits local reconstructions of wall thickness. This multimodality approach is then used to characterize spatial variations of material and structural properties in ascending thoracic aortic aneurysms (aTAA) from two genetically modified mouse models (fibrillin-1 and fibulin-4 deficient) and to compare them with those from angiotensin II-infused apolipoprotein E-deficient and wild-type control ascending aortas. Local values of stored elastic energy and biaxial material stiffness, computed from spatial distributions of the best fit material parameters, varied significantly with circumferential position (inner vs. outer curvature, ventral vs. dorsal sides) across genotypes and treatments. Importantly, these data reveal an inverse relationship between material stiffness and wall thickness that underlies a general linear relationship between stiffness and wall stress across aTAAs. OCT images also revealed sites of advanced medial degeneration, which were captured by the inverse material characterization. Quantification of histological data further provided high-resolution local correlations among multiple mechanical metrics and wall microstructure. This is the first time that such structural defects and local properties have been characterized mechanically, which can better inform computational models of aortopathy that seek to predict where dissection or rupture may initiate.

Indexed as

AnimalsAortic Aneurysm, ThoracicBiomechanical PhenomenaMiceStress, MechanicalTomography, Optical CoherenceAortic aneurysmConstitutive relationFibrillin-1Fibulin-4Inverse methodMaterial heterogeneityStructure–function

Identifiers

PMID30251206
PMCPMC6367054

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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.