Evidence map›Paper›PMID 38950604›Full record

ArticleThrombosis and haemostasis2025

Novel Insights into the Aortic Mechanical Properties of Mice Modeling Hereditary Aortic Diseases.

Nicolo Dubacher, Kaori Sugiyama, Jeffrey D Smith, Vanessa Nussbaumer, Máté Csonka, Szilamér Ferenczi, Krisztina J Kovács, Sylvan M Caspar, Lisa Lamberti, Janine Meienberg and 3 more

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Article in Thrombosis and haemostasis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
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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

13 authors.

Nicolo DubacherCenter for Cardiovascular Genetics and Gene Diagnostics, Swiss Foundation for People with Rare Diseases, Schlieren-Zurich, Switzerland.
Kaori SugiyamaInstitute for Advanced Research of Biosystem Dynamics, Research Institute for Science and Engineering, Waseda University, Tokyo, Japan.
Jeffrey D SmithSaha Cardiovascular Research Center, University of Kentucky, Lexington, Kentucky, United States.
Vanessa NussbaumerCenter for Cardiovascular Genetics and Gene Diagnostics, Swiss Foundation for People with Rare Diseases, Schlieren-Zurich, Switzerland.
Máté CsonkaCenter for Cardiovascular Genetics and Gene Diagnostics, Swiss Foundation for People with Rare Diseases, Schlieren-Zurich, Switzerland.
Szilamér FerencziLaboratory of Molecular Neuroendocrinology, Institute of Experimental Medicine, Budapest, Hungary.
Krisztina J KovácsLaboratory of Molecular Neuroendocrinology, Institute of Experimental Medicine, Budapest, Hungary.
Sylvan M CasparCenter for Cardiovascular Genetics and Gene Diagnostics, Swiss Foundation for People with Rare Diseases, Schlieren-Zurich, Switzerland.
Lisa LambertiCenter for Cardiovascular Genetics and Gene Diagnostics, Swiss Foundation for People with Rare Diseases, Schlieren-Zurich, Switzerland.
Janine MeienbergCenter for Cardiovascular Genetics and Gene Diagnostics, Swiss Foundation for People with Rare Diseases, Schlieren-Zurich, Switzerland.
Hiromi YanagisawaLife Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba, Japan.
Mary B SheppardDepartment of Family and Community Medicine, University of Kentucky, Lexington, Kentucky, United States.
Gabor MatyasCenter for Cardiovascular Genetics and Gene Diagnostics, Swiss Foundation for People with Rare Diseases, Schlieren-Zurich, Switzerland.

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
Pharmacological Mechanistic Insights into Thoracic Aortic AneurysmK01HL149984 · NHLBI · UNIVERSITY OF KENTUCKY · PI SHEPPARD, MARY BURCHETT · 2021 to 2025
$886k
JSPS KAKENHI JP20H03762NCATS NIH HHS UL1 TR001998NHLBI NIH HHS K01 HL149984
6 · The paper itself

Abstract

objectiveHereditary aortic diseases (hADs) increase the risk of aortic dissections and ruptures. Recently, we have established an objective approach to measure the rupture force of the murine aorta, thereby explaining the outcomes of clinical studies and assessing the added value of approved drugs in vascular Ehlers-Danlos syndrome (vEDS). Here, we applied our approach to six additional mouse hAD models. MATERIAL AND

methodsWe used two mouse models (

resultsThe aortic rupture force of the SMKO and both MFS models was significantly lower compared with wild-type mice but in both MFS models higher than in mice modeling vEDS. In contrast, the

conclusionOur read-out system can characterize the aortic biomechanical integrity of mice modeling not only vEDS but also related hADs, allowing the aortic-rupture-force-focused comparison of mouse models. Furthermore, aneurysm progression alone may not be a sufficient read-out for aortic rupture, as antihypertensive drugs reducing aortic dilatation might not strengthen the weakened aortic wall. Our results may enable identification of improved medical therapies of hADs.

Indexed as

Aorta, ThoracicAortic RuptureEhlers-Danlos SyndromeMarfan SyndromeAdipokinesAnimalsBiomechanical PhenomenaDisease Models, AnimalExtracellular Matrix ProteinsFibrillin-1Gene Knock-In TechniquesHumansLosartanMaleMiceMice, Inbred C57BLAdipokinesExtracellular Matrix ProteinsFbn1 protein, mouseFibrillin-1LosartanTissue Inhibitor of Metalloproteinase-1

Identifiers

PMID38950604
PMCPMC11737803

What Socratic holds

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LicenceCC BY-NC-ND
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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.