Evidence map›Paper›PMID 39625407›Full record

ArticleAging2024

Exploring aortic stiffness in aging mice: a comprehensive methodological overview.

Laetitia Vanalderwiert, Auberi Henry, Juliana Martins de Souza E Silva, Daniel Carvajal-Berrio, Laurent Debelle, Amandine Wahart, Julia Marzi, Katja Schenke-Layland, Gilles Faury, Isabelle Six and 13 more

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

23 authors.

Laetitia VanalderwiertUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Auberi HenryUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Juliana Martins de Souza E SilvaFraunhofer Institute for Microstructure of Materials and Systems IMWS, Halle (Saale) 06120, Germany.
Daniel Carvajal-BerrioDepartment for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, Eberhard Karls University Tübingen, Tübingen 72076, Germany.
Laurent DebelleUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Amandine WahartUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Julia MarziDepartment for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, Eberhard Karls University Tübingen, Tübingen 72076, Germany.
Katja Schenke-LaylandDepartment for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, Eberhard Karls University Tübingen, Tübingen 72076, Germany.
Gilles FauryINSERM, CHU Grenoble Alpes, University of Grenoble Alpes, Grenoble 38000, France.
Isabelle SixResearch Unit 7517, Pathophysiological Mechanisms and Consequences of Cardiovascular Calcifications (MP3CV), University of Picardie Jules Verne, Amiens, France.
Christian E H SchmelzerFraunhofer Institute for Microstructure of Materials and Systems IMWS, Halle (Saale) 06120, Germany.
Jürgen BrinckmannInstitute of Virology and Cell Biology, University of Lübeck, Lübeck, Germany.
Heiko SteenbockInstitute of Virology and Cell Biology, University of Lübeck, Lübeck, Germany.
Sébastien AlmagroUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Frédéric DelacouxInternational coordinator of The Exact and Natural Faculty of Reims, University of Reims Champagne-Ardenne, Reims 51100, France.
Stéphane JaissonUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Philippe GilleryUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Pascal MauriceUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Hervé SarteletUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Amar BennasrouneUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Laurent DucaUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Béatrice RomierUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.
Sébastien BlaiseUMR CNRS 7369 MEDyC, University of Reims Champagne-Ardenne, Reims 51100, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stiffening of the vascular network is associated with the early stages of vascular aging, leading to cardiovascular disorders (hypertension), renal failures, or neurodegenerative diseases (Alzheimer's). Unfortunately, many people remain undiagnosed because diagnostic methods are either unsuitable for a large population or unfamiliar to clinicians which favor the hypertension evaluation. In preclinical research, stiffness studies are often partially conducted. We think that the evaluation of aortic stiffness is essential as it would improve our understanding of aging diseases progression. We propose here a systematic method using decision trees in a multi-scale and multimodal approaches. Our method was evaluated by analyzing the aortic situation in old and young mice. We demonstrate that both the endothelial and smooth muscle cells exhibit pronounced functional alterations in favor of constriction. Additionally, there is significant remodeling of the extracellular matrix, leading to a drastic degradation of elastic fibers and the accumulation of collagen in the aortic wall. This series of changes contributes to the development of vascular rigidity, a preliminary stage of arterial hypertension. Our results suggest that our method should improve preclinical understanding and encourage clinicians to equip themselves with tools for assessing vascular function, as it is an essential issue for preventing numerous pathologies.

Indexed as

AgingAortaVascular StiffnessAnimalsMiceageingaortic stiffnesscollagen fiberselastic fibersextracellular matrix remodelingmethodological process

Identifiers

PMID39625407
PMCPMC11892926

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.