Evidence map›Paper›PMID 30613281›Full record

ArticleTheranostics2018

MicroCT imaging reveals differential 3D micro-scale remodelling of the murine aorta in ageing and Marfan syndrome.

Júlia López-Guimet, Lucía Peña-Pérez, Robert S Bradley, Patricia García-Canadilla, Catherine Disney, Hua Geng, Andrew J Bodey, Philip J Withers, Bart Bijnens, Michael J Sherratt and 1 more

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. X-ray microtomography reveals a lattice-like network within aortic elastic lamellae.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Article
  3. Review
  4. Article
  5. Review
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

11 authors at 3 institutions in 2 countries.

Júlia López-GuimetDepartament de Biomedicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain.
Lucía Peña-PérezPhySense group, Deptartament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra, Barcelona, Spain.
Robert S BradleyHenry Moseley X-ray Imaging Facility, School of Materials, University of Manchester, Manchester, United Kingdom.
Patricia García-CanadillaPhySense group, Deptartament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra, Barcelona, Spain.
Catherine DisneyDivision of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, University of Manchester, Manchester, United Kingdom.
Hua GengDivision of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, University of Manchester, Manchester, United Kingdom.
Andrew J BodeyDiamond Light Source, Oxfordshire, OX11 0DE, Oxford, United Kingdom.
Philip J WithersHenry Moseley X-ray Imaging Facility, School of Materials, University of Manchester, Manchester, United Kingdom.
Bart BijnensPhySense group, Deptartament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra, Barcelona, Spain.
Michael J SherrattDivision of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, University of Manchester, Manchester, United Kingdom.
Gustavo EgeaDepartament de Biomedicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain.
Departament de Salut · ESUniversity of Manchester · GBInstitució Catalana de Recerca i Estudis Avançats · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic wall remodelling is a key feature of both ageing and genetic connective tissue diseases, which are associated with vasculopathies such as Marfan syndrome (MFS). Although the aorta is a 3D structure, little attention has been paid to volumetric assessment, primarily due to the limitations of conventional imaging techniques. Phase-contrast microCT is an emerging imaging technique, which is able to resolve the 3D micro-scale structure of large samples without the need for staining or sectioning.

Indexed as

AgingAnimalsAortaCross-Sectional StudiesDisease Models, AnimalImaging, Three-DimensionalMarfan SyndromeMiceMicroscopy, Phase-ContrastX-Ray Microtomographyageingaortaelastic lamellaMarfan syndromemicroCT

Identifiers

PMID30613281
PMCPMC6299435
OpenAlexW2890568813

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.