Evidence map›Paper›PMID 28473723›Full record

ArticleScientific reports2017

High-Resolution Morphological Approach to Analyse Elastic Laminae Injuries of the Ascending Aorta in a Murine Model of Marfan Syndrome.

Júlia López-Guimet, Jordi Andilla, Pablo Loza-Alvarez, Gustavo Egea

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  5. A novel histological occlusion classification for coiled aneurysms based on multiphoton microscopy.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
  6. Transport across the thoracic aortic wall: implications for aneurysm pathobiology, diagnosis, and treatment.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  7. Article
  8. Regnase-1 overexpression as a therapeutic approach of Marfan syndrome.Molecular therapy. Methods & clinical development · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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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

4 authors.

Júlia López-GuimetDepartament de Biomedicina, Facultat de Medicina i Ciencies de la Salut, Universitat de Barcelona, Barcelona, Spain.
Jordi AndillaICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, 08860, Castelldefels, Barcelona, Spain.
Pablo Loza-AlvarezICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, 08860, Castelldefels, Barcelona, Spain.
Gustavo EgeaDepartament de Biomedicina, Facultat de Medicina i Ciencies de la Salut, Universitat de Barcelona, Barcelona, Spain. gegea@ub.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Marfan syndrome, the tunica media is disrupted, which leads to the formation of ascending aortic aneurysms. Marfan aortic samples are histologically characterized by the fragmentation of elastic laminae. However, conventional histological techniques using transverse sections provide limited information about the precise location, progression and 3D extension of the microstructural changes that occur in each lamina. We implemented a method using multiphoton excitation fluorescence microscopy and computational image processing, which provides high-resolution en-face images of segmented individual laminae from unstained whole aortic samples. We showed that internal elastic laminae and successive 2

Indexed as

AnimalsAortaDisease Models, AnimalElastic TissueImage Processing, Computer-AssistedImaging, Three-DimensionalMarfan SyndromeMice, Inbred C57BLMicroscopy, Fluorescence, Multiphoton

Identifiers

PMID28473723
PMCPMC5431420

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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.