Evidence map›Paper›PMID 27256770›Full record

ArticleScientific reports2016

MALDI-Imaging Mass Spectrometry: a step forward in the anatomopathological characterization of stenotic aortic valve tissue.

Laura Mourino-Alvarez, Ibon Iloro, Fernando de la Cuesta, Mikel Azkargorta, Tamara Sastre-Oliva, Iraide Escobes, Luis F Lopez-Almodovar, Pedro L Sanchez, Harkaitz Urreta, Francisco Fernandez-Aviles and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Review
  3. Network-Guided Multiomic Mapping of Aortic Valve Calcification.Arteriosclerosis, thrombosis, and vascular biology · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Trends in mass spectrometry imaging for cardiovascular diseases.Analytical and bioanalytical chemistry · 2019
    Article
  17. Article
  18. Article
  19. Review
  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

15 authors at 6 institutions in 1 country.

Laura Mourino-AlvarezDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, Toledo, Spain.
Ibon IloroProteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, Derio, Spain.
Fernando de la CuestaDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, Toledo, Spain.
Mikel AzkargortaProteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, Derio, Spain.
Tamara Sastre-OlivaDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, Toledo, Spain.
Iraide EscobesProteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, Derio, Spain.
Luis F Lopez-AlmodovarCardiac Surgery, Hospital Virgen de la Salud, SESCAM, Toledo, Spain.
Pedro L SanchezDepartment of Cardiology, Hospital Universitario de Salamanca-IBSAL, Salamanca, Spain.
Harkaitz UrretaIDEKO-IK4, Arriaga Industrialdea, Elgoibar, Spain.
Francisco Fernandez-AvilesDepartment of Cardiology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Angel PintoCardiac Surgery, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Luis R PadialDepartment of Cardiology, Hospital Virgen de la Salud, SESCAM, Toledo, Spain.
Finn AkerströmDepartment of Cardiology, Hospital Virgen de la Salud, SESCAM, Toledo, Spain.
Felix ElortzaProteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, Derio, Spain.
Maria G BarderasDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, Toledo, Spain.
Hospital General Universitario Gregorio Marañón · ESHospital Nacional de Parapléjicos · ESCentro de Investigación Biomédica en Red · ESHospital Virgen de la Salud · ESInstituto de Salud Carlos III · ESServicio de Salud de Castilla La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic stenosis (AS) is the most common form of valve disease. Once symptoms develop, there is an inexorable deterioration with a poor prognosis; currently there are no therapies capable of modifying disease progression, and aortic valve replacement is the only available treatment. Our goal is to study the progression of calcification by matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS) and get new insights at molecular level that could help in the understanding of this disease. In this work, we analyzed consecutive slices from aortic valve tissue by MALDI-IMS, to establish the spatial distribution of proteins and peptides directly from the surface of the histological sections. The analysis showed different structures corresponding to regions observed in conventional histology, including large calcification areas and zones rich in collagen and elastic fibers. Peptide extraction from the tissue, followed by liquid chromatography mass spectrometry analysis, provided the identification of collagen VI α-3 and NDRG2 proteins which correlated with the masses obtained by MALDI-IMS and were confirmed by immunohistochemistry. These results highlighted the molecular mechanism implied in AS using MALDI-IMS, a novel technique never used before in this pathology. In addition, we can define specific regions proving a complementary resolution of the molecular histology.

Indexed as

Transcatheter Aortic Valve ReplacementAged, 80 and overAortic ValveAortic Valve StenosisBiomarkersCollagen Type VIGene ExpressionHumansImmunohistochemistryMaleMicrotomySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTissue EmbeddingTumor Suppressor ProteinsBiomarkersCollagen Type VINDRG2 protein, humanTumor Suppressor Proteins

Identifiers

PMID27256770
PMCPMC4891820
OpenAlexW2419639724

What OpenQuestion holds

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LicenceCC BY
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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.