Evidence map›Paper›PMID 29752279›Full record

ArticleDisease models & mechanisms2018

A comprehensive study of calcific aortic stenosis: from rabbit to human samples.

Laura Mourino-Alvarez, Montserrat Baldan-Martin, Tamara Sastre-Oliva, Marta Martin-Lorenzo, Aroa Sanz Maroto, Nerea Corbacho-Alonso, Raul Rincon, Tatiana Martin-Rojas, Luis Fernando Lopez-Almodovar, Gloria Alvarez-Llamas and 4 more

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

14 authors at 4 institutions in 2 countries.

Laura Mourino-AlvarezDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain.ORCID 0000-0002-3928-1554
Montserrat Baldan-MartinDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain.ORCID 0000-0003-0848-8154
Tamara Sastre-OlivaDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain.
Marta Martin-LorenzoDepartment of Immunology, IIS-Fundacion Jimenez Diaz, 28040 Madrid, Spain.
Aroa Sanz MarotoDepartment of Immunology, IIS-Fundacion Jimenez Diaz, 28040 Madrid, Spain.
Nerea Corbacho-AlonsoDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain.
Raul RinconDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain.
Tatiana Martin-RojasDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain.
Luis Fernando Lopez-AlmodovarCardiac Surgery, Hospital Virgen de la Salud, SESCAM, 45071 Toledo, Spain.
Gloria Alvarez-LlamasDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain.
Fernando VivancoDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain.
Luis Rodriguez PadialDepartment of Cardiology, Hospital Virgen de la Salud, SESCAM, 45071 Toledo, Spain.
Fernando de la CuestaCentre for Cardiovascular Science, University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.ORCID 0000-0001-8761-7713
Maria Gonzalez BarderasDepartment of Vascular Physiopathology, Hospital Nacional de Parapléjicos, SESCAM, 45071 Toledo, Spain megonzalezb@sescam.jccm.es.ORCID 0000-0003-4290-4721
Servicio de Salud de Castilla La Mancha · ESHospital Universitario Fundación Jiménez Díaz · ESHospital Virgen de la Salud · ESThe Queen's Medical Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global incidence of calcific aortic stenosis (CAS) is increasing owing, in part, to a growing elderly population. The condition poses a great challenge to public health, because of the multiple comorbidities of these older patients. Using a rabbit model of CAS, we sought to characterize protein alterations associated with calcified valve tissue that can be ultimately measured in plasma as non-invasive biomarkers of CAS. Aortic valves from healthy and mild stenotic rabbits were analyzed by two-dimensional difference gel electrophoresis, and selected reaction monitoring was used to directly measure the differentially expressed proteins in plasma from the same rabbits to corroborate their potential as diagnostic indicators. Similar analyses were performed in plasma from human subjects, to examine the suitability of these diagnostic indicators for transfer to the clinical setting. Eight proteins were found to be differentially expressed in CAS tissue, but only three were also altered in plasma samples from rabbits and humans: transitional endoplasmic reticulum ATPase, tropomyosin α-1 chain and L-lactate dehydrogenase B chain. Results of receiver operating characteristic curves showed the discriminative power of the scores, which increased when the three proteins were analyzed as a panel. Our study shows that a molecular panel comprising three proteins related to osteoblastic differentiation could have utility as a serum CAS indicator and/or therapeutic target.

Indexed as

AgedAnimalsAortic ValveAortic Valve StenosisBiomarkersCalcinosisDisease Models, AnimalElectrophoresis, Gel, Two-DimensionalFemaleHumansMaleProteomicsRabbitsReproducibility of ResultsROC CurveSensitivity and SpecificityBiomarkersAortic stenosisCardiovascularProteomicsRabbit model

Identifiers

PMID29752279
PMCPMC6031362
OpenAlexW2801367807

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.