Evidence map›Paper›PMID 29929532›Full record

ArticleJournal of cardiothoracic surgery2018

Candidate plasma biomarkers for predicting ascending aortic aneurysm in bicuspid aortic valve disease.

Oliver J Harrison, Felino Cagampang, Sunil K Ohri, Christopher Torrens, Kareem Salhiyyah, Amit Modi, Narain Moorjani, Anthony D Whetton, Paul A Townsend

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Gelsolin as a predictor of arteriovenous fistula maturation.Clinical and experimental nephrology · 2025
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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

9 authors at 4 institutions in 1 country.

Oliver J HarrisonInstitute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK. ojharrison@doctors.org.uk.ORCID http://orcid.org/0000-0001-6396-6708
Felino CagampangInstitute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Sunil K OhriDepartment of Cardiac Surgery, University Hospital Southampton, Southampton General Hospital, Tremona Road, D-level, North Wing (MP 46), Southampton, UK.
Christopher TorrensInstitute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
Kareem SalhiyyahDepartment of Cardiac Surgery, University Hospital Southampton, Southampton General Hospital, Tremona Road, D-level, North Wing (MP 46), Southampton, UK.
Amit ModiSussex Cardiac Centre, Brighton, UK.
Narain MoorjaniDepartment of Cardiac Surgery, Papworth Hospital NHS Foundation Trust, University of Cambridge, Cambridge, UK.
Anthony D WhettonStoller Biomarker Discovery Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Paul A TownsendStoller Biomarker Discovery Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Southampton General Hospital · GBManchester Academic Health Science Centre · GBUniversity of Southampton · GBUniversity of Cambridge · GB

Funding

Medical Research Council MR/M008959/1Medical Research Council MR/N00583X/1
6 · The paper itself

Abstract

backgroundBicuspid aortic valve (BAV) disease is the most common congenital cardiac abnormality affecting 1-2% of the population and is associated with a significantly increased risk of ascending aortic aneurysm. However, predicting which patients will develop aneurysms remains a challenge. This pilot study aimed to identify candidate plasma biomarkers for monitoring ascending aortic diameter and predicting risk of future aneurysm in BAV patients.

methodsPlasma samples were collected pre-operatively from BAV patients undergoing aortic valve surgery. Maximum ascending aortic diameter was measured on pre-operative transoesophageal echocardiography. Maximum diameter ≥ 45 mm was classified as aneurysmal. Sequential Window Acquisition of all THeoretical Mass Spectra (SWATH-MS), an advanced mass spectrometry technique, was used to identify and quantify all proteins within the samples. Protein abundance and aortic diameter were correlated using logistic regression. Levene's test was used to identify proteins demonstrating low abundance variability in the aneurysmal patients (consistent expression in disease), and high variability in the non-aneurysmal patients (differential expression between 'at risk' and not 'at risk' patients).

resultsFifteen plasma samples were collected (seven non-aneurysmal and 8 aneurysmal BAV patients). The mean age of the patients was 55.5 years and the majority were female (10/15, 67%). Four proteins (haemoglobin subunits alpha, beta and delta and mannan-binding lectin serine protease) correlated significantly with maximal ascending aortic diameter (p < 0.05, r = 0.5-0.6). Five plasma proteins demonstrated significantly lower variability in the aneurysmal group and may indicate increased risk of aneurysm in non-aneurysmal patients (DNA-dependent protein kinase catalytic subunit, lumican, tetranectin, gelsolin and cartilage acidic protein 1). A further 7 proteins were identified only in the aneurysmal group (matrin-3, glucose-6-phosphate isomerase, coactosin-like protein, peptidyl-prolyl cis-trans isomerase A, golgin subfamily B member 1, myeloperoxidase and 2'-deoxynucleoside 5'-phosphate N-hydrolase 1).

conclusionsThis study is the first to identify candidate plasma biomarkers for predicting aortic diameter and risk of future aneurysm in BAV patients. It provides valuable pilot data and proof of principle that could be used to design a large-scale prospective investigation. Ultimately, a more affordable 'off-the-shelf' follow-on blood assay could then be developed in place of SWATH-MS, for use in the healthcare setting.

Indexed as

Echocardiography, TransesophagealAdultAgedAortaAortic AneurysmAortic ValveBicuspid Aortic Valve DiseaseBiomarkersFemaleHeart Valve DiseasesHumansLogistic ModelsMaleMiddle AgedPilot ProjectsProspective StudiesBiomarkersAscending aortic aneurysmBicuspid aortic valvePlasma biomarkerRisk prediction

Identifiers

PMID29929532
PMCPMC6013884
OpenAlexW2809576284

What OpenQuestion holds

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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.