Evidence map›Paper›PMID 38847081›Full record

ArticleCirculation. Genomic and precision medicine2024

Novel Multiplexed Plasma Biomarker Panel Has Diagnostic and Prognostic Potential in Children With Hypertrophic Cardiomyopathy.

Gabriella Captur, Ivan Doykov, Sheng-Chia Chung, Ella Field, Annabelle Barnes, Enpei Zhang, Imogen Heenan, Gabrielle Norrish, James C Moon, Perry M Elliott and 3 more

Abstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  4. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
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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

13 authors.

Gabriella CapturUCL MRC Unit for Lifelong Health & Ageing, UCL, London, United Kingdom (G.C.).ORCID 0000-0002-5662-0642
Ivan DoykovTranslational Mass Spectrometry Research Group, UCL Institute of Child Health, London, United Kingdom (I.D., E.Z., W.E.H., K.M.).ORCID 0000-0002-4580-6396
Sheng-Chia ChungUCL Institute of Health Informatics Research, Division of Infection and Immunity, London, United Kingdom (S.-C.C.).ORCID 0000-0001-6025-9207
Ella FieldCentre for Paediatric Inherited & Rare Cardiovascular Disease, Institute of Cardiovascular Science, London, United Kingdom (E.F., A.B., I.H., G.N., J.P.K.).ORCID 0000-0002-0808-2763
Annabelle BarnesCentre for Paediatric Inherited & Rare Cardiovascular Disease, Institute of Cardiovascular Science, London, United Kingdom (E.F., A.B., I.H., G.N., J.P.K.).ORCID 0009-0001-3629-4464
Enpei ZhangTranslational Mass Spectrometry Research Group, UCL Institute of Child Health, London, United Kingdom (I.D., E.Z., W.E.H., K.M.).
Imogen HeenanCentre for Paediatric Inherited & Rare Cardiovascular Disease, Institute of Cardiovascular Science, London, United Kingdom (E.F., A.B., I.H., G.N., J.P.K.).ORCID 0000-0001-7820-4474
Gabrielle NorrishCentre for Paediatric Inherited & Rare Cardiovascular Disease, Institute of Cardiovascular Science, London, United Kingdom (E.F., A.B., I.H., G.N., J.P.K.).ORCID 0000-0003-2064-237X
James C MoonBarts Heart Centre, the Cardiovascular Magnetic Resonance Unit, London, United Kingdom (J.C.M.).ORCID 0000-0001-8071-1491
Perry M ElliottBarts Heart Centre, the Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, London, United Kingdom (P.M.E.).ORCID 0000-0003-3383-3984
Wendy E HeywoodTranslational Mass Spectrometry Research Group, UCL Institute of Child Health, London, United Kingdom (I.D., E.Z., W.E.H., K.M.).ORCID 0000-0003-2106-8760
Kevin MillsTranslational Mass Spectrometry Research Group, UCL Institute of Child Health, London, United Kingdom (I.D., E.Z., W.E.H., K.M.).ORCID 0000-0003-0763-8288
Juan Pablo KaskiCentre for Paediatric Inherited & Rare Cardiovascular Disease, Institute of Cardiovascular Science, London, United Kingdom (E.F., A.B., I.H., G.N., J.P.K.).ORCID 0000-0002-0014-9927

Funding

British Heart Foundation FS/16/72/32270Medical Research Council MR/T024062/1
6 · The paper itself

Abstract

backgroundHypertrophic cardiomyopathy (HCM) is defined clinically by pathological left ventricular hypertrophy. We have previously developed a plasma proteomics biomarker panel that correlates with clinical markers of disease severity and sudden cardiac death risk in adult patients with HCM. The aim of this study was to investigate the utility of adult biomarkers and perform new discoveries in proteomics for childhood-onset HCM.

methodsFifty-nine protein biomarkers were identified from an exploratory plasma proteomics screen in children with HCM and augmented into our existing multiplexed targeted liquid chromatography-tandem/mass spectrometry-based assay. The association of these biomarkers with clinical phenotypes and outcomes was prospectively tested in plasma collected from 148 children with HCM and 50 healthy controls. Machine learning techniques were used to develop novel pediatric plasma proteomic biomarker panels.

resultsFour previously identified adult HCM markers (aldolase fructose-bisphosphate A, complement C3a, talin-1, and thrombospondin 1) and 3 new markers (glycogen phosphorylase B, lipoprotein a and profilin 1) were elevated in pediatric HCM. Using supervised machine learning applied to training (n=137) and validation cohorts (n=61), this 7-biomarker panel differentiated HCM from healthy controls with an area under the curve of 1.0 in the training data set (sensitivity 100% [95% CI, 95-100]; specificity 100% [95% CI, 96-100]) and 0.82 in the validation data set (sensitivity 75% [95% CI, 59-86]; specificity 88% [95% CI, 75-94]). Reduced circulating levels of 4 other peptides (apolipoprotein L1, complement 5b, immunoglobulin heavy constant epsilon, and serum amyloid A4) found in children with high sudden cardiac death risk provided complete separation from the low and intermediate risk groups and predicted mortality and adverse arrhythmic outcomes (hazard ratio, 2.04 [95% CI, 1.0-4.2];

conclusionsIn children, a 7-biomarker proteomics panel can distinguish HCM from controls with high sensitivity and specificity, and another 4-biomarker panel identifies those at high risk of adverse arrhythmic outcomes, including sudden cardiac death.

Indexed as

BiomarkersCardiomyopathy, HypertrophicProteomicsAdolescentAdultChildChild, PreschoolFemaleHumansInfantMalePrognosisBiomarkersbiomarkerscardiomyopathy, hypertrophicdeath, sudden, cardiacmachine learningproteomics

Identifiers

PMID38847081
PMCPMC11188636

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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.