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Biomarkers in SCOTland CardiomyopatHy Registry (Bio-SCOTCH)

Biomarkers in SCOTland CardiomyopatHy Registry

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06446271
Enrollment
750
Registered
2024-06-06
Start date
2024-06-26
Completion date
2027-03-19
Last updated
2024-07-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiomyopathies, Cardiomyopathy, Primary, Genetic Predisposition

Keywords

Cardiomyopathy, Genetic, Biomarkers

Brief summary

Genetic cardiomyopathy is increasingly recognised and can lead to heart failure, arrhythmia and sudden cardiac death. Some gene positive patients have rapidly progressive disease with high rates of heart failure and cardiac transplantation, while others present with SCD. Other gene positive patients will never develop cardiomyopathy. At present, we cannot distinguish between these groups and rely on expensive and labour-intensive surveillance by electrocardiography, echocardiography and sometimes cardiac magnetic resonance imaging. This study will investigate existing and novel biomarkers (including blood, urine electrocardiographic and imaging) at various stages of disease in patients with a personal or family history of TTN, MYBPC3, LMNA, FLNC or DSP gene variant, which are known to cause cardiomyopathy.

Detailed description

There is a growing appreciation for the role that genetics play in the development of cardiomyopathy, which can lead to heart failure, arrhythmia and sudden cardiac death. Increased use of genetic testing has identified numerous gene variants, which cause cardiomyopathy with dilated, hypertrophic, restrictive, non-dilated left ventricular and arrhythmogenic right ventricular phenotypes described. Some gene variants cause a rapidly progressive cardiomyopathy with high rates of heart failure and cardiac transplantation, while others present with SCD, meaning that genotype-specific risk stratification and clinical surveillance is urgently needed. Some gene-positive individuals will never develop cardiomyopathy due to variable penetrance. At present, we cannot distinguish between these patients and therefore rely on expensive and labour-intensive surveillance by electrocardiography, echocardiography and sometimes cardiac magnetic resonance imaging. For every gene-positive affected individual with cardiomyopathy, cascade genetic testing will identify other gene-positive family members who are often asymptomatic and may not yet be affected. A blood or urine-based biomarker that identifies pre-clinical disease or cardiomyopathy would allow for more efficient monitoring of gene positive people and could replace multiple, repeated electrocardiograms, echocardiograms and cardiac magnetic resonance imaging scans. A biomarker that accurately identifies pre-clinical cardiomyopathy could enable targeted early treatment. A biomarker that predicts future disease progression would be of high clinical value.

Interventions

This study will investigate existing and novel biomarkers (including blood, urine electrocardiographic and imaging) at various stages of disease in patients with a personal or family history of TTN, MYBPC3, LMNA, FLNC or DSP gene variant, which are known to cause cardiomyopathy. Cardiomyopathy will be defined per European Society of Cardiology cardiomyopathy guidelines and heart failure stage will be defined per American Heart Associate guidelines.

Sponsors

University of Glasgow
CollaboratorOTHER
Roche Diagnostics GmbH
CollaboratorINDUSTRY
NHS Greater Glasgow and Clyde
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
10 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Male or female ≥10 years of age * Written informed consent / assent * Pathogenic or likely pathogenic variant in a cardiomyopathy gene (TTN, LMNA, MYBPC3, DSP, FLNC) or undergoing predictive genetic testing (if negative these people would be invited to enter the control arm)

Exclusion criteria

* Unable to consent. * Geographical / social reasons preventing attending study centre * Unable to complete study assessments. * Severe non-cardiac disease expected to reduce life expectancy \< 5 years * Current participation in a blinded drug interventional trial (or treatment within 4 weeks)

Design outcomes

Primary

MeasureTime frameDescription
Biomarker performance3 yearsDiagnostic performance of existing and novel biomarkers across the spectrum of disease in patients with pathogenic/ likely pathogenic TTN, MYBPC3, LMNA, FLNC or DSP gene variants.

Secondary

MeasureTime frameDescription
Biomarker correlation3 yearsCorrelation of biomarkers with cardiac imaging measures of inflammation and myocardial fibrosis in genetic cardiomyopathies.
Prediction of cardiomyopathy development3 years with long-term data linkageInvestigation of biomarkers that can predict which patients (who are gene positive without cardiomyopathy) will develop cardiomyopathy, heart failure, arrhythmia, or die
Prediction of cardiomyopathy progression3 years with long-term data linkageInvestigation of biomarkers that can predict which patients (who are gene positive with cardiomyopathy) will have progressive cardiomyopathy, heart failure, arrhythmia, or die.
Natural history of genetic cardiomyopathies3 years with long-term data linkageInvestigate the natural history of genetic cardiomyopathy due to variants in TTN, MYBPC3, LMNA, FLNC and DSP genes.

Countries

United Kingdom

Contacts

Primary ContactCaroline J Coats, MBBS, PhD
Caroline.Coats@glasgow.ac.uk0141 451 6121
Backup ContactRachel C Myles, MBBS, PhD
Rachel.Myles@glasgow.ac.uk0141 451 6121

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026