Active Heart, Stroke & Blood Brain & Nervous System

Precision phenotyping of hypertrophic cardiomyopathy for risk stratification and targeted therapeutics.

In plain English

AI plain-English summary

A heart muscle condition called hypertrophic cardiomyopathy can kill young people without warning, but doctors cannot reliably predict who will get sick. The disease runs in families, yet many people who carry the faulty gene never develop serious symptoms. This fellowship aims to change that by using cardiac magnetic resonance (CMR) scans to catch early signs of trouble—specifically, how well the heart muscle takes up oxygen under stress. The researcher will link these scan findings to the underlying biology, test whether they can serve as a real-time measure of disease activity in clinical trials, and see if they predict who will worsen over time. If successful, this work could transform how doctors stage the disease and decide who needs emerging treatments like gene editing or targeted drugs. Instead of waiting for symptoms to appear, clinicians might one day intervene early, preventing sudden death and heart failure. The research also explores whether cheaper CT scans could replace CMR for routine monitoring, which would make precision diagnostics more accessible in everyday hospital settings.

View original technical description
Hypertrophic cardiomyopathy (HCM), a common genetic disease, is an important cause of sudden death, heart failure and stroke in the young. Among carriers of HCM-causing gene mutations, only some develop advanced disease and symptoms in their lifetime, which can be hard to predict. Emerging disease-modifying therapies like gene editing therapies and small molecule modulators can potentially arrest disease progression or even cure HCM. However, knowing who to target, when to intervene, and how best to measure therapeutic efficacy remains challenging. Cardiac magnetic resonance (CMR) can detect a range of early HCM phenotypes, which may help identify who will progress. During this fellowship, I will a) establish the biological basis of one of the earliest CMR measures of disease activity (blunted stress oxygenation) in HCM, b) examine its utility as a dynamic readout for use in clinical trials, c) evaluate its role along with other CMR measures in predicting disease progression and exercise capacity, and d) identify alternative imaging-based disease-specific measures (such as computed tomography) that can be used to predict disease progression. This research is expected to significantly impact how we stage disease in HCM and undertake clinical trials, paving the way for precision diagnostics and therapeutics.

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Researchers

Betty Raman (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Mechanistic insights into the potential reversal of Hypertrophic Cardiomyopathy
Predictors of disease progression in hypertrophic cardiomyopathy
Multidimensional diffusion encoding MRI: Novel imaging biomarkers of tissue microstructure in hypertrophic cardiomyopathy
Deep structural phenotype of hypertrophic cardiomyopathy; from mutation to hypertrophy (Dr George Joy)
Childhood hypertrophic cardiomyopathy: characterising early phenotypes and disease progression to identify novel therapeutic targets

Original classification

Career Development Award

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