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Prognostic implications of troponin T variations in inherited cardiomyopathies using systems biology
Rameen Shakur1,2, Juan Pablo Ochoa3,4, Alan J Robinson5
1The Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Boston, Massachusetts, 02459, United States. rshakur@mit.edu.
Insights
Genetic variations in cardiac troponin T impact patient outcomes in familial cardiomyopathy. Specific regions (90-130 and 131-179) are identified as high-risk hotspots for sudden cardiac death and heart failure, respectively.
Area of Science:
- Cardiovascular Genetics
- Systems Biology
- Molecular Cardiology
Background:
- Cardiac troponin T (TNNT) variations are crucial for prognostication in patients with familial cardiomyopathy and sudden cardiac death risk.
- Disparities in patient outcomes necessitate advanced methods for risk stratification and management.
- Understanding the impact of genetic variations on protein interactions is key to improving clinical prognosis.
Purpose of the Study:
- To investigate the impact of cardiac troponin T variations on intermolecular interactions within the thin filament complex.
- To develop and apply an unbiased systems biology model for analyzing the functional, structural, and physico-chemical consequences of these variations.
- To integrate genomic and structural data with clinical outcomes for enhanced risk stratification in familial cardiomyopathy.
Main Methods:
- Development of a novel, unbiased dynamic model to analyze genetic variations in troponins.
- Integration of the dynamic model with clinical data from a systematic review of 106 articles on familial cardiomyopathy.
- Analysis of 136 disease-causing variations across 981 clinical cases.
- Survival analysis comparing high-risk (regions 90-129, 130-180) and low-risk (regions 1-89, 200-288) variation regions.
Main Results:
- Identified distinct pathogenic hotspots for dilated and hypertrophic cardiomyopathies.
- Cardiac troponin T variations in regions 90-129 and 130-179 were associated with worse survival, particularly concerning sudden cardiac death.
- Region 90-130 emerged as a hotspot for sudden cardiac death, while region 131-179 was linked to heart failure death/transplantation outcomes, predominantly in dilated cardiomyopathy.
- Survival analysis showed significant differences between high-risk and low-risk regions for both sudden cardiac death (p=0.011) and heart failure death/transplant (p=0.028).
Conclusions:
- The study highlights specific regions of cardiac troponin T as critical determinants of clinical outcomes in familial cardiomyopathy.
- The integrative approach combining genomic, structural, and clinical data provides a powerful framework for understanding genotype-phenotype correlations.
- Findings have implications for refining clinical genomics methodologies and improving risk stratification strategies for patients at risk of sudden cardiac death and heart failure.
Abstract:
The cardiac troponin T variations have often been used as an example of the application of clinical genotyping for prognostication and risk stratification measures for the management of patients with a family history of sudden cardiac death or familial cardiomyopathy. Given the disparity in patient outcomes and therapy options, we investigated the impact of variations on the intermolecular interactions across the thin filament complex as an example of an unbiased systems biology method to better define clinical prognosis to aid future management options. We present a novel unbiased dynamic model to define and analyse the functional, structural and physico-chemical consequences of genetic variations among the troponins. This was subsequently integrated with clinical data from accessible global multi-centre systematic reviews of familial cardiomyopathy cases from 106 articles of the literature: 136 disease-causing variations pertaining to 981 global clinical cases. Troponin T variations showed distinct pathogenic hotspots for dilated and hypertrophic cardiomyopathies; considering the causes of cardiovascular death separately, there was a worse survival in terms of sudden cardiac death for patients with a variation at regions 90-129 and 130-179 when compared to amino acids 1-89 and 200-288. Our data support variations among 90-130 as being a hotspot for sudden cardiac death and the region 131-179 for heart failure death/transplantation outcomes wherein the most common phenotype was dilated cardiomyopathy. Survival analysis into regions of high risk (regions 90-129 and 130-180) and low risk (regions 1-89 and 200-288) was significant for sudden cardiac death (p = 0.011) and for heart failure death/transplant (p = 0.028). Our integrative genomic, structural, model from genotype to clinical data integration has implications for enhancing clinical genomics methodologies to improve risk stratification.
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