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Whole blood epigenomic and transcriptomic characterization identifies vulnerable molecular subtypes of chronic
Matthew Muller1,2,3,4, MacIntosh G Cornwell1,2, Sandhya Rajkumar1,2,4
1Division of Precision Medicine, Department of Medicine, New York University Langone Health, New York, NY, USA.
Insights
New blood tests using multi-omic data can identify distinct chronic coronary disease (CCD) subtypes. These subtypes predict cardiovascular event risk better than current methods, improving personalized treatment for CCD patients.
Area of Science:
- Cardiovascular Medicine
- Genomics
- Molecular Biology
Background:
- Chronic coronary disease (CCD) is a major global health burden.
- Current clinical assessments inadequately predict cardiovascular (CV) event risk in CCD patients.
- A need exists for improved risk stratification tools in established CCD.
Purpose of the Study:
- To molecularly characterize patients with CCD using high-dimensional omic data.
- To identify distinct molecular subtypes of CCD associated with CV event risk.
- To validate these subtypes in independent cohorts for generalizability.
Main Methods:
- Integrated transcriptomic (N=646) and methylomic (N=732) data from the ISCHEMIA Trial biorepository.
- Combined molecular data with core-lab confirmed clinical phenotyping.
- Validated molecular subtypes in two independent external cohorts.
Main Results:
- Identified distinct whole-blood molecular subtypes of CCD.
- These subtypes showed differential CV event risks, independent of clinical scores.
- Subtypes exhibited unique molecular and immune profiles, confirmed by external validation.
Conclusions:
- Blood-based multi-omic approaches can refine risk stratification in CCD.
- Molecular subtypes offer potential for personalized treatment strategies.
- These findings advance secondary prevention efforts for patients with CCD.
Abstract:
Chronic coronary disease (CCD) remains a leading cause of morbidity and mortality worldwide. However, current clinical assessments, including tests of inducible ischemia or coronary artery disease severity poorly discriminate risk for future cardiovascular (CV) disease events among this population with established CCD. To address this gap, our study leverages high-dimensional molecular data from the ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) Trials biorepository to molecularly characterize patients with CCD. By integrating transcriptomic (N = 646) and methylomic (N = 732) data with core-lab confirmed clinical phenotyping, we describe molecular signatures associated with disease severity and identify distinct whole-blood molecular subtypes of CCD. These subtypes demonstrate differential risks of CV events, independent of traditional clinical risk scores, and have distinct molecular and immune profiles. Validation of the transcriptomic and methylomic subtypes in two independent external cohorts confirms the clinical relevance and generalizability of our findings. These findings underscore the potential of blood-based multi-omic approaches to refine risk stratification, improve personalized treatment strategies and advance secondary prevention in CCD. Clinical Trial Registration: ClinicalTrials.gov identifier: NCT01471522; https://clinicaltrials.gov/ct2/show/NCT01471522 .
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