Logo

American Heart Association

  103
  0


Final ID: Su1054

Assessment of Myocardial Strain with Cardiac Magnetic Resonance Imaging in Patients at Genetic Risk of Dilated Cardiomyopathy

Abstract Body (Do not enter title and authors here): Background: Genetic risk and myocardial strain have emerged as early indicators of susceptibility to dilated cardiomyopathy (DCM). However, it remains unclear whether these markers are associated with one another and enhance the prediction of incident disease.

Aim: We evaluated the interplay between measures of myocardial strain by cardiac magnetic resonance imaging (CMR) and genetic (monogenic and polygenic) risk for DCM, and their capabilities for predicting incident disease.

Methods: We performed a retrospective analysis of 39,217 participants in the UK Biobank without cardiomyopathy, heart failure, or valvular heart disease at enrollment. Genetic risk was determined by the presence of a high confidence rare variant across 12 ClinGen-prioritized DCM genes and/or a high DCM polygenic risk score (PRS). CMR-derived measures of left ventricular (LV) myocardial strain, size, and function were obtained. Myocardial strain assessments included LV global longitudinal (GLS), global circumferential (GCS) and global radial strain (GRS).

Results: Both monogenic and polygenic risk for DCM were most strongly correlated with LV GCS as compared to LVGLS or LVGRS. Specifically, compared to non-carriers of DCM-rare variants, TTN rare variant carriers (n=139) demonstrated worse LVGCS (-19.79 vs. -22.40, p=1.51e-21). Participants with high DCM polygenic risk also had worse mean LVGCS (top 10% vs. middle 50% of the DCM PRS, -21.43 vs. -22.39, p = 8.06e-53) (Figure 1). In addition, those with a significant relative interval decline in LVGCS (≥ 12%, n=45) had a higher median PRS (0.43 vs. -0.05, p=0.0097) compared to those without (n=177); this relationship was not evident for LV GLS or GRS. Multivariable Cox regression models adjusted for baseline LVEF, age, sex and body mass index showed that both LVGCS (HR=1.56 [1.13–2.14] per standard deviation (SD) of LVGCS, p=0.0065) and DCM PRS (HR=1.52 per SD of PRS [1.19–1.95], p=0.00072) were associated with an increased risk of incident non-ischemic cardiomyopathy (n=67).

Conclusion: High genetic risk for DCM is strongly associated with worse LVGCS, and both genetic risk and LVGCS may have value for incident disease prediction.
  • Pillutla, Virimchi  ( The Broad Institute , Cambridge , Massachusetts , United States )
  • Ellinor, Patrick  ( The Broad Institute, Massachusetts General Hospital , Cambridge , Massachusetts , United States )
  • Neilan, Tomas  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Aragam, Krishna  ( The Broad Institute, Massachusetts General Hospital , Cambridge , Massachusetts , United States )
  • Zheng, Alice  ( The Broad Institute, Massachusetts General Hospital , Cambridge , Massachusetts , United States )
  • Juhasz, Vencel  ( Massachusetts General Hospital , Boston , Massachusetts , United States )
  • Jurgens, Sean  ( The Broad Institute, Amsterdam University Medical Center , Amsterdam , Netherlands )
  • Challa, Saketh  ( The Broad Institute , Cambridge , Massachusetts , United States )
  • Ramo, Joel  ( The Broad Institute, Institute for Molecular Medicine Finland , Cambridge , Massachusetts , United States )
  • Kramarenko, Daria  ( Amsterdam University Medical Center , Amsterdam , Netherlands )
  • Daly, Mark  ( The Broad Institute, Massachusetts General Hospital, Institute for Molecular Medicine Finland , Cambridge , Massachusetts , United States )
  • Bezzina, Connie  ( Amsterdam University Medical Center , Amsterdam , Netherlands )
  • Author Disclosures:
    Virimchi Pillutla: DO NOT have relevant financial relationships | Patrick Ellinor: No Answer | Tomas Neilan: DO have relevant financial relationships ; Consultant:Bristol-Myers Squibb:Active (exists now) ; Consultant:Parexel:Active (exists now) ; Consultant:Sanofi:Active (exists now) ; Research Funding (PI or named investigator):Abbott:Active (exists now) ; Research Funding (PI or named investigator):Bristol-Myers Squibb:Active (exists now) ; Consultant:Genentech:Active (exists now) ; Consultant:Roche:Active (exists now) | Krishna Aragam: DO NOT have relevant financial relationships | Alice Zheng: DO NOT have relevant financial relationships | Vencel Juhasz: DO NOT have relevant financial relationships | Sean Jurgens: DO NOT have relevant financial relationships | Saketh Challa: DO have relevant financial relationships ; Individual Stocks/Stock Options:Neurlogix:Active (exists now) | Joel Ramo: DO NOT have relevant financial relationships | Daria Kramarenko: DO NOT have relevant financial relationships | Mark Daly: No Answer | Connie Bezzina: No Answer
Meeting Info:

Scientific Sessions 2024

2024

Chicago, Illinois

Session Info:

Omics of Heart Failure

Sunday, 11/17/2024 , 03:15PM - 04:15PM

Abstract Poster Session

More abstracts on this topic:
A CRISPR-Activation CROP-seq Screen Identifies HMGN1 as a Dosage-Sensitive Regulator of Heart Defects in Down Syndrome

Ranade Sanjeev, Mital Rahul, Boileau Ryan, Koback Frances, Padmanabhan Arun, Merriman Alexander, Wallace Langley, Nguyen Annie, Poulis Nikolaus, Gifford Casey, Pollard Katherine, Li Feiya, Srivastava Deepak, Whalen Sean, Angelo Pelonero, Ye Lin, Huang Yu, Brand Abigail, Nishino Tomohiro, Costa Mauro

4D Flow MRI Evaluation of Cardiovascular Risk-Related Alterations in Heart-Brain Hemodynamics in Cognitively Healthy Aging Adults

Najafi Anahita, Rogalski Emily, Jarvis Kelly, Richter Adam, Lytchakov Anna, Benson Theresa, Jin Ning, Davids Rachel, Schnell Susanne, Ragin Ann, Weintraub Sandra

More abstracts from these authors:
A human cardiomyocyte model of CD36 haploinsufficiency uncovers fatty acid oxidation deficits driving dilated cardiomyopathy

Al Sayed Zeina, Klattenhoff Carla, Aragam Krishna, Ellinor Patrick, Willcox Jon, Zheng Alice, Koledova Vera, Srivastava Salil, Yin Xiaofei, Chaffin Mark, Rigaud Vagner, Kovacs-bogdan Erika

Exome Wide Rare Variant Analysis Identifies Novel Genes Associated with Coronary Artery Disease

Choi Seung Hoan, Koyama Satoshi, Nakao Tetsushi, Hornsby Whitney, Jurgens Sean, Ellinor Patrick, Natarajan Pradeep, Peloso Gina

You have to be authorized to contact abstract author. Please, Login
Not Available