Abstract 4369410: Angiotensin Converting Enzyme Gene Polymorphisms (ACE-I/D) Do Not Predict Exercise-Induced Cardiac Remodeling or Performance in Adolescent Male Athletes

Background: Angiotensin Converting Enzyme (ACE) Insertion/Deletion (I/D) polymorphisms have been extensively studied to determine their contributions to athletic power, strength and endurance. The impact of these polymorphisms on cardiac adaptations to exercise (Athlete’s Heart) is less well studied, especially in the pediatric population. We aimed to determine the impact of ACE-I/D polymorphisms on cardiac anatomy and exercise performance before and after high-intensity athletic conditioning. Methods: We completed a single center prospective cohort study of adolescent male basketball players from 2023-2024. Participants underwent echocardiography, cardiopulmonary exercise testing (CPET) and ACE-I/D polymorphism typing (I/I, I/D or D/D) before and after a structured exercise conditioning regimen (school basketball season). Metrics of athletic cardiac change via echocardiography and exercise performance via CPET were compared and then correlated with ACE-I/D genetic phenotype. Univariable and multivariable regression analyses were used to compare demographic, echocardiographic, and exercise parameters before and after conditioning. Wilcoxon rank-sum testing was then used to compare these parameters against different ACE polymorphisms. Results: The cohort consisted of 40 participants (median age: 15.7 (14.3-16.8 years), 47% African American) with 36 completing final assessment. Skeletal muscle mass (105 to 107 % predicted, p=0.02) and hand grip strength (37 to 44 lbs, p=0.0007) changed from baseline to final. By echocardiography, LV end-systolic volume (59 to 62 mL/m 2 , p=0.004) and aortic root dimension (2.08 to 2.1 cm, p=0.04) increased. By CPET only peak heart rate (177 to 180 bpm, p=0.001) and peak RER (1.24 to 1.28, p=0.002) improved following conditioning. When comparing ACE-I/D phenotypes, mitral valve E/A ratio and BMI were significantly correlated with ACE phenotypes, with ACE-I/I showing higher mitral E/A ratio, VO 2 at anaerobic threshold and ACE-I/D showing higher BMI. Conclusion: Post-conditioning improvements including skeletal muscle mass, LV ESV and aortic root size were noted. Markers of physical performance including peak VO 2 did not improve following the basketball season. ACE polymorphisms did not significantly predict cardiac anatomic changes or peak exercise performance in response to training however it may inform endurance exercise capacity and at the anerobic threshold through improvements in diastolic function.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4369410
Primary Topic
Genetics and Physical Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4369410: Angiotensin Converting Enzyme Gene Polymorphisms (ACE-I/D) Do Not Predict Exercise-Induced Cardiac Remodeling or Performance in Adolescent Male Athletes

Garick D. Hill, Paul Gubanich, Kristian C. Becker, William D. Hardie et al.
Circulation
Genetics and Physical Performance
article

Abstract 4369410: Angiotensin Converting Enzyme Gene Polymorphisms (ACE-I/D) Do Not Predict Exercise-Induced Cardiac Remodeling or Performance in Adolescent Male Athletes

Garick D. Hill, Paul Gubanich, Kristian C. Becker, William D. Hardie, Kelsey Logan, Adam W. Powell, Lisa Martin
article en

Abstract

Background: Angiotensin Converting Enzyme (ACE) Insertion/Deletion (I/D) polymorphisms have been extensively studied to determine their contributions to athletic power, strength and endurance. The impact of these polymorphisms on cardiac adaptations to exercise (Athlete’s Heart) is less well studied, especially in the pediatric population. We aimed to determine the impact of ACE-I/D polymorphisms on cardiac anatomy and exercise performance before and after high-intensity athletic conditioning. Methods: We completed a single center prospective cohort study of adolescent male basketball players from 2023-2024. Participants underwent echocardiography, cardiopulmonary exercise testing (CPET) and ACE-I/D polymorphism typing (I/I, I/D or D/D) before and after a structured exercise conditioning regimen (school basketball season). Metrics of athletic cardiac change via echocardiography and exercise performance via CPET were compared and then correlated with ACE-I/D genetic phenotype. Univariable and multivariable regression analyses were used to compare demographic, echocardiographic, and exercise parameters before and after conditioning. Wilcoxon rank-sum testing was then used to compare these parameters against different ACE polymorphisms. Results: The cohort consisted of 40 participants (median age: 15.7 (14.3-16.8 years), 47% African American) with 36 completing final assessment. Skeletal muscle mass (105 to 107 % predicted, p=0.02) and hand grip strength (37 to 44 lbs, p=0.0007) changed from baseline to final. By echocardiography, LV end-systolic volume (59 to 62 mL/m 2 , p=0.004) and aortic root dimension (2.08 to 2.1 cm, p=0.04) increased. By CPET only peak heart rate (177 to 180 bpm, p=0.001) and peak RER (1.24 to 1.28, p=0.002) improved following conditioning. When comparing ACE-I/D phenotypes, mitral valve E/A ratio and BMI were significantly correlated with ACE phenotypes, with ACE-I/I showing higher mitral E/A ratio, VO 2 at anaerobic threshold and ACE-I/D showing higher BMI. Conclusion: Post-conditioning improvements including skeletal muscle mass, LV ESV and aortic root size were noted. Markers of physical performance including peak VO 2 did not improve following the basketball season. ACE polymorphisms did not significantly predict cardiac anatomic changes or peak exercise performance in response to training however it may inform endurance exercise capacity and at the anerobic threshold through improvements in diastolic function.

CirculationVol. 152(Suppl_3)
Cincinnati Children's Hospital Medical Center (US)
Openalex Percentile: Top 66%
Genetics and Physical Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.