Abstract 4139533: Epigenetic Factors Predict Incident Heart Failure with Preserved Ejection Fraction

Background: Heart failure (HF) is a life-threatening aging-related syndrome with growing impact on the global population. It is estimated that >8 million adults in the US will be living with HF by 2030. HF with preserved EF (HFpEF), defined by an ejection fraction ≥50%, frequently has delayed diagnosis and limited treatment options. HFpEF progression can be affected by both gene and environment via different molecular pathways, which can be assessed by epigenetic factors measured by DNA methylation (DNAm). Methods: The DNAm levels of peripheral blood cells at enrollment into the Million Veteran Program (MVP) were profiled using the Illumina’s EPIC array. After excluding samples with low quality or discordant sex, and merging with the phenotypic data, the multi-ancestry (~70%, 24%, 5.4%, and 0.6% are European, African, Hispanic, and Asian Americans, respectively) epigenetic association study in the MVP included 1658 with incident HFpEF and 33926 controls without any record of HF. Incident HFpEF was defined as the presence of a diagnostic code for HF after enrollment into MVP and a measured left ventricle ejection fraction ≥50% within 90 days of first appearance of HF diagnosis code. For each DNAm site, the association with HFpEF was examined in a multiple regression model adjusted for age, sex, race/ethnicity, calculated cell type proportions, and potential batch effects. Epigenome-wide significance (EWS) threshold (p<6.6×10 -8 ) corrected for multiple testing was used to identify DNAm sites associated with incident HFpEF. Results: We identified 106 EWS DNAm sites associated with incident HFpEF across 22 chromosomes, including the most significant DNAm in chromosomes 9 ( AQP3 , p=2.50×10 -27 ), 17 ( SOCS3 , p=3.39×10 -26 ), 19 ( SBNO2 , p=2.64×10 -25 ), 6 ( FGD2 , p =1.49×10 -24 ), and 18 ( NDUFV2 , p=1.57×10 -24 ). Most of the identified DNAm (92 out of 106, 86.8%) showed negative association with incident HFpEF. After additional adjustment for body mass index and diabetes status, the associations of 54 and 47 DNAm sites remained EWS with incident HFpEF. DNAm age (years) predicts incident HFpEF (OR 1.045, 95% CI 1.039-1.052, p=6.52×10 -14 ) independently from chronological age. Conclusion: The significant epigenetic associations with incident HFpEF suggest the crucial role of epigenetic regulation in the pathogenesis of HFpEF. These findings may lead to novel targets for treatment and prevention which could eventually reduce the burden of HFpEF among the growing aging population.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4139533
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4139533: Epigenetic Factors Predict Incident Heart Failure with Preserved Ejection Fraction

Peter W.F. Wilson, J. Michael Gaziano, Qin Hui, Gregorio V. Linchangco et al.
Circulation
Cardiovascular Function and Risk Factors
article

Abstract 4139533: Epigenetic Factors Predict Incident Heart Failure with Preserved Ejection Fraction

Peter W.F. Wilson, J. Michael Gaziano, Qin Hui, Gregorio V. Linchangco, Yan V. Sun, Jacob Joseph, Lawrence S. Phillips, Maryam Rahafrooz
article en

Abstract

Background: Heart failure (HF) is a life-threatening aging-related syndrome with growing impact on the global population. It is estimated that >8 million adults in the US will be living with HF by 2030. HF with preserved EF (HFpEF), defined by an ejection fraction ≥50%, frequently has delayed diagnosis and limited treatment options. HFpEF progression can be affected by both gene and environment via different molecular pathways, which can be assessed by epigenetic factors measured by DNA methylation (DNAm). Methods: The DNAm levels of peripheral blood cells at enrollment into the Million Veteran Program (MVP) were profiled using the Illumina’s EPIC array. After excluding samples with low quality or discordant sex, and merging with the phenotypic data, the multi-ancestry (~70%, 24%, 5.4%, and 0.6% are European, African, Hispanic, and Asian Americans, respectively) epigenetic association study in the MVP included 1658 with incident HFpEF and 33926 controls without any record of HF. Incident HFpEF was defined as the presence of a diagnostic code for HF after enrollment into MVP and a measured left ventricle ejection fraction ≥50% within 90 days of first appearance of HF diagnosis code. For each DNAm site, the association with HFpEF was examined in a multiple regression model adjusted for age, sex, race/ethnicity, calculated cell type proportions, and potential batch effects. Epigenome-wide significance (EWS) threshold (p<6.6×10 -8 ) corrected for multiple testing was used to identify DNAm sites associated with incident HFpEF. Results: We identified 106 EWS DNAm sites associated with incident HFpEF across 22 chromosomes, including the most significant DNAm in chromosomes 9 ( AQP3 , p=2.50×10 -27 ), 17 ( SOCS3 , p=3.39×10 -26 ), 19 ( SBNO2 , p=2.64×10 -25 ), 6 ( FGD2 , p =1.49×10 -24 ), and 18 ( NDUFV2 , p=1.57×10 -24 ). Most of the identified DNAm (92 out of 106, 86.8%) showed negative association with incident HFpEF. After additional adjustment for body mass index and diabetes status, the associations of 54 and 47 DNAm sites remained EWS with incident HFpEF. DNAm age (years) predicts incident HFpEF (OR 1.045, 95% CI 1.039-1.052, p=6.52×10 -14 ) independently from chronological age. Conclusion: The significant epigenetic associations with incident HFpEF suggest the crucial role of epigenetic regulation in the pathogenesis of HFpEF. These findings may lead to novel targets for treatment and prevention which could eventually reduce the burden of HFpEF among the growing aging population.

CirculationVol. 150(Suppl_1)
Brigham and Women's Hospital (US), Emory University (US), Providence VA Medical Center (US), Atlanta VA Medical Center (US)
Good health and well-being
Openalex Percentile: Top 62%
Cardiovascular Function and Risk Factors
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.