Abstract 4366069: Neighborhood Socioeconomic Deprivation Relates to Epigenetic Modification of the <i>LPA</i> gene and Potential Increase in Circulating Plasma Lp(a) Levels in African Americans: A Pilot Study

Background: Lp(a) has gained increased attention as a significant risk factor for cardiovascular disease (CVD), and its plasma levels are up to 3-fold higher in African Americans (AAs) likely contributing to the heightened CVD risk. While it is widely acknowledged that Lp(a) levels are largely determined by genetics, the potential impact of epigenetic alterations and a connection to adverse social determinants of health (SDoH) is unknown. Adverse SDoH are known to accelerate CVD risk, partially through epigenetic changes of the genome. In this pilot study, we aim to investigate a potential connection between socioeconomic status (SES) measures of SDoH, methylation levels within the Lp(a) gene, and circulating plasma Lp(a) levels in AAs. Methods: Sixty AAs (93.3% female, mean age: 61 years, mean BMI 33.7kg/m^2) at moderate CVD risk and living in under-resourced neighborhoods within the Washington DC area, were recruited to the NIH. Baseline sociodemographics were collected, including individual-level SES and census tract-based neighborhood socioeconomic deprivation (NSD). Methylating patterns determined by DNA methylation analysis on the Lp(a) gene ( LPA ) were detected utilizing the Illumina technique. Lp(a) plasma levels were measured using ELISA. We conducted a multivariable regression analysis with adjustment for ASCVD 10-year risk score and BMI to explore associations between NSD, methylation levels on LPA , and Lp(a) plasma levels. Results: We examined 20 LPA methylation sites. Four sites were significantly associated with circulating Lp(a) levels. None of these four methylation sites was significantly associated with SES. However, two methylation sites associated negatively with NSD (cg17028067 b= -0.27, p=0.04; cg22888279 b= -0.38, p=0.003). Neither SES nor NSD were directly associated with Lp(a) plasma levels. In a final step, we determined if either cg17028067 or cg22888279 would associate with 18 FDG-PET/CT-measured amygdala activity, a pathophysiological measure of chronic stress. Amygdala activity was negatively associated with LPA -cg22888279 (b= -0.28, p = 0.03) (Figure). Conclusion: Our data highlight the importance of chronic stress-related epigenetic modification of the LPA gene, especially in the cg22888279 locus, to increasing plasma Lp(a) levels, potentially further accelerating CVD development and progression in AAs.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4366069
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4366069: Neighborhood Socioeconomic Deprivation Relates to Epigenetic Modification of the LPA gene and Potential Increase in Circulating Plasma Lp(a) Levels in African Americans: A Pilot Study

Marcus R. Andrews, Alina P.S. Pang, Yvonne Baumer, Tiffany M. Powell‐Wiley et al.
Circulation
Lipoproteins and Cardiovascular Health
article

Abstract 4366069: Neighborhood Socioeconomic Deprivation Relates to Epigenetic Modification of the LPA gene and Potential Increase in Circulating Plasma Lp(a) Levels in African Americans: A Pilot Study

Marcus R. Andrews, Alina P.S. Pang, Yvonne Baumer, Tiffany M. Powell‐Wiley, Billy S. Collins, Laurel Mendelsohn, Valérie Mitchell, Abhinav Saurabh, Michael J. Corley, Alan T. Remaley
article en

Abstract

Background: Lp(a) has gained increased attention as a significant risk factor for cardiovascular disease (CVD), and its plasma levels are up to 3-fold higher in African Americans (AAs) likely contributing to the heightened CVD risk. While it is widely acknowledged that Lp(a) levels are largely determined by genetics, the potential impact of epigenetic alterations and a connection to adverse social determinants of health (SDoH) is unknown. Adverse SDoH are known to accelerate CVD risk, partially through epigenetic changes of the genome. In this pilot study, we aim to investigate a potential connection between socioeconomic status (SES) measures of SDoH, methylation levels within the Lp(a) gene, and circulating plasma Lp(a) levels in AAs. Methods: Sixty AAs (93.3% female, mean age: 61 years, mean BMI 33.7kg/m^2) at moderate CVD risk and living in under-resourced neighborhoods within the Washington DC area, were recruited to the NIH. Baseline sociodemographics were collected, including individual-level SES and census tract-based neighborhood socioeconomic deprivation (NSD). Methylating patterns determined by DNA methylation analysis on the Lp(a) gene ( LPA ) were detected utilizing the Illumina technique. Lp(a) plasma levels were measured using ELISA. We conducted a multivariable regression analysis with adjustment for ASCVD 10-year risk score and BMI to explore associations between NSD, methylation levels on LPA , and Lp(a) plasma levels. Results: We examined 20 LPA methylation sites. Four sites were significantly associated with circulating Lp(a) levels. None of these four methylation sites was significantly associated with SES. However, two methylation sites associated negatively with NSD (cg17028067 b= -0.27, p=0.04; cg22888279 b= -0.38, p=0.003). Neither SES nor NSD were directly associated with Lp(a) plasma levels. In a final step, we determined if either cg17028067 or cg22888279 would associate with 18 FDG-PET/CT-measured amygdala activity, a pathophysiological measure of chronic stress. Amygdala activity was negatively associated with LPA -cg22888279 (b= -0.28, p = 0.03) (Figure). Conclusion: Our data highlight the importance of chronic stress-related epigenetic modification of the LPA gene, especially in the cg22888279 locus, to increasing plasma Lp(a) levels, potentially further accelerating CVD development and progression in AAs.

CirculationVol. 152(Suppl_3)
National Institutes of Health (US), Cornell University (US), United States Public Health Service (US), Weill Cornell Medicine (US)
Openalex Percentile: Top 50%
Lipoproteins and Cardiovascular Health
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.