Abstract 4366225: Proteomic Signatures of Lipoprotein (a) Particles Reveal Novel Associations with Plasma Levels and KIV-2 Copy Number in an Elderly Multiethnic Cohort

S Sergio Mosquera-Restrepo (Pontificia Universidad Católica Madre y Maestra, Santiago de los Caballero, Dominican Republic) Y Yihao Li (Department of Medical Oncology, Dana-Farber Cancer Institute) B Badri Vardarajan N Nelsa Matienzo (Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States) D dolly reyes (Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States) S Sasha Singh (Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States) M Masanori Aikawa (Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States) G Gissette Reyes-Soffer (Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States)

Abstract

Background: High lipoprotein(a) [Lp(a)] is a causal risk factor for Atherosclerotic Cardiovascular Disease, yet the mechanisms driving this risk remain unclear. Lp(a) levels are largely determined by variation in the LPA gene, but less is known about additional protein components and their relationship to genetic markers such as the kringle IV type 2 copy number (KIV-2 CN). Hypothesis: We hypothesized that the proteomic profile of Lp(a) particles would reveal novel proteins and pathways associated with Lp(a) levels providing mechanistic insight into Lp(a)-mediated risk. Methods: We conducted proteomic profiling of Lp(a) particles in 35 elderly participants (mean age 81 years; 71% female; 63% African American, 37% Caucasian) from the Washington Heights-Inwood Community Aging Project. Plasma Lp(a) was quantified using an isoform-independent ELISA, and KIV-2 CN was estimated using a published calling platform. Lp(a) particles were isolated by immunoprecipitation, and proteomic analysis was performed using liquid chromatography-tandem mass spectrometry. Protein associations with Lp(a) levels and KIV-2 CN were assessed using linear regression, adjusting for multiple testing with the Benjamini–Hochberg false discovery rate (FDR) method. Protein interaction networks were analyzed using the STRING database. Results: The median Lp(a) level was 37.1 nmol/L (interquartile range 13.1–86.2), and the mean KIV-2 CN was 20. In addition to 35 previously reported proteins, we identified two novel proteins: complement C1s (FDR-adjusted p= 2e-6) and apolipoprotein D (FDR-adjusted p=0.0148). Furthermore, several proteins, showed significant associations with KIV-2 CN, highlighting potential genotype-related effects, Table 1. STRING analysis revealed enrichment of immune and lipid metabolism pathways, including complement activation and apolipoprotein binding, Figure 1. Conclusion: The proteome of isolated Lp(a) particles reveals insights into pathways that link Lp(a) to cardiovascular and other disease processes.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (8)

S

Sergio Mosquera-Restrepo

Pontificia Universidad Católica Madre y Maestra, Santiago de los Caballero, Dominican Republic

Y

Yihao Li

Department of Medical Oncology, Dana-Farber Cancer Institute

B

Badri Vardarajan

N

Nelsa Matienzo

Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States

D

dolly reyes

Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States

S

Sasha Singh

Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States

M

Masanori Aikawa

Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States

G

Gissette Reyes-Soffer

Columbia University Vagelos College of Physicians and Surgeons, New York, New York, United States