Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • ASCI Milestone Awards
    • Video Abstracts
    • Conversations with Giants in Medicine
  • Reviews
    • View all reviews ...
    • The cGAS-STING pathway: DNA sensing in health and disease (Jun 2026)
    • Neurodegeneration (Mar 2026)
    • Clinical innovation and scientific progress in GLP-1 medicine (Nov 2025)
    • Pancreatic Cancer (Jul 2025)
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • ASCI Milestone Awards
  • Video Abstracts
  • Conversations with Giants in Medicine
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
Lipoprotein(a)-associated proteomic signature predicts cardiovascular disease in young adults
Sascha N. Goonewardena, Shanshan Yao, Tomasz Jurga, Lanyue Zhang, Donald Lloyd-Jones, Dilna Damodaran, Bharat Thyagarajan, David R. Jacobs Jr., Supriya Shore, Eric J. Brandt, Clary Clish, Kahraman Tanriverdi, Jane E. Freedman, Chirag J. Patel, Mark A. Sarzynski, Brian T. Emmer, John T. Wilkins, Ron Do, Vera Bittner, Ravi V. Shah, Marios K. Georgakis, Robert S. Rosenson, Venkatesh L. Murthy
Sascha N. Goonewardena, Shanshan Yao, Tomasz Jurga, Lanyue Zhang, Donald Lloyd-Jones, Dilna Damodaran, Bharat Thyagarajan, David R. Jacobs Jr., Supriya Shore, Eric J. Brandt, Clary Clish, Kahraman Tanriverdi, Jane E. Freedman, Chirag J. Patel, Mark A. Sarzynski, Brian T. Emmer, John T. Wilkins, Ron Do, Vera Bittner, Ravi V. Shah, Marios K. Georgakis, Robert S. Rosenson, Venkatesh L. Murthy
View: Text | PDF
Clinical Research and Public Health Cardiology Inflammation

Lipoprotein(a)-associated proteomic signature predicts cardiovascular disease in young adults

  • Text
  • PDF
Abstract

BACKGROUND Elevated lipoprotein(a) [Lp(a)] is associated with a higher risk of atherosclerotic cardiovascular disease (ASCVD). Although Lp(a) is a genetically determined risk factor, the plasma proteomic features associated with Lp(a) and whether they provide information about ASCVD risk beyond Lp(a) concentration are not well characterized.OBJECTIVE We sought to identify plasma proteomic features associated with Lp(a) concentration and to evaluate whether an Lp(a)-associated proteomic signature is associated with ASCVD phenotypes in young, healthy adults.METHODS In the Coronary Artery Risk Development in Young Adults (CARDIA) study, we measured year 7 Lp(a) and 184 cardiovascular proteins using the Olink proximity extension assay in 3,920 participants without prior coronary heart disease. Lp(a)-associated proteomic signatures were derived using least absolute shrinkage and selection operator (LASSO) regression in a split-sample design and tested for association with coronary artery calcification (CAC), incident coronary heart disease (CHD), and high-sensitivity C-reactive protein (hs-CRP) over 27 years of follow-up. External replication was performed in the UK Biobank (n = 37,996).RESULTS Lp(a) was associated with CAC (OR 1.23 [1.13–1.34]; P < 0.0001) and incident CHD (HR 1.23 [1.07–1.41]; P = 0.004). Lp(a) was correlated with proteomic features reflecting immune activation, coagulation, and vascular dysfunction. A quantitative Lp(a)-associated proteomics score was independently associated with incident CAC (standardized β = 0.40, P < 0.0001) and hs-CRP (standardized β = 0.11, P = 0.00015) after adjustment for Lp(a) concentration. In the UK Biobank, a recalibrated Lp(a)-associated proteomics score was associated with CRP, incident CHD, and all-cause mortality.CONCLUSIONS In young adults, Lp(a) was associated with distinct proteomic features that independently predicted ASCVD phenotypes beyond Lp(a) concentration, generating hypotheses regarding biological pathways linked to Lp(a)-related cardiovascular risk.FUNDING VA MERIT grant (1I01CX002560); Taubman Medical Research Institute (Wolfe Scholarship); National Institute of Diabetes, Digestive, and Kidney Diseases (NIDDK), NIH (U01DK123013-03); National Institute on Aging (NIA), NIH (R01AG059729); National Heart, Lung and Blood Institute (NHLBI), NIH (R01HL136685); American Heart Association Strategically Focused Research Network grant in Cardiometabolic Disease (funded proteomics in CARDIA); NIH (K23MD017253 and R01HL167733); Blue Cross Blue Shield of Michigan Foundation; A. Alfred Taubman Medical Research Institute; National Institute of Nursing Research (R01NR019628); National Institute of General Medical Sciences (NIGMS), NIH (R35-GM124836). The CARDIA study was conducted and supported by the NHLBI in collaboration with the University of Alabama at Birmingham (75N92023D00002 and 75N92023D00005), Northwestern University (75N92023D00004), University of Minnesota (75N92023D00006), and the Kaiser Foundation Research Institute (75N92023D00003).ROLE OF FUNDING SOURCE The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Authors

Sascha N. Goonewardena, Shanshan Yao, Tomasz Jurga, Lanyue Zhang, Donald Lloyd-Jones, Dilna Damodaran, Bharat Thyagarajan, David R. Jacobs Jr., Supriya Shore, Eric J. Brandt, Clary Clish, Kahraman Tanriverdi, Jane E. Freedman, Chirag J. Patel, Mark A. Sarzynski, Brian T. Emmer, John T. Wilkins, Ron Do, Vera Bittner, Ravi V. Shah, Marios K. Georgakis, Robert S. Rosenson, Venkatesh L. Murthy

×

Figure 1

Lp(a) levels in young, healthy adults are associated with inflammatory and atherogenic phenotypes as well as CHD.

Options: View larger image (or click on image) Download as PowerPoint
Lp(a) levels in young, healthy adults are associated with inflammatory a...
Forest plot of standardized regression coefficients from models relating Y7 Lp(a) (as a continuous variable) to CAC (binary and natural log-transformed + 1), hs-CRP, and CHD endpoints (outcome variable). Logistic regression was used for binary outcomes (CAC presence), linear regression for continuous outcomes (hs-CRP, ln[CAC+1]), and Cox proportional hazards regression for time-to-event outcomes (CHD). Models were adjusted for age, sex, and race.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts