Lipoprotein(a)-Associated Proteomic Signature Predicts Cardiovascular Disease in Young Adults.
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| 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 LASSO regression in a split-sample design and tested for association with coronary artery calcification (CAC), incident CHD, and 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) correlated with proteomic features reflecting immune activation, coagulation, and vascular dysfunction. A quantitative Lp(a) proteomic score was independently associated with incident CAC (standardized beta = 0.40, p<0.0001) and hs-CRP (standardized beta = 0.11, p = 0.00015) after adjustment for Lp(a) concentration. In the UK Biobank, a recalibrated Lp(a)-associated proteomic score was associated with CRP, incident CHD, and all-cause mortality.CONCLUSIONS: In young adults, Lp(a) is associated with distinct proteomic features that independently predict ASCVD phenotypes beyond Lp(a) concentration, generating hypotheses regarding biological pathways linked to Lp(a)-related cardiovascular risk. |
| Year of Publication | 2026
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| Journal | The Journal of clinical investigation
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| Date Published | 04/2026
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| ISSN | 1558-8238
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| DOI | 10.1172/JCI204287
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| PubMed ID | 42012308
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