Unlike most biomarkers, Lp(a) is far less forgiving on selectivity and metrological shortcomings

Abstract Despite being an established causal risk factor for ASCVD, lipoprotein(a) (Lp(a)) remains one of the most misunderstood metrics in cardiovascular risk assessment and clinical practice. Standardization of Lp(a) measurement remains challenging due to the marked heterogeneity in apolipoprotein(a) isoform size and co-existence of genetic variants, which affect immunoassay calibration and inter-method comparability, potentially leading to misclassification of cardiovascular risk and impacting clinical decision-making. Stakeholders concerned about accuracy of Lp(a) testing have spent decades trying to solve what was considered a calibration problem for Lp(a). We currently know there is also a measurand heterogeneity problem as revealed by Lp(a) assays with different selectivity’s. Consequently, Lp(a) harmonization ultimately requires a clearly defined measurand and supports the transition from mass-based to molar standardization.

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Publication Details

Journal
Clinical Chemistry and Laboratory Medicine (CCLM)
Published
2026-10-27
DOI
https://doi.org/10.1515/cclm-2026-1787
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
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article

Unlike most biomarkers, Lp(a) is far less forgiving on selectivity and metrological shortcomings

Christa M. Cobbaert
3 links
Clinical Chemistry and Laboratory Medicine (CCLM)
Lipoproteins and Cardiovascular Health
article

Unlike most biomarkers, Lp(a) is far less forgiving on selectivity and metrological shortcomings

Christa M. Cobbaert
article en

Abstract

Abstract Despite being an established causal risk factor for ASCVD, lipoprotein(a) (Lp(a)) remains one of the most misunderstood metrics in cardiovascular risk assessment and clinical practice. Standardization of Lp(a) measurement remains challenging due to the marked heterogeneity in apolipoprotein(a) isoform size and co-existence of genetic variants, which affect immunoassay calibration and inter-method comparability, potentially leading to misclassification of cardiovascular risk and impacting clinical decision-making. Stakeholders concerned about accuracy of Lp(a) testing have spent decades trying to solve what was considered a calibration problem for Lp(a). We currently know there is also a measurand heterogeneity problem as revealed by Lp(a) assays with different selectivity’s. Consequently, Lp(a) harmonization ultimately requires a clearly defined measurand and supports the transition from mass-based to molar standardization.

Clinical Chemistry and Laboratory Medicine (CCLM)
Leiden University Medical Center (NL)
Good health and well-being
Openalex Percentile: Top 10%
Lipoproteins and Cardiovascular Health
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