Analytical validation of a direct lipoprotein(a)-cholesterol assay

Accurate measurement of lipoprotein(a)-cholesterol [Lp(a)-C] may be useful in interpreting the traditional lipid panel, particularly in patients with high Lp(a). We developed and analytically validated a direct immunocapture ELISA in a Clinical Laboratory Improvement Amendments-certified laboratory for quantifying Lp(a)-C in human plasma using an apolipoprotein(a)-specific monoclonal antibody (LPA4) coupled to magnetic beads. The linearity of the assay was found to be excellent (R<sup>2</sup> = 1.00), with % bias ranging from 0.3% (upper limit of quantification) to 16.1% (lower limit of quantification) and coefficient of variation ranging from 3.4% to 16.2%. The analytical measuring range was 0.78 mg/dl to 40.0 mg/dl, and the limit of blank and limit of detection were 0.02 mg/dl and 0.05 mg/dl, respectively. The intra- and interassay coefficients of variation, determined on four quality control samples, ranged from 4.9% to 7.6% and from 12.6% to 15.0%, respectively. No interference was observed from hemolysis (up to 0.71 g/dl), bilirubin (up to 10.1 mg/dl), or triglycerides (up to 1,082 mg/dl. Lp(a)-C was stable for at least 3 months at -70 °C and through two freeze-thaw cycles. Direct Lp(a)-C correlated strongly with Lp(a) molar concentration (r = 0.93, P < 0.001). This study reports the results of the first analytical validation of a direct method to quantify Lp(a)-C, enabling standardized quantification of Lp(a)-C suitable for research studies and clinical trials; additional clinical outcome validation will be required prior to routine clinical implementation.

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Publication Details

Journal
Journal of Lipid Research
Published
2026-02-24
DOI
https://doi.org/10.1016/j.jlr.2026.101008
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00

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article

Analytical validation of a direct lipoprotein(a)-cholesterol assay

Lizhu Lin, Santica M. Marcovina, Spenser Smith, Sotirios Tsimikas
Journal of Lipid Research
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Analytical validation of a direct lipoprotein(a)-cholesterol assay

Lizhu Lin, Santica M. Marcovina, Spenser Smith, Sotirios Tsimikas
article en

Abstract

Accurate measurement of lipoprotein(a)-cholesterol [Lp(a)-C] may be useful in interpreting the traditional lipid panel, particularly in patients with high Lp(a). We developed and analytically validated a direct immunocapture ELISA in a Clinical Laboratory Improvement Amendments-certified laboratory for quantifying Lp(a)-C in human plasma using an apolipoprotein(a)-specific monoclonal antibody (LPA4) coupled to magnetic beads. The linearity of the assay was found to be excellent (R<sup>2</sup> = 1.00), with % bias ranging from 0.3% (upper limit of quantification) to 16.1% (lower limit of quantification) and coefficient of variation ranging from 3.4% to 16.2%. The analytical measuring range was 0.78 mg/dl to 40.0 mg/dl, and the limit of blank and limit of detection were 0.02 mg/dl and 0.05 mg/dl, respectively. The intra- and interassay coefficients of variation, determined on four quality control samples, ranged from 4.9% to 7.6% and from 12.6% to 15.0%, respectively. No interference was observed from hemolysis (up to 0.71 g/dl), bilirubin (up to 10.1 mg/dl), or triglycerides (up to 1,082 mg/dl. Lp(a)-C was stable for at least 3 months at -70 °C and through two freeze-thaw cycles. Direct Lp(a)-C correlated strongly with Lp(a) molar concentration (r = 0.93, P < 0.001). This study reports the results of the first analytical validation of a direct method to quantify Lp(a)-C, enabling standardized quantification of Lp(a)-C suitable for research studies and clinical trials; additional clinical outcome validation will be required prior to routine clinical implementation.

Journal of Lipid ResearchVol. 67(3)
Medpace (United States) (US), UC San Diego Health System (US), University of California San Diego (US)
Medpace, National Heart, Lung, and Blood Institute
Zero hunger
Openalex Percentile: Top 47%
Diabetes, Cardiovascular Risks, and Lipoproteins
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