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Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein

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Lipoprotein (a) measurements for clinical application.

Santica M Marcovina¹, John J Albers²

¹Northwest Lipid Metabolism and Diabetes Research Laboratories, Division of Metabolism, Endocrinology, and Nutrition, Department of Medicine, University of Washington, Seattle, WA smm@uw.edu.

Journal of Lipid Research

|December 6, 2015

Summary

Measuring lipoprotein (a) [Lp(a)] is challenging due to the variable size of its apo(a) protein component. This size heterogeneity causes inaccurate results and hinders standardization for assessing cardiovascular disease risk.

Keywords:

analytical methods apolipoprotein (a)assay standardization cardiovascular disease

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Isolation and Analysis of Plasma Lipoproteins by Ultracentrifugation

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Published on: January 28, 2021

Area of Science:

Clinical Chemistry
Cardiovascular Diagnostics
Protein Biochemistry

Background:

Lipoprotein (a) [Lp(a)] is a significant risk factor for cardiovascular disease.
The apo(a) protein component of Lp(a) exhibits substantial size heterogeneity.
This heterogeneity complicates the development of accurate immunoassays for Lp(a) measurement.

Purpose of the Study:

To critically evaluate challenges in measuring Lp(a) concentrations.
To assess the impact of measurement variability on clinical interpretation.
To identify obstacles hindering the standardization of Lp(a) assays.

Main Methods:

Review of existing literature on Lp(a) measurement techniques.
Analysis of factors contributing to apo(a) size-dependent assay inaccuracy.
Evaluation of current validation practices and reporting of Lp(a) results.

Main Results:

Apo(a) size variability between and within individuals leads to antigenic determinant differences.
This variability causes size-dependent inaccuracies in current Lp(a) immunoassays.
Lack of rigorous validation and common reporting units impede result harmonization.

Conclusions:

Standardization of Lp(a) measurements is essential for accurate clinical risk assessment.
Overcoming apo(a) size heterogeneity is crucial for developing reliable Lp(a) assays.
Harmonized Lp(a) results are needed to establish common clinical cut points for intervention.