Development of a fully automated latex-enhanced immunoturbidimetric method for quantitative serum Lp(a) measurement

Yanyan Liu1, Meijiao Li1, Hao Zhang1

  • 1School of Life Science and Technology, Changchun University of Science and Technology, Changchun, 130013, Jilin, P.R. China.

Biotechnology Letters
|March 5, 2025
PubMed

Insights

A new automated method accurately measures Lipoprotein (a) [Lp(a)] in serum, improving cardiovascular disease risk assessment. This reliable assay offers a standardized approach for clinical diagnostics.

Area of Science:

  • Clinical Chemistry
  • Immunology
  • Cardiovascular Diagnostics

Background:

  • Lipoprotein (a) [Lp(a)] is a key biomarker for cardiovascular disease (CVD) risk.
  • Elevated Lp(a) levels correlate with increased CVD progression and mortality.
  • Current diagnostic uncertainties stem from a lack of standardized Lp(a) measurement methods.

Purpose of the Study:

  • To develop and validate a fully automated quantitative method for serum Lp(a) measurement.
  • To establish a reliable and accurate assay for routine clinical use.
  • To address diagnostic uncertainties associated with Lp(a) quantification.

Main Methods:

  • Development of a latex-enhanced particle immunoturbidimetry assay for serum Lp(a).
  • Utilized carboxylated latex particles coated with anti-Lp(a) antibodies for detection.
  • Automated measurement performed on the Hitachi 7100 biochemical analyzer.

Main Results:

  • The assay demonstrated high precision with intra-batch CV% of 1.10% and inter-batch CV% of 1.79%.
  • Achieved a low detection limit of 7 mg/L and excellent linearity (R²=0.9946) from 0-1500 mg/L.
  • Showed minimal interference and strong correlation (R²=0.9972) with a commercial Lp(a) assay.

Conclusions:

  • The developed latex-enhanced immunoturbidimetry method provides rapid, accurate, and automated serum Lp(a) quantification.
  • This assay is suitable for routine clinical testing, enhancing cardiovascular risk assessment.
  • The method offers a standardized approach to Lp(a) measurement, reducing diagnostic uncertainty.
Abstract

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