A flow cytometric method for characterization of circulating cell-derived microparticles in plasma

Morten Hjuler Nielsen1, Henning Beck-Nielsen2, Morten Nørgaard Andersen3

  • 1Danish PhD School of Molecular Metabolism, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.

Abstract

Insights

This study developed a new flow cytometry method to detect small circulating microparticles (MPs) in healthy individuals. The new method, using the BD FACSAria™ III, improved detection sensitivity and identified various MP subpopulations, with higher levels of phosphatidylserine-exposing MPs found in men.

Area of Science:

  • Biomedical Engineering
  • Flow Cytometry
  • Hematology

Background:

  • Circulating microparticles (MPs) are crucial biomarkers, but many are smaller than the detection limit of standard flow cytometers.
  • Previous flow cytometry instruments had limited sensitivity for analyzing the majority of microparticles.

Purpose of the Study:

  • To establish a novel flow cytometry method for analyzing microparticle (MP) subpopulations.
  • To leverage a new generation BD FACSAria™ III digital flow cytometer for enhanced MP detection.

Main Methods:

  • Plasma samples from 24 healthy individuals were analyzed for MP subpopulations.
  • MPs were identified by size (<1.0-µm), Lactadherin-FITC labeling, and cell-specific markers.
  • The sensitivity and reproducibility of the BD FACSAria™ III were evaluated against a previous-generation instrument.

Main Results:

  • The BD FACSAria™ III demonstrated superior sensitivity and a wider MP detection range compared to the FC500.
  • Microparticle subpopulations from platelets, monocytes, erythrocytes, and endothelial cells were identified and quantified.
  • Phosphatidylserine (PS)-exposing MPs constituted 15.1±5.5% of total MPs, with significantly higher levels observed in men.

Conclusions:

  • A robust method for measuring microparticles (MPs) above the detection limit of advanced flow cytometers was successfully established.
  • The method allows for the characterization of diverse MP subpopulations in a healthy population.
  • Findings indicate potential sex-based differences in PS-exposing MP levels.