Pre-analytical and analytical variables affecting the measurement of plasma-derived microparticle tissue factor

R D Lee1, D A Barcel, J C Williams

  • 1Division of Hematology/Oncology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Thrombosis Research
|July 9, 2011
PubMed
Abstract

Insights

Tissue factor (TF) positive microparticles (MPs) are key in thrombosis risk. Optimizing isolation methods, like using platelet-poor plasma, ensures accurate TF activity measurement for detecting prothrombotic states.

Area of Science:

  • Hematology
  • Thrombosis Research
  • Biochemistry

Background:

  • Elevated tissue factor positive (TF(+)) microparticles (MPs) are linked to increased thrombosis risk.
  • Previous studies established methods for measuring TF activity in plasma-derived MPs.
  • This study focuses on optimizing pre-analytical and analytical variables for MP TF activity assessment.

Purpose of the Study:

  • To investigate pre-analytical and analytical factors affecting TF activity measurement in MPs.
  • To determine optimal conditions for isolating TF(+) MPs from blood samples.
  • To compare MP TF activity assay with protein quantification methods.

Main Methods:

  • Evaluated centrifugation speeds (20,000×g vs. 100,000×g) for MP isolation.
  • Compared TF activity in MPs from platelet-poor versus platelet-free plasma.
  • Assessed the impact of freeze/thaw cycles on MP TF activity.
  • Compared MP TF activity assay with ELISA and flow cytometry for TF protein measurement.

Main Results:

  • Similar TF activity in MPs isolated by 20,000×g or 100,000×g centrifugation.
  • Significantly lower TF activity in MPs from platelet-free plasma compared to platelet-poor plasma.
  • Freeze/thaw cycles induced variable changes in MP TF activity across donors.

Conclusions:

  • Quantitative isolation of TF(+) MPs is feasible using centrifugation (20,000×g for 15 min) from platelet-poor or platelet-free plasma.
  • MP TF activity measurement is a potential biomarker for identifying prothrombotic states in various diseases.