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Immunology - Pathology - Public Health and Epidemiology - Rheumatology


Improved Flow Cytometric Assessment Reveals Distinct Microvesicle (Cell-Derived Microparticle) Signatures in Joint Diseases
Published: Tuesday, November 20, 2012
Author: Bence György et al.

by Bence György, Tamás G. Szabó, Lilla Turiák, Matthew Wright, Petra Herczeg, Zsigmond Lédeczi, Ágnes Kittel, Anna Polgár, Kálmán Tóth, Beáta Dérfalvi, Gergo Zelenák, István Böröcz, Bob Carr, György Nagy, Károly Vékey, Steffen Gay, András Falus, Edit I. Buzás

Introduction

Microvesicles (MVs), earlier referred to as microparticles, represent a major type of extracellular vesicles currently considered as novel biomarkers in various clinical settings such as autoimmune disorders. However, the analysis of MVs in body fluids has not been fully standardized yet, and there are numerous pitfalls that hinder the correct assessment of these structures.

Methods

In this study, we analyzed synovial fluid (SF) samples of patients with osteoarthritis (OA), rheumatoid arthritis (RA) and juvenile idiopathic arthritis (JIA). To assess factors that may confound MV detection in joint diseases, we used electron microscopy (EM), Nanoparticle Tracking Analysis (NTA) and mass spectrometry (MS). For flow cytometry, a method commonly used for phenotyping and enumeration of MVs, we combined recent advances in the field, and used a novel approach of differential detergent lysis for the exclusion of MV-mimicking non-vesicular signals.

Results

EM and NTA showed that substantial amounts of particles other than MVs were present in SF samples. Beyond known MV-associated proteins, MS analysis also revealed abundant plasma- and immune complex-related proteins in MV preparations. Applying improved flow cytometric analysis, we demonstrate for the first time that CD3+ and CD8+ T-cell derived SF MVs are highly elevated in patients with RA compared to OA patients (p?=?0.027 and p?=?0.009, respectively, after Bonferroni corrections). In JIA, we identified reduced numbers of B cell-derived MVs (p?=?0.009, after Bonferroni correction).

Conclusions

Our results suggest that improved flow cytometric assessment of MVs facilitates the detection of previously unrecognized disease-associated vesicular signatures.

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