Literature DB >> 27429418

Correlative analysis of nanoparticle tracking, flow cytometric and functional measurements for circulating microvesicles in normal subjects.

Anoop K Enjeti1, Anita Ariyarajah2, Angel D'Crus2, Michael Seldon3, Lisa F Lincz4.   

Abstract

INTRODUCTION: Circulating microvesicles (MV) can be analysed using a number of different techniques. The aim of this study was to evaluate the correlation between functional procoagulant based assays including thrombin generation, factor Xa activation test (XaCT), and phosphatidylserine factor Xa-activity by ELISA with optical MV enumeration by flow cytometry and nanoparticle tracking analysis.
METHODS: Citrated blood samples were collected from 60 healthy volunteer blood donors after informed consent. Platelet free plasma was prepared using a standardized published protocol. MV subsets were enumerated by flow cytometry (BDFACS Canto) after staining with specific antibodies for platelets (CD41), endothelial cells (CD105), red cells (CD235) monocytes (CD14), tissue factor (CD142) and for phosphatidylserine expression by binding to annexin V. A standardized protocol using counting beads was employed. Nanotracking analysis was performed on both scatter and fluorescent settings after MV staining with quantum dot stain, Qdot 655. Procoagulant function was assessed by the XaCT assay on an automated coagulation analyser and by thrombin generation assay measuring endogenous thrombin potential (ETP), lagtime, peak (PEAK) and time to peak (ttPEAK) using a Calibrated Automated Thrombogram (CAT). The statistical analysis was carried out with Statistica 12 software using non-parametric tests (Spearman rank order correlations, with significance set at p<0.05).
RESULTS: In normal healthy subjects, thrombin generation parameters correlated with levels of MV measured by flow cytometry. ETP, lagtime, ttPEAK and PEAK correlated with MV expressing phosphatidylserine (rs, Spearman rank order correlation was 0.29, 0.40, 0.31 and 0.34 respectively, p<0.05), and MV expressing tissue factor (rs was 0.29, 0.40, 0.31 and 0.34 respectively, p<0.05), whilst red cell derived MV correlated with lagtime, ttPEAK and PEAK (rs, was 0.35,0.30 and 0.3, respectively, p<0.05). Lagtime and ttPEAK negatively correlated with the clot based XaCT test (rs, was -0.34 and -0.30 respectively, p<0.05) and positively correlated with the ELISA MP-activity assay (rs=0.42 for both, p<0.05). In addition, endothelial MV levels weakly correlated with white cell counts (rs = 0.27, p<0.05).
CONCLUSIONS: Thrombin generation and flow cytometry for phosphatidylserine or tissue factor expressing MV correlate well as markers for procoagulant activity. A combination of optical or non-optical enumeration as well as functional methods may be required for a complete profiling of circulating MV.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  Flow cytometry; Microvesicles; Nanoparticle tracking analysis; Thrombin generation

Mesh:

Substances:

Year:  2016        PMID: 27429418     DOI: 10.1016/j.thromres.2016.06.029

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  7 in total

1.  Strategies for enumeration of circulating microvesicles on a conventional flow cytometer: Counting beads and scatter parameters.

Authors:  Mohammad J Alkhatatbeh; Anoop K Enjeti; Sara Baqar; Elif I Ekinci; Dorothy Liu; Rick F Thorne; Lisa F Lincz
Journal:  J Circ Biomark       Date:  2018-04-05

2.  Erythrocyte microRNAs show biomarker potential and implicate multiple sclerosis susceptibility genes.

Authors:  Kira Groen; Vicki E Maltby; Rodney J Scott; Lotti Tajouri; Jeannette Lechner-Scott
Journal:  Clin Transl Med       Date:  2020-04-10

Review 3.  Of vascular defense, hemostasis, cancer, and platelet biology: an evolutionary perspective.

Authors:  David G Menter; Vahid Afshar-Kharghan; John Paul Shen; Stephanie L Martch; Anirban Maitra; Scott Kopetz; Kenneth V Honn; Anil K Sood
Journal:  Cancer Metastasis Rev       Date:  2022-01-12       Impact factor: 9.237

4.  Alk5/Runx1 signaling mediated by extracellular vesicles promotes vascular repair in acute respiratory distress syndrome.

Authors:  Trushil Shah; Shanshan Qin; Mona Vashi; Dan N Predescu; Niranjan Jeganathan; Cristina Bardita; Balaji Ganesh; Salvatore diBartolo; Louis F Fogg; Robert A Balk; Sanda A Predescu
Journal:  Clin Transl Med       Date:  2018-06-22

Review 5.  Platelet-Derived Extracellular Vesicles as Target of Antiplatelet Agents. What Is the Evidence?

Authors:  Francesco Taus; Alessandra Meneguzzi; Marco Castelli; Pietro Minuz
Journal:  Front Pharmacol       Date:  2019-11-08       Impact factor: 5.810

Review 6.  Role of extracellular vesicles in the development of sepsis-induced coagulopathy.

Authors:  Toshiaki Iba; Hiroshi Ogura
Journal:  J Intensive Care       Date:  2018-10-19

Review 7.  The Provocative Roles of Platelets in Liver Disease and Cancer.

Authors:  Preeti Kanikarla Marie; Natalie W Fowlkes; Vahid Afshar-Kharghan; Stephanie L Martch; Alexey Sorokin; John Paul Shen; Van K Morris; Arvind Dasari; Nancy You; Anil K Sood; Michael J Overman; Scott Kopetz; David George Menter
Journal:  Front Oncol       Date:  2021-07-21       Impact factor: 6.244

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.