Literature DB >> 32665078

Circulating extracellular vesicles as non-invasive biomarker of rejection in heart transplant.

Chiara Castellani1, Jacopo Burrello2, Marny Fedrigo1, Alessio Burrello3, Sara Bolis2, Dario Di Silvestre4, Francesco Tona5, Tomaso Bottio5, Vanessa Biemmi6, Giuseppe Toscano5, Gino Gerosa5, Gaetano Thiene1, Cristina Basso1, Sarah L Longnus7, Giuseppe Vassalli6, Annalisa Angelini8, Lucio Barile9.   

Abstract

BACKGROUND: Circulating extracellular vesicles (EVs) are raising considerable interest as a non-invasive diagnostic tool, as they are easily detectable in biologic fluids and contain a specific set of nucleic acids, proteins, and lipids reflecting pathophysiologic conditions. We aimed to investigate differences in plasma-derived EV surface protein profiles as a biomarker to be used in combination with endomyocardial biopsies (EMBs) for the diagnosis of allograft rejection.
METHODS: Plasma was collected from 90 patients (53 training cohort, 37 validation cohort) before EMB. EV concentration was assessed by nanoparticle tracking analysis. EV surface antigens were measured using a multiplex flow cytometry assay composed of 37 fluorescently labeled capture bead populations coated with specific antibodies directed against respective EV surface epitopes.
RESULTS: The concentration of EVs was significantly increased and their diameter decreased in patients undergoing rejection as compared with negative ones. The trend was highly significant for both antibody-mediated rejection and acute cellular rejection (p < 0.001). Among EV surface markers, CD3, CD2, ROR1, SSEA-4, human leukocyte antigen (HLA)-I, and CD41b were identified as discriminants between controls and acute cellular rejection, whereas HLA-II, CD326, CD19, CD25, CD20, ROR1, SSEA-4, HLA-I, and CD41b discriminated controls from patients with antibody-mediated rejection. Receiver operating characteristics curves confirmed a reliable diagnostic performance for each single marker (area under the curve range, 0.727-0.939). According to differential EV-marker expression, a diagnostic model was built and validated in an external cohort of patients. Our model was able to distinguish patients undergoing rejection from those without rejection. The accuracy at validation in an independent external cohort reached 86.5%. Its application for patient management has the potential to reduce the number of EMBs. Further studies in a higher number of patients are required to validate this approach for clinical purposes.
CONCLUSIONS: Circulating EVs are highly promising as a new tool to characterize cardiac allograft rejection and to be complementary to EMB monitoring.
Copyright © 2020 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  allograft rejection; biomarker; extracellular vesicles; heart transplant; machine learning

Year:  2020        PMID: 32665078     DOI: 10.1016/j.healun.2020.06.011

Source DB:  PubMed          Journal:  J Heart Lung Transplant        ISSN: 1053-2498            Impact factor:   10.247


  15 in total

Review 1.  Noninvasive biomarkers in heart transplant: 2020-2021 year in review.

Authors:  Xiaoxiao Qian; Palak Shah; Sean Agbor-Enoh
Journal:  Curr Opin Organ Transplant       Date:  2022-02-01       Impact factor: 2.640

Review 2.  A Changing Paradigm in Heart Transplantation: An Integrative Approach for Invasive and Non-Invasive Allograft Rejection Monitoring.

Authors:  Alessia Giarraputo; Ilaria Barison; Marny Fedrigo; Jacopo Burrello; Chiara Castellani; Francesco Tona; Tomaso Bottio; Gino Gerosa; Lucio Barile; Annalisa Angelini
Journal:  Biomolecules       Date:  2021-02-01

3.  Profiling Inflammatory Extracellular Vesicles in Plasma and Cerebrospinal Fluid: An Optimized Diagnostic Model for Parkinson's Disease.

Authors:  Elena Vacchi; Jacopo Burrello; Alessio Burrello; Sara Bolis; Silvia Monticone; Lucio Barile; Alain Kaelin-Lang; Giorgia Melli
Journal:  Biomedicines       Date:  2021-02-25

4.  Cardiac Graft Assessment in the Era of Machine Perfusion: Current and Future Biomarkers.

Authors:  Martina Bona; Rahel K Wyss; Maria Arnold; Natalia Méndez-Carmona; Maria N Sanz; Dominik Günsch; Lucio Barile; Thierry P Carrel; Sarah L Longnus
Journal:  J Am Heart Assoc       Date:  2021-01-30       Impact factor: 5.501

Review 5.  Mesenchymal stem cells and extracellular vesicles in therapy against kidney diseases.

Authors:  Yuling Huang; Lina Yang
Journal:  Stem Cell Res Ther       Date:  2021-03-31       Impact factor: 6.832

Review 6.  Dysfunctional Vascular Endothelium as a Driver of Atherosclerosis: Emerging Insights Into Pathogenesis and Treatment.

Authors:  Steven R Botts; Jason E Fish; Kathryn L Howe
Journal:  Front Pharmacol       Date:  2021-12-22       Impact factor: 5.810

Review 7.  Extracellular Vesicles in Transplantation.

Authors:  Nicolas Sailliet; Matti Ullah; Amandine Dupuy; Amanda K A Silva; Florence Gazeau; Hoa Le Mai; Sophie Brouard
Journal:  Front Immunol       Date:  2022-02-03       Impact factor: 7.561

8.  Sphingolipid composition of circulating extracellular vesicles after myocardial ischemia.

Authors:  J Burrello; V Biemmi; M Dei Cas; M Amongero; S Bolis; E Lazzarini; S Bollini; G Vassalli; R Paroni; L Barile
Journal:  Sci Rep       Date:  2020-09-30       Impact factor: 4.379

Review 9.  Traditional and Emerging Biomarkers in Asymptomatic Left Ventricular Dysfunction-Promising Non-Coding RNAs and Exosomes as Biomarkers in Early Phases of Cardiac Damage.

Authors:  Milijana Janjusevic; Alessandra Lucia Fluca; Federico Ferro; Giulia Gagno; Yuri D'Alessandra; Antonio Paolo Beltrami; Gianfranco Sinagra; Aneta Aleksova
Journal:  Int J Mol Sci       Date:  2021-05-06       Impact factor: 5.923

Review 10.  Methodologies to Isolate and Purify Clinical Grade Extracellular Vesicles for Medical Applications.

Authors:  Asma Akbar; Farzaneh Malekian; Neda Baghban; Sai Priyanka Kodam; Mujib Ullah
Journal:  Cells       Date:  2022-01-06       Impact factor: 6.600

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