Literature DB >> 29540862

Proteomic signature of circulating extracellular vesicles in dilated cardiomyopathy.

Santiago Roura1,2,3, Ana Gámez-Valero4,5, Josep Lupón3,6,7, Carolina Gálvez-Montón1,3, Francesc E Borràs8,9,10, Antoni Bayes-Genis11,12,13,14.   

Abstract

Dilated cardiomyopathy (DCM) remains a major cause of heart failure and carries a poor prognosis despite important advances in recent years. Better disease characterization using novel molecular techniques is needed to refine its progression. This study explored the proteomic signature of plasma-derived extracellular vesicles (EVs) obtained from DCM patients and healthy controls using size-exclusion chromatography (SEC). EV-enriched fractions were analyzed by liquid chromatography-mass spectrometry (LC-MS/MS). Raw data obtained from LC-MS/MS were analyzed against the Uniprot human database using MaxQuant software. Additional analyses using Perseus software were based on the Intensity-Based Absolute Quantification (iBAQ) values from MaxQuant analyses. A total of 90.07 ± 21 proteins (227 different proteins) in the DCM group and 96.52 ± 17.91 proteins (183 different proteins) in the control group were identified. A total of 176 proteins (74.6%) were shared by controls and DCM patients, whereas 51 proteins were exclusive for the DCM group and 7 proteins were exclusive for the control group. Fibrinogen (α, β and γ chain), serotransferrin, α-1-antitrypsin, and a variety of apolipoprotein family members (C-I, C-III, D, H or β-2-glycoprotein, and J or clusterin) were clustered in SEC-EVs derived from DCM patients relative to controls (p < 0.05). Regarding Gene Ontology analysis, response to stress and protein activation-related proteins were enriched in DCM-EVs compared with controls. Thus, the present study reports the distinct proteomic signature of circulating DCM-EVs compared with control-EVs. Furthermore, we confirm that SEC obtains highly purified EV fractions from peripheral blood samples for subsequent use in determining disease-specific proteomic signatures.

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Year:  2018        PMID: 29540862     DOI: 10.1038/s41374-018-0044-5

Source DB:  PubMed          Journal:  Lab Invest        ISSN: 0023-6837            Impact factor:   5.662


  8 in total

1.  Methods for the Detection of Circulating Biomarkers in Cancer Patients.

Authors:  Patricia Mondelo-Macía; Ana María Rodríguez-Ces; María Mercedes Suárez-Cunqueiro; Laura Muinelo Romay
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

2.  Isolation of High-Purity Extracellular Vesicles by the Combination of Iodixanol Density Gradient Ultracentrifugation and Bind-Elute Chromatography From Blood Plasma.

Authors:  Zsófia Onódi; Csilla Pelyhe; Csilla Terézia Nagy; Gábor B Brenner; Laura Almási; Ágnes Kittel; Mateja Manček-Keber; Péter Ferdinandy; Edit I Buzás; Zoltán Giricz
Journal:  Front Physiol       Date:  2018-10-23       Impact factor: 4.566

3.  Platelet proteome changes in dogs with congestive heart failure.

Authors:  Pinar Levent; Meriç Kocaturk; Emel Akgun; Ahmet Saril; Ozge Cevik; Ahmet Tarik Baykal; Ryou Tanaka; Jose Joaquin Ceron; Zeki Yilmaz
Journal:  BMC Vet Res       Date:  2020-11-30       Impact factor: 2.741

Review 4.  Extracellular Vesicles: Novel Opportunities to Understand and Detect Neoplastic Diseases.

Authors:  Laura Bongiovanni; Anneloes Andriessen; Marca H M Wauben; Esther N M Nolte-'t Hoen; Alain de Bruin
Journal:  Vet Pathol       Date:  2021-04-05       Impact factor: 2.221

5.  Effective Diagnosis of Prostate Cancer Based on mRNAs From Urinary Exosomes.

Authors:  Jiahua Gan; Xing Zeng; Xiong Wang; Ya Wu; Ping Lei; Zhihua Wang; Chunguang Yang; Zhiquan Hu
Journal:  Front Med (Lausanne)       Date:  2022-03-23

6.  Lim Domain Binding 3 (Ldb3) Identified as a Potential Marker of Cardiac Extracellular Vesicles.

Authors:  Fadi Abou Zeid; Henri Charrier; Olivia Beseme; Jean-Baptiste Michel; Paul Mulder; Philippe Amouyel; Florence Pinet; Annie Turkieh
Journal:  Int J Mol Sci       Date:  2022-07-01       Impact factor: 6.208

Review 7.  A Review of Exosomal Isolation Methods: Is Size Exclusion Chromatography the Best Option?

Authors:  Karim Sidhom; Patience O Obi; Ayesha Saleem
Journal:  Int J Mol Sci       Date:  2020-09-04       Impact factor: 5.923

8.  Circulating cardiomyocyte-derived extracellular vesicles reflect cardiac injury during systemic inflammatory response syndrome in mice.

Authors:  Hargita Hegyesi; Éva Pallinger; Szabina Mecsei; Balázs Hornyák; Csenger Kovácsházi; Gábor B Brenner; Zoltán Giricz; Krisztina Pálóczi; Ágnes Kittel; József Tóvári; Lilla Turiak; Delaram Khamari; Péter Ferdinandy; Edit I Buzás
Journal:  Cell Mol Life Sci       Date:  2022-01-20       Impact factor: 9.261

  8 in total

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