4.6 Article

Proteomic signature of circulating extracellular vesicles in dilated cardiomyopathy

Journal

LABORATORY INVESTIGATION
Volume 98, Issue 10, Pages 1291-1299

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41374-018-0044-5

Keywords

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Funding

  1. Ministerio de Economia, Industria y Competitividad [SAF2014-59892-R]
  2. Fundacio La MARATO de TV3 [201405/10, 201502, 201516]
  3. Societat Catalana de Cardiologia
  4. Generalitat de Catalunya (SGR 2014, CERCA Programme)
  5. Fundacio Bancaria La Caixa
  6. Red de Terapia Celular-TerCel [RD16/0011/0006]
  7. CIBER Cardiovascular [CB16/11/00403]
  8. Fondo de Investigacion Sanitaria, Instituto de Salud Carlos III as part of the Plan Nacional de I+D+I [FIS PI14/01682]

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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 (alpha, beta and gamma chain), serotransferrin, alpha-1-antitrypsin, and a variety of apolipoprotein family members (C-I, C-III, D, H or beta-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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