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pmid:36080270
Exosome Proteomics Reveals the Deregulation of Coagulation, Complement and Lipid Metabolism Proteins in Gestational Diabetes Mellitus.
Elena G Bernea · Viorel I Suica · Elena Uyy · Aurel Cerveanu-Hogas · Raluca M Boteanu · Luminita Ivan · Iuliana Ceausu · Doina A Mihai · Constantin Ionescu-Tîrgoviște · Felicia Antohe
Molecules (Basel, Switzerland) · 2022 doi:10.3390/molecules27175502
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Gestational diabetes mellitus (GDM) is characterized by different levels of chronic low-grade inflammation and vascular dysfunction; however, there are few data characterizing the serum exosomal protein cargo of GDM patients and associated signaling pathways. Eighteen pregnant women were enrolled in the study: 8 controls (CG) and 10 patients with GDM. Blood samples were collected from patients, for exosomes' concentration. Protein abundance alterations were demonstrated by relative mass spectrometric analysis and their association with clinical parameters in GDM patients was performed using Pearson's correlation analysis. The proteomics analysis revealed 78 significantly altered proteins when comparing GDM to CG, related to complement and coagulation cascades, platelet activation, prothrombotic factors and cholesterol metabolism. Down-regulation of Complement C3 (C3), Complement C5 (C5), C4-B (C4B), C4b-binding protein beta chain (C4BPB) and C4b-binding protein alpha chain (C4BPA), and up-regulation of C7, C9 and F12 were found in GDM. Our data indicated significant correlations between factors involved in the pathogenesis of GDM and clinical parameters that may improve the understanding of GDM pathophysiology. Data are available via ProteomeXchange with identifier PXD035673.", "claims": [{"id": "claim-method", "statement": "For mass spectrometric bioinformatics analysis, statistical algorithms were employed for correcting the ANOVA-obtained p-values using the Benjamini–Hochberg algorithm based on the false discovery rate (FDR). For the other experiments, the data were expressed as the mean ± standard deviation (SD). Pearson’s correlation analysis was performed on patients’ characteristics associated with GDM and serum level parameters. 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