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Comparison of Extracellular Vesicles from Induced Pluripotent Stem Cell-Derived Brain Cells.

Authors :
Xavier, Gabriela
Navarrete Santos, Alexander
Hartmann, Carla
Santoro, Marcos L.
Flegel, Nicole
Reinsch, Jessica
Majer, Annika
Ehrhardt, Toni
Pfeifer, Jenny
Simm, Andreas
Hollemann, Thomas
Belangero, Sintia I.
Rujescu, Dan
Jung, Matthias
Source :
International Journal of Molecular Sciences. Apr2024, Vol. 25 Issue 7, p3575. 13p.
Publication Year :
2024

Abstract

The pathophysiology of many neuropsychiatric disorders is still poorly understood. Identification of biomarkers for these diseases could benefit patients due to better classification and stratification. Exosomes excreted into the circulatory system can cross the blood–brain barrier and carry a cell type-specific set of molecules. Thus, exosomes are a source of potential biomarkers for many diseases, including neuropsychiatric disorders. Here, we investigated exosomal proteins produced from human-induced pluripotent stem cells (iPSCs) and iPSC-derived neural stem cells, neural progenitors, neurons, astrocytes, microglia-like cells, and brain capillary endothelial cells. Of the 31 exosome surface markers analyzed, a subset of biomarkers were significantly enriched in astrocytes (CD29, CD44, and CD49e), microglia-like cells (CD44), and neural stem cells (SSEA4). To identify molecular fingerprints associated with disease, circulating exosomes derived from healthy control (HC) individuals were compared against schizophrenia (SCZ) patients and late-onset Alzheimer's disease (LOAD) patients. A significant epitope pattern was identified for LOAD (CD1c and CD2) but not for SCZ compared to HC. Thus, analysis of cell type- and disease-specific exosome signatures of iPSC-derived cell cultures may provide a valuable model system to explore proteomic biomarkers for the identification of novel disease profiles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16616596
Volume :
25
Issue :
7
Database :
Academic Search Index
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
176595961
Full Text :
https://doi.org/10.3390/ijms25073575