Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/115989
Title: Comparison of extracellular vesicles from induced pluripotent stem cell-derived brain cells
Author(s): Xavier, Gabriela
Navarrete Santos, AlexanderLook up in the Integrated Authority File of the German National Library
Hartmann, Carla JohannaLook up in the Integrated Authority File of the German National Library
Santoro, Marcos L.
Flegel, Nicole
Reinsch, Dorothee JessicaLook up in the Integrated Authority File of the German National Library
Majer, Annika LiisaLook up in the Integrated Authority File of the German National Library
Ehrhardt, ToniLook up in the Integrated Authority File of the German National Library
Pfeifer, Jenny
Simm, AndreasLook up in the Integrated Authority File of the German National Library
Hollemann, Thomas
Belangero, Sintia I.
Rujescu, DanLook up in the Integrated Authority File of the German National Library
Jung, Matthias
Issue Date: 2024
Type: Article
Language: English
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.
URI: https://opendata.uni-halle.de//handle/1981185920/117944
http://dx.doi.org/10.25673/115989
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: International journal of molecular sciences
Publisher: Molecular Diversity Preservation International
Publisher Place: Basel
Volume: 25
Issue: 7
Original Publication: 10.3390/ijms25073575
Page Start: 1
Page End: 13
Appears in Collections:Open Access Publikationen der MLU

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