Articles producció científicaMedicina i Cirurgia

Next-Generation Proteomics of Brain Extracellular Vesicles in Schizophrenia Provide New Clues on the Altered Molecular Connectome

  • Identification data

    Identifier:  imarina:9351845
    Authors:  Lorca, C; Fernandez-Rhodes, M; Milan, JAS; Mulet, M; Elortza, F; Ramos-Miguel, A; Callado, LF; Meana, JJ; Mur, M; Batalla, I; Vilella, E; Serra, A; Gallart-Palau, X
    Abstract:
    Extracellular vesicles (EVs) are tiny membranous structures that mediate intercellular communication. The role(s) of these vesicles have been widely investigated in the context of neurological diseases; however, their potential implications in the neuropathology subjacent to human psychiatric disorders remain mostly unknown. Here, by using next-generation discovery-driven proteomics, we investigate the potential role(s) of brain EVs (bEVs) in schizophrenia (SZ) by analyzing these vesicles from the three post-mortem anatomical brain regions: the prefrontal cortex (PFC), hippocampus (HC), and caudate (CAU). The results obtained indicate that bEVs from SZ-affected brains contain region-specific proteins that are associated with abnormal GABAergic and glutamatergic transmission. Similarly, these vesicles from the analyzed regions were implicated in synaptic decay, abnormal brain immunity, neuron structural imbalances, and impaired cell homeostasis. Our findings also provide evidence, for the first time, that networks of molecular exchange (involving the PFC, HC, and CAU) are potentially active and mediated by EVs in non-diseased brains. Additionally, these bEV-mediated networks seem to have become partially reversed and largely disrupted in the brains of subjects affected by SZ. Taken as a whole, these results open the door to the uncovering of new biological markers and therapeutic targets, based on the compositions of bEVs, for the benefit of patients affected by SZ and related psychotic disorders.
  • Others:

    Link to the original source: https://www.mdpi.com/2227-9059/12/1/129
    APA: Lorca, C; Fernandez-Rhodes, M; Milan, JAS; Mulet, M; Elortza, F; Ramos-Miguel, A; Callado, LF; Meana, JJ; Mur, M; Batalla, I; Vilella, E; Serra, A; Ga (2024). Next-Generation Proteomics of Brain Extracellular Vesicles in Schizophrenia Provide New Clues on the Altered Molecular Connectome. Biomedicines, 12(1), -. DOI: 10.3390/biomedicines12010129
    Paper original source: Biomedicines. 12 (1):
    Article's DOI: 10.3390/biomedicines12010129
    Journal publication year: 2024
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2024-02-17
    URV's Author/s: Vilella Cuadrada, Elisabet
    Department: Medicina i Cirurgia
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Lorca, C; Fernandez-Rhodes, M; Milan, JAS; Mulet, M; Elortza, F; Ramos-Miguel, A; Callado, LF; Meana, JJ; Mur, M; Batalla, I; Vilella, E; Serra, A; Gallart-Palau, X
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Pharmacology & pharmacy, Medicine, research & experimental, Medicine (miscellaneous), General biochemistry,genetics and molecular biology, Ciencias sociales, Biochemistry, genetics and molecular biology (miscellaneous), Biochemistry, genetics and molecular biology (all), Biochemistry & molecular biology
    Author's mail: elisabet.vilella@urv.cat
  • Keywords:

    Systems biology
    Psychotic spectrum
    Psychiatry
    Neuroinflammation
    Molecular exchange
    Immunoglobulins
    Extracellular vesicles
    Experience
    Brain antibodies
    pathology
    cortex
    cell
    Biochemistry & Molecular Biology
    Biochemistry
    Genetics and Molecular Biology (Miscellaneous)
    Medicine (Miscellaneous)
    Medicine
    Research & Experimental
    Pharmacology & Pharmacy
    General biochemistry
    genetics and molecular biology
    Ciencias sociales
    genetics and molecular biology (all)
  • Documents:

  • Cerca a google

    Search to google scholar