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miRNA cargo in circulating vesicles from neurons is altered in individuals with schizophrenia and associated with severe disease

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posted on 2025-05-11, 20:46 authored by Michelle Barnett, William R. Reay, Michael P. Geaghan, Dylan KiltschewskijDylan Kiltschewskij, Melissa J. Green, Judith WeidenhoferJudith Weidenhofer, Stephen J. Glatt, Murray CairnsMurray Cairns
While RNA expression appears to be altered in several brain disorders, the constraints of postmortem analysis make it impractical for well-powered population studies and biomarker development. Given that the unique molecular composition of neurons are reflected in their extracellular vesicles (EVs), we hypothesized that the fractionation of neuron derived EVs provides an opportunity to specifically profile their encapsulated contents noninvasively from blood. To investigate this hypothesis, we determined miRNA expression in microtubule associated protein 1B (MAP1B)-enriched serum EVs derived from neurons from a large cohort of individuals with schizophrenia and nonpsychiatric comparison participants. We observed dysregulation of miRNA in schizophrenia subjects, in particular those with treatment-resistance and severe cognitive deficits. These data support the hypothesis that schizophrenia is associated with alterations in posttranscriptional regulation of synaptic gene expression and provides an example of the potential utility of tissue-specific EV analysis in brain disorders.

Funding

NHMRC

1147644

1121474

History

Journal title

Science Advances

Volume

9

Issue

48

Article number

eadi4386

Publisher

American Association for the Advancement of Science (AAAS)

Language

  • en, English

College/Research Centre

College of Health, Medicine and Wellbeing

School

School of Biomedical Sciences and Pharmacy

Rights statement

© 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/). This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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