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Acta neuropathologica communications · 2026

Brain and circulating EV proteome signatures in schizophrenia as prognostic markers for age-related dementia.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Sánchez Milán Jose Antonio, Mulet Maria, Molet Itziar, Lisa-Molina Julia, Font-Alberich Maria, Lorca Cristina, Gea-Sánchez Montserrat, Bellon Filip, Batalla Iolanda, Meana J Javier, Callado Luis F, Morentin Benito, Ramos-Miguel Alfredo, Kalaria Raj N, Serra Aida, Gallart-Palau Xavier

Аннотация

Schizophrenia (SZ) is epidemiologically linked to an increased risk of developing age-related dementias (ARD) predominantly characterized by Alzheimer's disease and vascular dementia. However, the molecular mechanisms underlying this association remain insufficiently elucidated. Extracellular vesicles (EVs) play a critical role in neuropathological processes and offer a promising avenue for identifying shared disease mechanisms and potential circulating markers for patient stratification. Here we used a two-phase systems biology approach integrating discovery-driven proteomics with a targeted validation strategy using data-independent acquisition mass spectrometry (DIA-MS) in a large, independent SZ cohort. First, we analyzed brain-derived EVs (bEVs) from post-mortem SZ and ARD subjects to identify shared molecular signatures. Next, we validated the presence and circulation of these bEV markers in circulating plasma EVs (pEVs) using DIA-MS data. Remarkably, SZ and ARD bEV proteome and peptidome showed overlapping alterations in neuronal connectivity, synaptic integrity, neuroinflammation, and metabolism. Unsupervised clustering analysis of correlated bEV/pEV markers stratified SZ patients into two clusters: high dementia risk and control-like profiles. Collectively, these data emphasize the significance of bEVs as crucial mediators of shared neuropathogenic mechanisms in SZ, and ARD. Furthermore, we identified a set of pEVs markers, including proteins and specific peptides, with a robust and promising bench-to-bedside trajectory that may facilitate the stratification of SZ patients at risk for ARD.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты