Plasma extracellular vesicle proteins biomarker for cerebral small vessel disease related cognitive impairment

Abstract Background Cerebral small vessel disease (CSVD) is a major contributor to vascular dementia. Given the absence of effective treatments, the development of blood-based biomarkers for early diagnosis and prediction is paramount to facilitate targeted clinical interventions. We aimed to identified blood-based extracellular vesicle (EV) biomarkers for screening CSVD with normal cognition (CSVD-NC) or cognitive impairment (CSVD-CI), and predicting disease progression. Methods We conducted a multi-center cross-sectional and longitudinal study involving patients with CSVD-NC and CSVD-CI, healthy controls (HCs), and patients with CI due to Alzheimer’s disease (AD-CI). Plasma EV proteomics were profiled using LC-MS/MS in a discovery set. Candidate EV biomarkers identified in this phase were subsequently validated in a larger independent set using parallel reaction monitoring. Machine learning was applied to develop and optimize diagnostic combinations for identifying CSVD and predicting disease progression. Results Plasma EV proteins exhibiting progressive changes during CSVD progression were predominantly enriched in immune-inflammatory and ribosomal dysfunction. Three plasma EV proteins (ATP6V1F, HNRNPU, and RPL38) demonstrated robust, cross-dataset consistency from HC to CSVD-NC to CSVD-CI continuum, and displayed distinct expression patterns between CSVD-CI and AD-CI (P