Novel blood-based proteomic signatures across multiple neurodegenerative diseases
计算生物学
神经科学
生物
计算机科学
医学
作者
Rory Durcan,Amanda Heslegrave,Peter G. Swann,Julia Goddard,Leonidas Chouliaras,Alexander G. Murley,George Savulich,W Richard Bevan‐Jones,Owen J Swann,Nicholas J. Ashton,Kaj Blennow,William A. McEwan,Henrik Zetterberg,James B. Rowe,John T. O’Brien,Maura Malpetti
出处
期刊:Cold Spring Harbor Laboratory - medRxiv日期:2024-12-30
标识
DOI:10.1101/2024.12.28.24319680
摘要
INTRODUCTION: Blood-based biomarkers have the potential to support early and accurate diagnosis of neurodegenerative diseases, which is sensitive to molecular pathology and predictive of outcome. We evaluated a novel multiplex proteomic method in people with diverse neurodegenerative diseases. METHODS: Serum from people with Alzheimer's disease (N=36), Lewy body dementia (N=34), frontotemporal dementia (N=36) and progressive supranuclear palsy (N=36) and age-matched controls (N=30) was analysed with the NUcleic acid Linked Immuno-Sandwich Assay (NULISA) central nervous system panel (~120 analytes) and inflammation panel (250 analytes). Biomarkers were compared across groups and included as predictors of survival. RESULTS: The NULISA panels demonstrated high sensitivity and reliability for detecting multiple biomarkers across neurodegenerative disorders. There were condition-specific proteomic biomarkers, while NfL, CRH, CD276 and S100A12 were significant transdiagnostic outcome predictors. DISCUSSION: The sensitive NULISA multiplex approach supports differential diagnosis and target identification, with prognostically informative dementia-related biomarkers.