Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

The study of pre-symptomatic amyotrophic lateral sclerosis (ALS) and the design of disease prevention trials are greatly hampered by our inability to predict which unaffected carriers of ALS-associated pathogenic variants will phenoconvert to clinically manifest disease, and when. In this longitudinal Olink Explore high-throughput proteomic study, 516 serially collected plasma samples from 33 phenoconverters, 35 patients with ALS, 10 pre-symptomatic pathogenic variant carriers and 59 controls were included. We identified 81 proteins whose concentrations changed prior to phenoconversion; characterized the longitudinal trajectory of these proteins; and identified a core panel of 19 proteins that, collectively, predicted phenoconversion over the 0.5- to 5-year time horizons (areas under curve 0.80-0.89) and yielded estimates of time-to-phenoconversion with a mean absolute error of 1.6 years. These findings were replicated in UK Biobank data, confirming pre-symptomatic increases in several proteins (e.g. NEFL, EDA2R, CA3) and that a multi-protein panel outperformed NEFL alone in estimating time-to-phenoconversion. This work sheds light on the biology of pre-symptomatic ALS. Moreover, our identification of a panel of novel susceptibility/risk biomarkers based on empirical longitudinal data furthers the ultimate goal of ALS prevention.

More information Original publication

DOI

10.64898/2025.12.06.25341403

Type

Journal article

Publication Date

2025-12-08T00:00:00+00:00