Overview

• An international team led from Turin with the U.S. National Institutes of Health profiled more than 3,000 plasma proteins to pinpoint the ALS-linked signature.
• The discovery centers on 33 proteins that showed significant differences in people with ALS compared with healthy controls.
• The initial analysis included 183 patients and 309 controls, and the findings were confirmed in a second independent cohort.
• A machine-learning model based on the panel distinguished ALS cases from controls with a reported 98.3% accuracy.
• Analyses of pre-diagnostic blood samples revealed proteomic changes years before symptoms, though broader validation is needed before any clinical test or screening.