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Redefining ALS: Large-scale proteomic profiling reveals a prolonged pre-diagnostic phase with immune, muscular, metabolic, and brain involvement.

作者信息

Homann Jan, Korologou-Linden Roxanna, Viallon Vivian, Morgan Sarah, Dobricic Valerija, Deecke Laura, Schessner Julia P, Smith-Byrne Karl, Birtles Daniel, Zhao Yujia, Wuu Joanne, Artaud Fanny, Hajizadah Fatema, Huerta Jose Maria, Ohlei Olena, Lebedev Mikhail, Kolijn P Martijn, Guevara Marcela, Jimenez-Zabala Ana, Sánchez María José, Trobajo-Sanmartín Camino, Colorado-Yohar Sandra M, Alonso-Martín Sonia, Petrova Dafina, Sieri Sabina, Berger Klaus, Peters Susan, Wareham Nick, Kaaks Rudolph, Travis Ruth C, Vermeulen Roel C H, Tzoulaki Ioanna, Elbaz Alexis, Mann Matthias, Sacerdote Carlotta, Masala Giovanna, Katzke Verena, Benatar Michael, Bertram Lars, Middleton Lefkos, Riboli Elio, Gunter Marc J, Ferrari Pietro, Robinson Oliver, Lill Christina M

出版信息

medRxiv. 2025 Aug 28:2025.08.20.25334061. doi: 10.1101/2025.08.20.25334061.


DOI:10.1101/2025.08.20.25334061
PMID:40909834
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12407616/
Abstract

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder with a largely unknown duration and pathophysiology of the pre-diagnostic phase, especially for the common non-monogenic form. METHODS: We leveraged the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort with up to 30 years of follow-up to identify incident ALS cases across five European countries. Pre-diagnostic plasma samples from initially healthy participants underwent high-throughput proteomic profiling (7,285 protein markers, SomaScan). Cox proportional hazards models based on 4,567 participants (including 172 incident ALS cases) were used to identify protein biomarkers associated with future ALS diagnosis. Top results were indirectly validated in two independent case-control studies of prevalent ALS (n=417 ALS, 852 controls). Functional annotation included cross-disease comparisons, gene set and tissue enrichment testing, organ-specific proteomic clocks, and the application of large-language models (LLM). FINDINGS: Five proteins (SECTM1, CA3, THAP4, KLHL41, SLC26A7) were identified as significant pre-diagnostic ALS biomarkers (FDR=0.05), detectable approximately two decades before diagnosis. Of these, all except SECTM1 were indirectly validated in independent cohorts of prevalent ALS cases, supporting their clinical significance. Additionally, 22 nominally significant (p<0.05) pre-diagnostic biomarkers were FDR-significant in prevalent ALS with consistent effect directions. Cross-disease comparisons with pre-diagnostic Parkinson's and Alzheimer's disease suggested a largely specific pre-diagnostic ALS biomarker signature. Gene ontology and tissue enrichment highlighted early involvement of immune, muscle, metabolic, and digestive processes. Furthermore, analyses of proteomic clocks revealed accelerated aging in brain-cognition, immune, and muscle tissues before clinical diagnosis. Druggability and LLM analyses revealed possible therapeutic targets and novel strategies, emphasizing translational relevance. INTERPRETATION: Our study provides first evidence of ultra-early molecular changes in common ALS up to two decades prior to clinical onset, mainly affecting immune, muscle, metabolic, digestive, and cognitive systems. Our study nominates several compelling candidates for risk stratification studies and novel therapeutic targets for early intervention. FUNDING: Clinical Research in ALS and Related Disorders for Therapeutic Development (CreATe) Consortium, Cure Alzheimer's Fund, Michael J Fox Foundation, Interdisciplinary Centre for Clinical Research, University Münster.

摘要

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