Proteomic profile of CSF obtained at the time of diagnosis determines amyotrophic lateral sclerosis progression and survival: CXCL7 levels in disease prognosis and survival

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Authors: Sergio Roca-Pereira, Yaiza López-Sampere, Pol Mengod-Soler, Mario Peña-Fonteboa, A. Di Marco, Alejandro Caravaca Puchades, Raúl Domínguez, Juan Francisco Vazquez-Costa, Enrique Santamaría, Joaquín Fernández‐Irigoyen, Maria Jose Colomina, Isabel León
+8 more Antonio Martı́nez-Yélamos, Sergio Martínez‐Yélamos, Gabriel Santpere, Èlia Òbis, Manuel Portero‐Otín, Gerard Piñol‐Ripoll, Mónica Povedano, Pol Andrés‐Benito
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References: 6

Abstract

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease primarily affecting motor neurons. Neurofilament light chain (NfL) is the most established prognostic biomarker; however, its diagnostic resolution is limited, particularly within intermediate concentration ranges, and it does not capture the molecular heterogeneity of ALS. This study aimed to identify complementary cerebrospinal fluid (CSF) biomarkers and pathway-specific signatures through a non-targeted multiomic approach. We performed SWATH-MS-based proteomics and LC-MS/MS lipidomics on CSF from ALS patients stratified by survival (ALS-SS and ALS-LS) and healthy controls. Weighted protein co-expression network analysis (WPCNA) was applied to identify biologically coherent protein modules associated with disease phenotype and progression. Top biomarker candidates were further evaluated using immunoassays in an independent cohort. Post-mortem ALS spinal cord tissues were analyzed to explore the pathophysiological relevance of identified proteins. CSF proteomic profiles robustly distinguished ALS patients from controls and stratified patient subgroups by survival, revealing a molecular signature characterized by inflammation, downregulation of detoxification mechanisms, and synaptic dysregulation in aggressive disease forms. In contrast, lipidomic profiles showed limited discriminatory power. WPCNA identified modular proteomic signatures capturing ALS heterogeneity, and machine learning models based on these profiles yielded optimal biomarker panels for diagnosis and prognosis. CXCL7 emerged as a promising complementary biomarker, and shed light in disease physiopathology. Immunoassay validation supported the diagnostic and prognostic potential of CXCL7 and its association with survival time. Histopathological analysis further confirmed CXCL7 localization in anterior horn motor neurons, despite no detectable changes in whole spinal cord lysates at late disease stages. Comprehensive CSF proteomic profiling, combined with network-based analysis, enhances our understanding of ALS molecular heterogeneity and provides a framework for precision biomarker discovery. CXCL7 complements NfL as a diagnostic and prognostic biomarker, supporting improved patient stratification and advancing the development of personalized therapeutic strategies in ALS.

Fields of Study & Subjects

Amyotrophic Lateral Sclerosis Research Multiple Sclerosis Research Studies Advanced Proteomics Techniques and Applications

Publication details

Journal / source
Brain Pathology
Volume
36
Issue
5
Pages
e70089–e70089
Publication date
3 March 2026
Language
EN