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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\u2010specific signatures through a non\u2010targeted multiomic approach. We performed SWATH\u2010MS\u2010based proteomics and LC\u2013MS\/MS lipidomics on CSF from ALS patients stratified by survival (ALS\u2010SS and ALS\u2010LS) and healthy controls. Weighted protein co\u2010expression 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\u2010mortem 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\u2010based 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.<\/jats:p>","DOI":"10.1111\/bpa.70089","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T14:04:18Z","timestamp":1772978658000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Proteomic profile of\n                    <scp>CSF<\/scp>\n                    obtained at the time of diagnosis determines amyotrophic lateral sclerosis progression and survival:\n                    <scp>CXCL7<\/scp>\n                    levels in disease prognosis and survival"],"prefix":"10.1111","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7393-0057","authenticated-orcid":false,"given":"Sergio","family":"Roca\u2010Pereira","sequence":"first","affiliation":[{"name":"Neurology and Neurogenetics Group\u2010 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