Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease for which reliable biomarkers for early diagnosis, prognosis, and patient stratification remain limited. Previous genetic, proteomic, imaging, and electrophysiological studies have identified potential biomarkers and phenotype modifiers, improving the understanding of motor neuron degeneration mechanisms. However, these findings have not yet been translated into a clinically useful biomarker algorithm. This observational study aims to develop a biomarker panel to support the diagnosis, prognosis, and stratification of patients with ALS. Clinical and molecular biomarkers previously associated with ALS phenotypes will be analyzed simultaneously and integrated into a multivariable predictive model. Clinical data and biological samples will be collected and analyzed to identify combinations of biomarkers associated with ALS phenotypes.
Study Type
OBSERVATIONAL
Enrollment
200
collection of an additional 24 mL of blood following a routine blood draw
collection of medical data from patient care during the 12-month follow-up period, drawn from electronic medical records, including laboratory test results, clinical examination findings, and paraclinical test results
Montpellier University Hospital
Montpellier, Occitanie, France
Hospital Universitari Vall D'Hebron
Barcelona, Spain
Development of a biomarker panel for diagnosis, prognosis, and patient stratification in ALS
A multivariable biomarker panel integrating clinical variables, genetic variants associated with ALS survival, and serum protein and immunological biomarkers will be evaluated. Biomarkers include cytokines, neurofilament light chain (NF-L), GFAP, phosphorylated TDP-43, TDP-43, total Tau, phosphorylated Tau, and UCHL1, together with genotyping of ALS-associated survival variants. The panel will be assessed for its ability to support prognosis and patient stratification in amyotrophic lateral sclerosis (ALS).
Time frame: From baseline to 12 months
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