Developing a Comprehensive Biomarker Panel for Monitoring Progression and Early Detection in ALS Patients
NCT07737977 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2026-07-30
Summary
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.
Conditions
- ALS (Amyotrophic Lateral Sclerosis)
Interventions
- OTHER
-
peripheral venous blood collection
collection of an additional 24 mL of blood following a routine blood draw
- OTHER
-
collection of medical data related to patient care
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
Sponsors & Collaborators
-
Hospital Universitari Vall d'Hebron Research Institute
collaborator OTHER -
University Hospital, Montpellier
lead OTHER
Principal Investigators
-
Florence ESSELIN, MD · University Hospital, Montpellier
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-08-31
- Primary Completion
- 2029-02-28
- Completion
- 2029-08-31
Countries
- France
- Spain
Study Locations
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