Developing a Comprehensive Biomarker Panel for Monitoring Progression and Early Detection in ALS Patients
NCT07737977
ALS (Amyotrophic Lateral Sclerosis), Amyotrophic Lateral Sclerosis
Montpellier, Occitanie, France
View Trial DetailsNCT Number: NCT07479017
The search for diagnostic biomarkers that can be used routinely is a major challenge to manage Amyotrophic lateral sclerosis (ALS) in order to characterize the pathophysiology and accelerate the management of the disease. Some non-specific biomarkers have been proposed (Neurofilaments, TDP-43) but their diagnostic value remains controversial. This study aims to identify ALS-specific platelet biomarkers using targeted and untargeted multi-omic approaches, in order to enable differential diagnosis between ALS and other motor neuron diseases.
Trial opening soon.
Get Notified18 year–75 year
All sexes
Observational
University hospital, Limoges, Limoges, France
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive loss of motor neurons, leading to increasing muscle paralysis. The pathophysiology of ALS remains poorly understood, and the absence of a diagnostic test makes this disease a real challenge, requiring an average of 12 months before a reliable ALS diagnosis can be established. Yet, this disease progresses rapidly, leading to death on average 36 months after the onset of symptoms. The search for diagnostic biomarkers that can be used routinely is therefore a major challenge in order to characterize the pathophysiology and accelerate the management of the disease. To date, a few avenues have been explored, including the concentration in the blood or cerebrospinal fluid of neurofilaments, a protein that can be used to assess the progression of neuronal loss. This biomarker has shown some potential but is not specific to ALS and its diagnostic value remains controversial. In addition, the TDP-43 protein, involved in RNA metabolism, has been widely described as pathogenic in ALS. Indeed, its aggregation and modification of its localization are thought to be associated with motor neuron degeneration. Several studies have demonstrated the presence of this protein in platelets, suggesting their potential as a source of peripheral biomarkers. This project aims to identify platelet molecular biomarkers in ALS patients within three months of diagnosis, using targeted (TDP-43 and neurofilaments) and non-targeted (metabo-lipidomic, transcriptomic, and proteomic profiles) approaches. This multi-omic approach could reveal a complex, comprehensive, and specific signature of ALS. The results will allow us to evaluate the diagnostic and prognostic performance of platelet biomarkers, either on their own or in combination.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Patients with ALS:
Controls with another motor neuron disease:
Exclusion criteria
Time frame: Enrollment (< 3 months post-diagnosis)
Platelet biomarkers will be sought using targeted (TDP-43) and non-targeted multiomics screening approaches (transcriptomic, proteomic, metabo-lipidomic). The identified biomarkers will be integrated into multivariate models to evaluate their diagnostic potential in distinguishing ALS from other motor neuron diseases (sensibility, specificity, positive or negative predictive value).
Time frame: Enrollment (<3 months post-diagnosis)
Plasma neurofilament concentration will be measured in each participant's sample. Diagnostic potential of platelet biomarkers will be compared to that of plasma neurofilaments concentration. The platelet biomarkers previously identified and plasma neurofilament concentration will be integrated into multivariate models to evaluate and compare their diagnostic potential in distinguishing ALS from other motor neuron diseases.
Time frame: Enrollment (<3 months post-diagnosis)
To better understand the pathophysiology of ALS, relationships with clinical characteristics will be investigated: weight, height, medical history, ALSFRS-r, King's and Milano-Torino scales, Forced Vital Capacity, symptom onset, site of onset, age of onset and concomitant treatments.
Time frame: Enrollment (<3 months post-diagnosis)
The capacity to discriminate distinct clinical endophenotype of ALS patients according to platelet molecular signatures will be evaluated using multivariate models.
Time frame: Functional evolution between enrolment (<3months post-diagnosis) and 12 months
Capacity of platelet biomarkers measured within 3 months post-diagnosis to predict functional progression of ALS (i.e. the percentage change in ALSFRS-R score between diagnosis and one year later)
Contact information is provided by the study sponsor or research team.
University Hospital, Tours
Other
Acronym: SLA-PlaQ
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