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Completed

NCT Number: NCT02670226

Muscular Biomarkers in Amyotrophic Lateral Sclerosis

The first objective is to find some biomarkers, or a profile of biomarkers of ALS to help to diagnosis. The second objective is to better understand the pathogenesis of this disease by the exploration of muscle, blood and satellite cells metabolomes and transcriptomes.

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Key information

Age range

18 year–75 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Service de Neurologie, CHRU de TOURS, Tours, France

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About this study

Amyotrophic Lateral Sclerosis (ALS), the most common MND, is a fatal adult-onset neuromuscular disease. Due to clinical heterogeneity and absence of biological tools to diagnose ALS, the delay between the first symptoms and diagnosis averages 9-13 months. A group of pathophysiological processes, including oxidative stress and glutamate-mediated excitotoxicity contribute to cell death, but the triggering factor, the timing and the interaction of different cellular events await elucidation [2]. Unknown pathogenesis for most patients means few available treatments. The search for biomarkers that can aid diagnosis, characterize phenotype, define pathophysiology, identify endpoints in trials and measure disease progression is of utmost importance for the field. Some studies have advocated that muscle per se may be impaired by pathogenesis of the diseases. Muscle has been poorly studied and its central role in energetic metabolism suggests that this tissue, quite easily available, should be more analyzed to find biomarkers and to compare muscular metabolism with those of brain and overall body. Specific aims of our subjects are:

Specific aims are focused on:

  • the acquisition of metabolites profiles of the muscle, blood and satellite cells using an analytical platform enable a deep exploration. For that, the use of three analytical modalities (NMR, mass spectrometry coupled to GC or UPLC) ensures the best coverage of the metabolite population with a high range of concentration variability and molecular diversity.
  • the building of metabolites profiles models that discriminate pathological and control situations.
  • the identification of metabolites implicated in the discriminant model.
  • the generation of metabolism pathways hypothesis related to the discriminant model.
  • the acquisition of transcriptomics data to confirm and add complementary results to metabolomics data

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Case group selection criteria:

Inclusion criteria

  • Age ≥ 18 years and ≥ 75 years
  • ALS according to the El Escorial criteria
  • Patients affiliated to social security scheme
  • Informed consent signed by the patient

Exclusion criteria

  • Pregnant or breastfeeding women
  • Contraindication to biopsy
  • Contraindication to local anesthesia
  • Treatment with oral or injectable anticoagulants, antiplatelet (except aspirin)
  • Unbalanced Diabetes
  • Systemic corticosteroid treatment
  • Treatment against cramps or twitching may affect muscle metabolism

Control group selection criteria:

Inclusion criteria

  • Age ≥ 18 years and ≥ 75 years
  • No neuronal disease
  • Patients affiliated to social security scheme
  • Informed consent signed by the patient

Exclusion criteria

  • Pregnant or breastfeeding women
  • Contraindication to biopsy
  • Treatment with oral or injectable anticoagulants, antiplatelet (except aspirin)
  • Unbalanced Diabetes
  • Systemic corticosteroid treatment
  • Treatment against cramps or twitching may affect muscle metabolism

Treatment and study plan

Samples

Other

Blood samples, muscle biopsy

Primary outcomes

  1. Metabolic signature of muscle

    Time frame: At baseline

    Metabolomics profile using NMR and LC-HRMS

  2. Metabolic signature of blood

    Time frame: At baseline

    Metabolomics profile using NMR and LC-HRMS

  3. Metabolic signature of satellites cells

    Time frame: At baseline

    Metabolomics profile using NMR and LC-HRMS

Secondary outcomes

  1. Expression levels of targeted genes using transcriptomics

    Time frame: At baseline

    Choice of genes based on results obtained by metabolomics approaches

Sponsors and collaborators

Lead sponsor

University Hospital, Tours

Other

Registry information

Official study title

Metabolomics and Transcriptomics Approaches to Identify Muscular Biomarkers in Amyotrophic Lateral Sclerosis

Acronym: METABOMU

Important dates

Study start
2016
Primary completion
2019
Study completion
2019
First posted
Feb 1, 2016
Registry last updated
Dec 22, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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