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RecruitingNCT05056740CyBIRDUpdated Jun 26, 2026

Combined Analysis of Inflammatory Biomarkers for CNS Autoimmune Diseases Diagnostic

An observational study in Central Nervous System Diseases, sponsored by Centre Hospitalier Universitaire de Nice. Recruiting at 1 site in France. Per ClinicalTrials.gov, last updated 2026-06-26.

Sponsored by Centre Hospitalier Universitaire de Nice · Observational

From the registry’s dates

  • Started Jun 2020; still recruiting 6 years 4 months later.
Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
300
Sex
All
01

Study summary

Project rationale:

Since 2017, multiple sclerosis diagnosis should match the new McDonald criteria in which a "no better explanation than MS" should be fulfilled. However, many patients present with red flags that lead to a complex diagnostic work-up. There are no available biomarkers that permit to confirm or roll out MS diagnosis in such cases. Therefore, we lack biological markers that can help in the diagnosis of patients presenting with suspected MS.

Many studies have found that serum and cerebrospinal fluid (CSF) cytokines could help to differentiate MS from other diseases such as neuromyelitis optica spectrum disorders (i.e., IL-6) or neurosarcoidosis (i.e., sIL-2R). Serum and CSF kappa free light chains have also shown good diagnosis performance in MS. In daily practice, our MS tertiary center already perform the analysis of CSF concentrations of IL-1β, sIL-2R, IL-6, IL-10, and serum and CSF kappa and lambda free light chains to roll out other central nervous system (CNS) autoimmune diseases in patients presenting with white matter hyperintensities (WMH).

Objective:

To correlate CSF IL-1β, sIL-2R, IL-6, IL-10, serum and CSF kappa and lambda free light chains with the final diagnosis in patients presenting to our MS tertiary center with suspected MS to identify a specific inflammatory biomarker profil involved in MS and other CNS autoimmune diseases.

The methodology:

This is an observational study. All patients ongoing a routine diagnostic work-up for suspected MS from june 2020 to june 2022 in our MS tertiary center will be analyzed. Cerebrospinal fluid IL-1β, sIL-2R, IL-6, IL-10, serum and CSF kappa and lambda free light chains will be correlated with the final diagnosis to ultimately find MS associated biomarkers.

02

Conditions studied

  • Central Nervous System Diseases
03

In context

Central Nervous System Diseases

253 studies on the registry are indexed under Central Nervous System Diseases; 91 are open to participants now.

This study's planned enrollment of 300 is above the median of 150 across 58 observational studies indexed under Central Nervous System Diseases.

Browse Central Nervous System Diseases studies →

Lead sponsor

Centre Hospitalier Universitaire de Nice is the lead sponsor of 709 studies on the registry; 176 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

All patients referred to our MS tertiary center for the diagnostic work-up of white matter hyperintensities suggestive of underlying inflammatory demyelinating disease

Inclusion criteria

  • Patients referred to our center for the diagnostic work-up of White Matter Lesions
  • Patients that need a routine blood analysis
  • Patients that need a routine CSF analysis
  • Non opposition to research consent

Exclusion criteria

Exclusion Criteria:

  • Patients with a contraindication to perform spinal tap (increase bleeding risk medicine or disease)
  • Patients with a contraindication to MRI (metal prosthesis…)
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Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
300 participants (estimated)
Patient registry
No

Groups and cohorts

  • MS

    Patients with a definite MS diagnosis according to the 2017 McDonald criteria

    Biological: Data analysis

  • Red-flag MS

    Patients presenting with clinical, radiological or biological red flags for MS diagnosis who will be ultimately diagnosed as having MS

    Biological: Data analysis

  • Other CNS autoimmune diseases

    Patients with a definite diagnostic of CNS autoimmune disease that is not MS

    Biological: Data analysis

  • Controls

    Patients with a definite diagnostic of non-inflammatory CNS disorder

    Biological: Data analysis

Interventions

  • BiologicalData analysis

    Analysis of the data from routine care at the end of the diagnostic work-up

06

What researchers measure

Primary outcomes

  1. Identify specific biomarkers profil in MS group

    Quantification in each group of patients of IL-1beta, soluble receptor of IL-2, IL-6 and IL-10 by ELISA and cerebrospinal fluid/serum kappa and lambda free light chains by using the turbidimetric analyzer Optilite (BindingSite).

    Time frame: 1 day

Secondary outcomes

  1. To define the diagnosis performance of "Central vein sign (CVS)" in Radiologically Isolated Syndrome subjects compared to MS patients and patients with WM abnormalities of another origin.

    Proportion of CVS positive lesions in each group.

    Time frame: 1 day

07

Study locations

1 of 1 sites recruiting
  • Centre Hospitalier Universitaire de Nice
    Nice, France
    Recruiting
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 26, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05056740
Lead sponsor
Centre Hospitalier Universitaire de Nice
Responsible party
Sponsor
First posted
Sep 24, 2021
Start date
Jun 1, 2020
Primary completion
Apr 1, 2023
Completion
Jun 25, 2027 (estimated)
Last update
Jun 26, 2026

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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