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Completed

NCT Number: NCT04496830

SPINCOMS Biomarker Study

To determine if biomarker-based CSF testing is reliably detecting differences between patients with Multiple Sclerosis (MS), different MS-subtypes, and other central nervous system (CNS) diseases. This study will also look to identify biomarkers that could be used for the prediction, at the time of diagnosis, of the future disease clinical course and response to therapy. The SOMAscan assay will be used for CSF samples analysis.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Washington University in St Louis

St Louis, Missouri, 63110, United States

About this study

Using machine learning, the investigators have developed from SOMAScan:

  • A molecular diagnostic test that differentiates MS from other inflammatory and non-inflammatory central nervous system (CNS) diseases (area under receiver-operator characteristic curve-AUROC of 0.98);
  • A molecular test that differentiates relapsing-remitting MS from progressive MS variants (AUROC of 0.91); and
  • A molecular test that predicts future rates of disability progression, concordance coefficient of 0.425 (p<0.001).

Because these results are derived from a single research center (NIAID/NDS), it is imperative to determine their performance in real clinical practice settings as a necessary step for their potential regulatory approval.

Consequently, his application has 2 specific aims:

AIM 1. To independently validate afore-mentioned CSF-biomarker-based tests for their clinical value within the multicenter Spinal fluid Consortium for MS (SPINCOMS). In Aim 1, each of the 3 defined tests will be validated in 100 new SPINCOMS patients. To validate the prognostic test, 100 MS patients with CSF collected at least 3 years ago will be evaluated at follow-up examination with standardized clinical outcomes. CSF will be analyzed blinded using pre-defined statistical models.

AIM 2. To explore whether collected CSF-biomarkers point towards pathogenic heterogeneity that may predict patient-specific efficacy for different disease-modifying treatments (DMTs) or identify pathogenic mechanisms not targeted by current DMTs. In Aim 2, clustering analysis will assess pathogenic heterogeneity and explore potential predictors of response to therapy.

Who can participate

Healthy volunteers accepted: No

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

MS Patients selection criteria

  • Lumbar puncture (LP) in the untreated stage with cryopreserved CSF (serum/blood optional) with consent to use it for future research
  • ≥ 3 and ≤ 10 years of follow-up from LP
  • At time of LP untreated and not treated with steroid or off steroids ≥ one month
  • Available/willing to come for in-person follow-up
  • Available/willing to sign the NIH 09-I-0032 "Sample processing only" consent form
  • Diagnosis of MS based on 2017 McDonald criteria at time of follow-up visit

Non-MS Patients selection criteria Required: 25 Non-Inflammatory Neurological Disease (NIND), 25 Other Inflammatory Neurological Disease (OIND)

  • Lumbar puncture (LP) in the untreated stage with cryopreserved CSF (serum/blood optional) with consent to use it for future research
  • ≥ 3 and ≤ 10 years of follow-up from LP
  • At time of LP untreated and not treated with steroid or off steroids ≥ one month
  • Up to date contact information
  • Available/willing to sign the NIH 09-I-0032 "Sample processing only" consent form
  • Diagnosis:

NIND: e.g., ischemic-gliotic changes, CADASIL and other leukodystrophies, migraines, ischemic spinal cord lesions etc OIND: e.g. CNS Sjogren's, SLE, vasculitis, CNS infections, MOG-associated disorders, NMO spectrum disorders (NMOSD)

Treatment and study plan

Primary outcomes

  1. Biomarker Predicted Outcomes against NeurEx-based outcomes

    Time frame: 3 years

    CSF-biomarker-predicted outcomes against measured NeurEx-based outcomes, considering a Bonferroni-adjusted significance level 0.05/3 = 0.017 (to adjust for 3 tests).

  2. MS Severity Model Analyses

    Time frame: 3 years

    As secondary analyses of MS severity model,assessment of correlations between CSF-biomarker-predicted outcomes and more traditional MS outcomes. Specifically, correlate CSF-biomarker-based scores of MS severity and MSSS, ARMSSS and by MS-DSS, calculated from the follow-up visit scores. Based on power calculations, 100 relevant patients/classifier will provide > 90% power to externally validate all 3 Somascan CSF-biomarker-based models.

Sponsors and collaborators

Lead sponsor

Washington University School of Medicine

Other

Collaborators

  • Montana State University
  • National Institute of Allergy and Infectious Diseases (NIAID)
  • University of Colorado, Denver
  • University of Ottawa

Registry information

Official study title

Cerebrospinal Fluid-biomarkers-based Diagnostic and Prognostic Models for Multiple Sclerosis

Acronym: SPINCOMS

Important dates

Study start
2020
Primary completion
2023
Study completion
2023
First posted
Aug 3, 2020
Registry last updated
Sep 11, 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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