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Intrathecally produced CXCL13: A predictive biomarker in multiple sclerosis.


ABSTRACT:

Background

Clinicians caring for patients with Multiple Sclerosis (MS) need improved biomarkers to aid them in disease management.

Objective

We assessed the predictive value of the candidate biomarker CXCL13 index in comparison to oligoclonal bands (OCBs) and CSF neurofilament light (NfL) concentration, examining the ability of each biomarker to predict future disease activity in clinically and radiologically isolated syndromes, relapsing-remitting MS, and progressive MS.

Methods

Matched serum and CSF samples were obtained from 67 non-inflammatory neurologic disease patients and 67 MS patients. CSF and serum CXCL13 and CSF NfL were analyzed by Luminex and ELISA, respectively. CXCL13 data were also analyzed as CSF/serum ratios and indices. Electronic medical records were accessed to determine diagnosis, CSF profiles, and disease activity after the lumbar puncture.

Results

Among CXCL13 measures, CXCL13 index was the best predictor of future disease activity in MS patients (AUC?=?0.82; CI?=?0.69-0.95; p?=?0.0002). CXCL13 index values were significantly elevated in activity-positive MS patients compared to activity-negative patients (p?ConclusionsThe CXCL13 index is an excellent candidate prognostic biomarker for disease activity in patients with MS.

SUBMITTER: DiSano KD 

PROVIDER: S-EPMC7747124 | biostudies-literature | 2020 Oct-Dec

REPOSITORIES: biostudies-literature

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Publications

Intrathecally produced CXCL13: A predictive biomarker in multiple sclerosis.

DiSano Krista D KD   Gilli Francesca F   Pachner Andrew R AR  

Multiple sclerosis journal - experimental, translational and clinical 20201001 4


<h4>Background</h4>Clinicians caring for patients with Multiple Sclerosis (MS) need improved biomarkers to aid them in disease management.<h4>Objective</h4>We assessed the predictive value of the candidate biomarker CXCL13 index in comparison to oligoclonal bands (OCBs) and CSF neurofilament light (NfL) concentration, examining the ability of each biomarker to predict future disease activity in clinically and radiologically isolated syndromes, relapsing-remitting MS, and progressive MS.<h4>Metho  ...[more]

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