Abstract

Background: The clinical course of multiple sclerosis ranges from benign with little disease progression and minimal disability, to severe disease requiring intensive medical treatment. There are no reliable circulating biomarkers for predicting disease outcome. Co-inhibitory receptors regulate the termination of effective immune responses to infections while limiting autoimmunity and/or immunopathology. Based on this, we studied the potential of circulating co-inhibitory receptor levels as predictive biomarkers of multiple sclerosis outcome.Methods: Co-inhibitory receptor [TIGIT (T cell immunoreceptor with Ig and ITIM domains), TIM-3 (T-cell immunoglobulin and mucin domain–containing 3), LAG-3 (lymphocyte activation gene 3), PD-1 (programmed cell death 1), CTLA-4 (cytotoxic T-lymphocyte–associated protein 4)] expression levels in peripheral blood mononuclear cells (PBMCs) were measured using reverse transcription–PCR in 19 healthy controls and 57 patients with untreated multiple sclerosis. All patients were evaluated for disease outcome and paraclinical measures during the following 9–10 years [progression index, Expanded Disability Status Scale (EDSS) score, number of relapses, number of disease modifying therapies (DMTs), baseline brain magnetic resonance imaging T2 lesion volume, and oligoclonal bands (OCBs)].Results: Patients had significantly lower TIGIT and LAG-3 levels than the controls (P < 0.02 and P < 0.04, respectively). TIM-3 levels were significantly lower in patients with high vs. low disability index and in patients with SPMS diagnosis compared to patients who remained in the relapsing stage of the disease at final visit (both, P < 0.02). LAG-3 levels were significantly higher in patients with low disability index vs. non-low disability index multiple sclerosis (P < 0.05). TIM-3 and LAG-3 expression levels correlated significantly with 1-year progression index (r2 = 0.076, P < 0.05; 0.087, P < 0.04, respectively) and EDSS score at final visit (r2 = 0.31, P < 0.04; 0.320.088, P < 0.04, respectively). Lower LAG-3 levels were associated with higher DMT switching (r2 = 0.67, P < 0.05). Compared to the paraclinical and clinical parameters alone, the combined data of the baseline co-inhibitory receptor expression levels and the paraclinical and clinical parameters were superior for predicting the patients that would progress to secondary progressive multiple sclerosis (SPMS).Interpretation: This is an initial exploration of the utility of CTLA-4, PD-1, TIM-3, LAG-3, and TIGIT expression levels as prognostic indicators in untreated, recently diagnosed multiple sclerosis. Our results support the value of decreased PBMC expression levels of TIM-3 and LAG-3 at diagnosis as an unfavorable prognostic factor, which is to be confirmed in further studies.

Highlights

  • Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system (CNS) directed against myelin proteins

  • When the MS patients were grouped according to oligoclonal bands (OCBs) status, there was a trend toward decreased TIGIT expression in OCB-positive patients (0.48 fold changes (FCs)) compared to OCB-negative patients (0.70 FC) (P = 0.06, Figure 1B)

  • We found that patients with secondary progressive MS (SPMS) at the final visit had significantly lower levels of TIM-3 and a trend toward lower LAG-3 levels compared to patients who remained in the relapsing stage (SPMS vs. relapsing remitting disease (RRMS): 1 FC vs. 1.7 FC, P < 0.02, 1 FC vs. 1.45 FC, P < 0.06 TIM-3 and LAG-3, respectively, Figure 2D)

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Summary

Introduction

Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system (CNS) directed against myelin proteins. MS is highly heterogeneous, as reflected by large variability in its clinical course, timing of relapses, and rate of disability progression. The heterogeneity of the disease process complicates MS management, as the individual patient’s disease course cannot be anticipated at diagnosis. The clinical course of multiple sclerosis ranges from benign with little disease progression and minimal disability, to severe disease requiring intensive medical treatment. There are no reliable circulating biomarkers for predicting disease outcome. We studied the potential of circulating co-inhibitory receptor levels as predictive biomarkers of multiple sclerosis outcome

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