Predictors of Response to Multiple Sclerosis Therapeutics in Individual Patients

Abstract

Multiple sclerosis (MS) is a chronic inflammatory disorder of the central nervous system. Several disease-modifying therapies have been shown to ameliorate the disease course; however, the individual treatment response and the occurrence of adverse events remain highly unpredictable. In the last 2 decades, a multitude of studies have aimed to identify biomarkers that enable treatment allocation in the individual patient or subgroup of patients with regard to treatment efficacy and safety profile. Following a PubMed database search, we provide an overview on what is presently known about body fluid markers for the prediction of response to the currently approved MS therapeutics. We also discuss the potential use of biomarkers with regard to drug-induced adverse events. To date, only a few molecules have been introduced in clinical routine: anti-drug antibodies against interferon (IFN)-β and natalizumab that are associated with abolished drug levels and treatment failure; anti-JC virus (JCV) antibody index that allows risk stratification for the development of progressive multifocal leukoencephalopathy (PML), a rare but severe adverse event during natalizumab treatment; and serostatus of varicella zoster virus as screening examination prior to fingolimod therapy to prevent the infection. A few candidate biomarkers still need closer examination, such as type I IFN signature and T-helper cell (Th)-17 reactivity for prediction of IFN-β treatment response, L-selectin expression for prediction of natalizumab-associated PML, interleukin (IL)-21 levels for prediction of secondary autoimmunity after exposure to alemtuzumab, lymphocyte count with regard to PML risk while receiving dimethyl fumarate or N-terminal-pro-B-type natriuretic peptide (NT-proBNP) for monitoring of cardiac side effects during mitoxantrone therapy.