Incidence and factors associated with treatment failure in the CLIMB multiple sclerosis cohort study

Prediction of disease activity and treatment failure in relapsing-remitting MS patients initiating daily oral DMTs

BACKGROUND

Limited data exist regarding treatment response prediction to oral disease-modifying therapies (DMTs) in multiple sclerosis (MS).

OBJECTIVES

We assessed the capacity of available scoring systems to anticipate disease activity parameters in naïve relapsing-remitting MS (RRMS) patients initiating daily oral DMTs, hypothesizing that they exhibit different predictive potentials.

METHODS

We conducted a retrospective study and applied the Rio Score (RS), modified Rio Score (mRS), and MAGNIMS Score 12 months after DMT initiation. At 36 months, we examined their ability to predict evidence of disease activity (EDA) components and treatment failure by logistic regression analysis.

RESULTS

Notably, 218 patients (62.4% females) initiating dimethyl fumarate, teriflunomide, and fingolimod were included. At 36 months, the RS high-risk group predicted evidence of clinical activity (odds ratio (OR) 10 [2.7-36.9]) and treatment failure (OR 10.6 [3.4-32.5]) but did not predict radiological activity (OR 1.9 [0.7-5]). The mRS non-responders group did not predict EDA and treatment failure. RS, mRS, and MAGNIMS 0 categories showed significantly lower EDA and treatment failure than the remainder.

CONCLUSION

Scoring systems present different predictive abilities for disease activity parameters at 36 months in MS patients initiating daily oral therapies, warranting further adjustments (i.e. introduction of fluid biomarkers) to depict disease activity status fully.

Impact of comorbid post traumatic stress disorder on multiple sclerosis in military veterans: A population-based cohort study

BACKGROUND

Very little is known regarding the impact of post traumatic stress disorder (PTSD) on the course of multiple sclerosis (MS).

OBJECTIVES

To explore the impact of pre-existing PTSD on MS relapses, magnetic resonance imaging (MRI) activity, and disability in a large population-based cohort.

METHODS

Military Veterans with MS and PTSD prior to symptom onset (MS_PTSD, n = 96) were identified using the Department of Veterans Affairs MS databases. MS_PTSD cases were matched to MS controls without PTSD (n = 95). Number of relapses, number of new T2 lesions and new gadolinium lesions on brain MRI, and neurological disability were abstracted between 2015 and 2019.

RESULTS

The mean annualized relapse rate was greater in the MS_PTSD group versus controls (0.23 vs 0.06, respectively; p < 0.05), as was the annualized mean number of new T2 and gadolinium-enhancing lesions on brain MRI (0.52 vs 0.16 and 0.29 vs 0.08, respectively; p < 0.05). Disability accrual (time to Disability Status Scale 6.0) was more rapid (23.7 vs 29.5 years, p < 0.05) in relapsing MS patients with PTSD.

CONCLUSION

Patients with MS_PTSD have higher disease activity and reach disability endpoints more rapidly than controls. This is the first study to show PTSD as a potentially modifiable risk factor for MS relapses, MRI activity, and disability.

Factors determining the treatment ineffectiveness in multiple sclerosis

BACKGROUND

In patients with multiple sclerosis (MS), the suboptimal response should be well evaluated at every step of treatment.

REVIEW SUMMARY

Determining patients with moderate or high activity and suboptimal response to treatment (clinical variables, MRI activity, perception of the patient and physician, side effects, serious risks, etc.) and timely intervention in the treatment are very important in achieving the desired effectiveness in the long term. Within the early stages, there is a limited time interval for effective treatment of MS patients. During this time, intervention is critical to achieve long-term positive results. After diagnosis, an early and individualized specific treatment for MS, depending on the severity of the disease, can prevent radiological and physical disability in the medium/long term.

CONCLUSIONS

With the emergence of a number of new treatments each with their own benefits and risks, a change in the nature of interactions between patients and MS physicians has been anticipated and will be required in the patient-related clinical decision-making process in the developing MS landscape.

Pharmacogenetic Predictors of Response to Interferon Beta Therapy in Multiple Sclerosis

First-line therapy with interferon beta (IFN-β), involved in gene expression modulation in immune response, is widely used for multiple sclerosis. However, 30-50% of patients do not respond optimally. Variants in CBLB, CTSS, GRIA3, OAS1 and TNFRSF10A genes have been proposed to contribute to the variation in the individual response. The purpose of this study was to evaluate the influence of gene polymorphisms on the IFN-β response in relapsing-remitting multiple sclerosis (RRMS) patients. CBLB (rs12487066), GRIA3 (rs12557782), CTSS (rs1136774), OAS1 (rs10774671) and TNFRSF10A (rs20576) polymorphisms were analysed by Taqman in 137 RRMS patients. Response to IFN-β and change in the Expanded Disability Status Scale (EDSS) after 24 months were evaluated using multivariable logistic regression analysis. Carriers of at least one copy of the C allele of CTSS-rs1136774 had a better response to IFN-β (p = 0.0423; OR = 2.94; CI95% = 1.03, 8.40). Carriers of TT genotype of TNFRSF10A-rs20576 had a higher probability of maintaining their EDSS stable after 24 months of IFN-β treatment (p = 0.0251; OR = 5.71; CI95% = 1.39, 31.75). No influence of CBLB (rs12487066), OAS1 (rs10774671) and GRIA3 (rs12557782) gene polymorphisms in the variation of the individual response to IFN-β was shown. Our results suggest that the TNFRSF10A-rs20576 and CTSS-rs1136774 gene polymorphisms influence the response to IFN-β after 24 months, while the CBLB (rs12487066), OAS1 (rs10774671) or GRIA3 (rs12557782) gene polymorphisms had no effect on the variation of the individual response to IFN-β.

Is computerized screening for processing speed impairment sufficient for identifying MS-related cognitive impairment in a clinical setting?

BACKGROUND

Annual screening for processing speed impairment (PSI) is recommended for patients with multiple sclerosis (pwMS). However, cognitive deficits in pwMS are heterogeneous, and whether PSI screening identifies patients with impairment in other cognitive domains is unclear. The objective of this study was to examine sensitivity and specificity of the self-administered, computerized Processing Speed Test (PST) in identifying cognitive impairment defined by a comprehensive neuropsychological battery (NPT).

METHODS

Ninety-one pwMS completed PST and NPT, with raw scores demographically adjusted. Cognitive impairment on NPT was defined as performance <5^th percentile in at least one domain. Receiver operating characteristic (ROC) analyses were performed to determine the ability of the PST to discriminate between cognitively normal (CN) and cognitively impaired with PSI (CI-PSI) and cognitively impaired with normal processing speed (CI-PSN) groups.

RESULTS

Cognitive impairment was observed in 23.1% of pwMS on PST and in 42.9% on NPT. PST demonstrated excellent ability to discriminate between CN (57.1%) and CI-PSI (20.9%) groups (Area Under the Curve [AUC] = 0.86, p < 0.001). In contrast, PST was unable to discriminate CN and CI-PSN (22.0%) groups (AUC = 0.42, p = 0.32).

CONCLUSION

The PST demonstrates excellent ability to detect PSI in pwMS but is unable to identify cognitively impaired pwMS without PSI, highlighting the importance of developing additional screening measures.

Interferon beta 1a (Rebif®) in relapsing remitting multiple sclerosis

Multiple sclerosis (MS) is an autoimmune neurodegenerative disease that affects the central nervous system. It is the second cause of neurological disability in young adults. The exact cause of the disease remains unknown and there is no curative treatment. It is imperative to evaluate the efficacy of newest, biotechnological products modifying the disease. This study was designed to evaluate the use of interferon beta 1a (Rebif®) in patients with relapsing remitting MS treated at International Center for Neurological Restoration. Thirty-one patients with relapsing remitting MS, between 10 and 65 years of age, four males and 27 females, were treated with Rebif® three times per week during 1 year. The safety of the treatment was evaluated based on the adverse events and the efficacy based on the disability scale score, the number of attacks and the number of lesions at magnetic resonance imaging (MRI). The public clinical trial is registered in Cuba (Number B-10-030-L03). Adverse effects occurred in 75% of the cases, but they were mild. A significant reduction in the number of attacks, the disability scale score and the number of lesions at MRI were observed in patients with relapsing remitting MS treated with Rebif®. The use of interferon beta 1a showed safety and efficacy in the treatment of patients with relapsing remitting MS.

Technology-enabled assessments to enhance multiple sclerosis clinical care and research

BACKGROUND

Comprehensive and efficient assessments are necessary for clinical care and research in chronic diseases. Our objective was to assess the implementation of a technology-enabled tool in MS practice.

METHOD

We analyzed prospectively collected longitudinal data from routine multiple sclerosis (MS) visits between September 2015 and May 2018. The MS Performance Test, comprising patient-reported outcome measures (PROMs) and neuroperformance tests (NPTs) self-administered using a tablet, was integrated into routine care. Descriptive statistics, Spearman correlations, and linear mixed-effect models were used to examine the implementation process and relationship between patient characteristics and completion of assessments.

RESULTS

A total of 8022 follow-up visits from 4199 patients (median age 49.9 [40.2-58.8] years, 32.1% progressive course, and median disease duration 13.6 [5.9-22.3] years) were analyzed. By the end of integration, the tablet version of the Timed 25-Foot Walk was obtained in 89.0% of patients and the 9-Hole Peg Test in 94.8% compared with 74.2% and 64.3%, respectively before implementation. The greatest increase in data capture occurred in processing speed and low-contrast acuity assessments (0% prior vs 78.4% and 36.7%, respectively, following implementation). Four PROMs were administered in 41%-98% of patients compared with a single depression questionnaire with a previous capture rate of 70.6%. Completion rates and time required to complete each NPT improved with subsequent visits. Younger age and lower disability scores were associated with shorter completion time and higher completion rates.

CONCLUSIONS

Integration of technology-enabled data capture in routine clinical practice allows acquisition of comprehensive standardized data for use in patient care and clinical research.

Cognitive processing speed in multiple sclerosis clinical practice: association with patient-reported outcomes, employment and magnetic resonance imaging metrics

BACKGROUND AND PURPOSE

To analyze the relationship between cognitive processing speed, patient-reported outcome measures (PROMs), employment and magnetic resonance imaging (MRI) metrics in a large multiple sclerosis cohort.

METHODS

Cross-sectional clinical data, PROMs, employment and MRI studies within 90 days of completion of the Processing Speed Test (PST), a technology-enabled adaptation of the Symbol Digit Modalities Test, were collected. MRI was analyzed using semi-automated methods. Correlations of PST score with PROMs and MRI metrics were examined using Spearman's rho. Wilcoxon rank sum testing compared MRI metrics across PST score quartiles and linear regression models identified predictors of PST performance. Effects of employment and depression were also investigated.

RESULTS

In 721 patients (mean age 47.6 ± 11.4 years), PST scores were significantly correlated with all MRI metrics, including cord atrophy and deep gray matter volumes. Linear regression demonstrated self-reported physical disability, cognitive function, fatigue and social domains (adjusted R²  = 0.44, P < 0.001) as the strongest clinical predictors of PST score, whereas that of MRI variables included T2 lesion volume, whole-brain fraction and cord atrophy (adjusted R²  = 0.42, P < 0.001). An inclusive model identified T2 lesion volume, whole-brain fraction, self-reported upper extremity function, cognition and social participation as the strongest predictors of PST score (adjusted R²  = 0.51, P < 0.001). There was significant effect modification by depression on the relationship between self-reported cognition and PST performance. Employment status was associated with PST scores independent of age and physical disability.

CONCLUSION

The PST score correlates with PROMs, MRI measures of focal and diffuse brain injury, and employment. The PST score is a feasible and meaningful measure for routine multiple sclerosis care.

Characteristics influencing therapy switch behavior after suboptimal response to first-line treatment in patients with multiple sclerosis

BACKGROUND

Factors driving disease-modifying therapy (DMT) switch behavior are not well understood.

OBJECTIVE

The objective of this paper is to identify patient characteristics and clinical events predictive of therapy switching in patients with suboptimal response to DMT.

METHODS

This retrospective study analyzed patients with relapsing-remitting multiple sclerosis (MS) and a suboptimal response to initial therapy with either interferon β or glatiramer acetate. Suboptimal responders were defined as patients with ≥1 MS event (clinical relapse, worsening disability, or MRI worsening) while on DMT. Switchers were defined as those who changed DMT within six to 12 months after the MS event.

RESULTS

Of 606 suboptimal responders, 214 (35.3%) switched therapy. Switchers were younger at symptom onset (p = 0.012), MS diagnosis (p = 0.004), DMT initiation (p < 0.001), and first MS event (p = 0.011) compared with nonswitchers. Compared with one relapse alone, MRI worsening alone most strongly predicted switch behavior (odds ratio 6.3; 95% CI, 3.1-12.9; p < 0.001), followed by ≥2 relapses (2.8; 95% CI, 1.1-7.3; p = 0.040), EDSS plus MRI worsening (2.5; 95% CI, 1.1-5.9; p = 0.031) and EDSS worsening alone (2.2; 95% CI, 1.2-4.1; p = 0.009).

CONCLUSIONS

Younger patients with disease activity, especially MRI changes, are more likely to have their therapy switched sooner than patients who are older at the time of MS diagnosis and DMT initiation.

Evaluation of circulating osteopontin levels in an unselected cohort of patients with multiple sclerosis: relevance for biomarker development

BACKGROUND

Osteopontin (OPN) is a pleiotropic protein with important roles in inflammation and immunity that has been suggested as a candidate biomarker for disease activity in multiple sclerosis (MS).

OBJECTIVE

We evaluated plasma levels of OPN in an unselected cohort of MS patients, to determine its potential as a biomarker for disease subtype and/or disease activity in a regular clinical setting.

METHODS

We analyzed OPN plasma levels in 492 consecutive MS patients, using a commercial enzyme-linked immunosorbent assay (ELISA).

RESULTS

OPN levels were higher in relapsing-remitting and secondary progressive MS, compared to healthy controls. Treatment with natalizumab or glatiramer acetate was associated with lower OPN levels. There was no significant association between the OPN levels and disease activity, as measured by clinical or radiological criteria. One-third of patients with high OPN levels had concurrent disorders that may also be associated with increased OPN expression, and which may mask a modest effect of MS disease activity on OPN levels.

CONCLUSION

Our data do not support a role for circulating OPN levels as a biomarker for disease activity in a heterogeneous clinical setting, but does not rule out a potential role in the cerebrospinal fluid, in a controlled setting such as a clinical trial, or in concert with other biomarkers.

Consensus guidelines for the diagnosis and treatment of multiple sclerosis

The diagnosis of multiple sclerosis (MS) is dependent on the presence of clinical and paraclinical evidence demonstrating dissemination of central nervous system lesions in both space and time, as well as the exclusion of other disorders. Diagnostic criteria were originally promulgated in 1965 by the Schumacher committee and modified subsequently by the Poser committee to include paraclinical evidence. The most recent criteria are the 2010 modifications of the 2001 McDonald criteria, which are focused on making an earlier diagnosis of MS. This article provides guidelines, derived from clinical experience as well as evidence-based medicine, for the diagnosis and management of MS with special emphasis on practices in the Middle East.

Axial 3D gradient-echo imaging for improved multiple sclerosis lesion detection in the cervical spinal cord at 3T

INTRODUCTION

In multiple sclerosis (MS), spinal cord imaging can help in diagnosis and follow-up evaluation. However, spinal cord magnetic resonance imaging (MRI) is technically challenging, and image quality, particularly in the axial plane, is typically poor compared to brain MRI. Because gradient-recalled echo (GRE) images might offer improved contrast resolution within the spinal cord at high magnetic field strength, both without and with a magnetization transfer prepulse, we compared them to T2-weighted fast-spin-echo (T2-FSE) images for the detection of MS lesions in the cervical cord at 3T.

METHODS

On a clinical 3T MRI scanner, we studied 62 MS cases and 19 healthy volunteers. Axial 3D GRE sequences were performed without and with off-resonance radiofrequency irradiation. To mimic clinical practice, all images were evaluated in conjunction with linked images from a sagittal short tau inversion recovery scan, which is considered the gold standard for lesion detection in MS. Two experienced observers recorded image quality, location and size of focal lesions, atrophy, swelling, and diffuse signal abnormality independently at first and then in consensus.

RESULTS

The number and volume of lesions detected with high confidence was more than three times as high on both GRE sequences compared to T2-FSE (p < 0.0001). Approximately 5 % of GRE scans were affected by artifacts that interfered with image interpretation, not significantly different from T2W-FSE.

CONCLUSIONS

Axial 3D GRE sequences are useful for MS lesion detection when compared to 2D T2-FSE sequences in the cervical spinal cord at 3T and should be considered when examining intramedullary spinal cord lesions.

Switching and escalating therapy in long-lasting multiple sclerosis: not always necessary

Although therapy switch is common among patients with multiple sclerosis (MS), sometimes the initial prescribed treatment is maintained for a long period with clinical stability, low disability, and nonsignificant side effects. We aim to describe demographic and clinical characteristics of patients treated in our MS clinic with the same disease-modifying drug (DMD) lasting for >12 years. From the cohort of 51 patients followed in our MS clinic with relapse-remitting MS who started an DMD between 1996 and 1999, we found a high percentage (51%) of patients who were efficiently treated with the first DMD. These patients were mainly females, with low annualized relapse rate and Multiple Sclerosis Severity Score (MSSS). Our results may be related to the open and multidisciplinary model of our MS clinic organization. Identifying characteristics associated with therapy persistence may be useful in developing strategies to improve therapy effectiveness.

Early predictors of non-response to interferon in multiple sclerosis

OBJECTIVE

To identify early clinical and MRI predictors of non-response to interferon (IFN) treatment in multiple sclerosis (MS).

METHODS

In 172 patients with relapsing-remitting MS treated with IFNβ, we evaluated prediction of future treatment non-response. Candidate predictors comprised disability and its sustained progression, relapse score (combining frequency and severity of relapses), brain volume change, brain parenchymal fraction, number of new T2 lesions, and T2 and T1 lesion volume within the initial year of treatment. Treatment non-response was evaluated as confirmed disability progression or overall average annual relapse score exceeding 1 over the following 5 years. Logistic regression model was adjusted for patient age, gender, disease duration and changes in treatment.

RESULTS

Ninety patients (52%) reached the status of IFN non-responders in years 2-6. Patients with ≥1 new T2 lesion and relapse score ≥2 (odds ratio ≥5.7) or those with ≥3 new T2 lesions regardless of the relapse score (odds ratio = 3) were in a significantly higher risk of future treatment non-response.

CONCLUSIONS

In patients with MS treated with IFNβ for 1 year, number of new T2 lesions and annualized relapse score predict individual risk of treatment non-response over the following 5 years.

Allelic combinations of immune-response genes as possible composite markers of IFN-β efficacy in multiple sclerosis patients

Background: IFN-β is widely used as the first-line disease-modifying treatment for multiple sclerosis. However, 30–50% of multiple sclerosis patients do not respond to this therapy. Identification of genetic variants and their combinations that predict responsiveness to IFN-β could be useful for treatment prognosis. Materials & methods: The combinations of alleles of nine polymorphic loci in immune-response genes were analyzed in 253 Russian multiple sclerosis patients as possible determinants of clinically optimal IFN-β treatment response using APSampler software. Results: Carriage of TGFB1*-509C and CCR5*d was associated with favorable IFN-β response by itself. CCR5*d, IFNAR1*16725G, IFNG*874T and IFNB1*153T/T were the components of the combinations, associated with clinically optimal response to IFN-β. Carriage of composite markers (CCR5*d + IFNAR1*G + IFNB1*T/T) or (CCR5*d + IFNAR1*G + IFNG*T) is beneficial for IFN-β treatment efficacy. Discussion: The data obtained provides evidence of the cumulative effect of immune-response genes on IFN-β treatment efficacy. This joint contribution may reflect the additive effect of independent allelic variants and epistatic interactions between some of them.

Original submitted 2 July 2012; Revision submitted 21 September 2012

Neuroimaging in multiple sclerosis: neurotherapeutic implications

Imaging techniques, in particular magnetic resonance imaging (MRI), play an important role in the diagnosis and management of multiple sclerosis (MS) and related demyelinating diseases. Findings on MRI studies of the brain and spinal cord are critical for MS diagnosis, are used to monitor treatment response and may aid in predicting disease progression in individual patients. In addition, results of imaging studies serve as essential biomarkers in clinical trials of putative MS therapies and have led to important insights into disease pathophysiology. Although they are useful tools and provide in vivo measures of disease-related activity, there are some important limitations of MRI findings in MS, including the non-specific nature of detectable white matter changes, the poor correlation with clinical disability, the limited sensitivity and ability of standard measures of gadolinium enhancing lesions and T2 lesions to predict future clinical course, and the lack of validated biomarkers of long term outcomes. Advancements that hold promise for the future include new techniques that are sensitive to diffuse changes, the increased use of higher field scanners, measures that capture disease related changes in gray matter, and the use of combined structural and functional imaging approaches to assess the complex and evolving disease process that occurs during the course of MS.

Disease-modifying therapies in relapsing-remitting multiple sclerosis

CLINICAL QUESTION

What is the best current disease-modifying therapy for relapsing-remitting multiple sclerosis?

RESULTS

The evidence shows that the most effective disease-modifying therapy for delaying short- to medium-term disability progression, prevention of relapses, reducing the area and activity of lesions on magnetic resonance imaging, with the least side effects, is high-dose, high-frequency subcutaneous interferon-β1a 44 μg three times per week.

IMPLEMENTATION

The pitfalls in treatment of MS can be avoided by remembering the following points: The most effective therapy to prevent or delay the appearance of permanent neurological disability with the fewest side effects should be chosen, and treatment should not be delayed.Adherence to treatment should be monitored closely, and needs comprehensive patient information and education to establish long-term adherence, which is a critical determinant of long-term outcome.The correct approach to the disease includes disease management, symptom management, and patient management. A combination of tools is necessary to ease the various symptoms, which fall into three broad categories, i.e. rehabilitation, pharmacological, and procedural.It is important to understand that no treatment modality should be used alone, unless it is in itself sufficient to remedy the particular symptom/problem.

A method for evaluating treatment switching criteria in multiple sclerosis

Background and Objective: We investigated a method to evaluate a treatment switching approach, namely treatment change after one multiple sclerosis (MS) relapse.

Methods: Patients who experienced a relapse while on a first-line disease-modifying therapy, glatiramer acetate, were identified. Based on their subsequent course, patients were divided into two groups: those who changed treatment and those who did not. Patients were allowed to change to any other treatment. Subsequent annualized relapse rate and time to next relapse were compared in the two groups. Since patients were not randomized to treatment group, negative binomial and Cox regression models were used to control for several potential clinical confounders, including relapse severity, relapse duration, age, disease duration and presence of previous/combination therapy. In addition, an inverse probability of treatment weighting model was used to control for confounding. Several secondary analyses investigated patient subgroups.

Results: Statistical modeling showed that there was no significant difference between groups in terms of relapse rate (rate ratio; 95% CI = 0.68; 0.35, 1.31) and time to next relapse (hazard ratio; 95% CI = 0.61; 0.30, 1.25). All secondary analyses confirmed these results. In addition, no significant difference in time to sustained progression on the Expanded Disability Status Scale was observed ( p > 0.05). Our approach allowed investigation of the choice to change treatment after a relapse. Conclusions: Our results showed that a single relapse may not be sufficient to indicate treatment failure. Although clinical confounders were addressed in our modeling, unmeasured confounders, particularly the presence of magnetic resonance imaging activity, may have biased our conclusion.

Risks vs benefits of glatiramer acetate: a changing perspective as new therapies emerge for multiple sclerosis

An understanding of the risks, benefits, and relative value of glatiramer acetate (GA) in multiple sclerosis (MS) has been evolving based on recently completed head-to-head studies: REGARD (REbif vs Glatiramer Acetate in Relapsing MS Disease); BEYOND (Betaseron Efficacy Yielding Outcomes of a New Dose); and BECOME (BEtaseron vs COpaxone in Multiple Sclerosis with Triple-Dose Gadolinium and 3-Tesla MRI Endpoints). Outcomes in the primary endpoints of these trials showed no significant differences between GA and high-dose beta-interferons (IFNβs). Results of the PreCISe (Early GA Treatment in Delaying Conversion to Clinically Definite Multiple Sclerosis [CDMS] in Subjects Presenting With a Clinically Isolated Syndrome [CIS]) trial led to the US Food and Drug Administration approval of GA in patients with a CIS. Furthermore, the ongoing follow-up study to the original pivotal GA trial, now extending beyond 15 years, continues to support the safety of GA. Currently, GA and IFNβs are no longer the only immunomodulators available for MS. Introduction of the monoclonal antibody, natalizumab (Tysabri^®; Biogen Idec, Inc., Cambridge, MA, USA) provides an alternative immunomodulator for MS and has changed the therapeutic landscape dramatically. However, the rare but serious cases of progressive multifocal leukoencephalopathy that have occurred with natalizumab have raised concerns among clinicians and patients about using this agent and some of the emerging agents. The potential risks and benefits of the emerging therapies (cladribine, alemtuzumab, rituximab, fingolimod, laquinimod, teriflunomide, and dimethyl fumarate) based on phase II/III trials, as well as their use for indications other than MS, will be presented. This review provides available data on GA, natalizumab, and the emerging agents to support new developments in our understanding of GA and how its long-standing role as a first-line therapy in MS will evolve within the increasingly complex MS therapeutic landscape.