The Art of Sequencing Disease-Modifying Therapies in Multiple Sclerosis

Over the past decade, therapeutic paradigms in multiple sclerosis have shifted toward a "hit-hard-and-early" approach to suppress inflammatory activity and delay progression. However, adverse events, safety concerns, aging, comorbidities, and life circumstances frequently necessitate treatment transitions during the patient journey. Sequencing decisions generally arise from 3 scenarios: insufficient efficacy, tolerability or safety issues, and conceptual considerations such as family planning or exit strategies for discontinuation. Discontinuation or de-escalation of therapy is associated with a significant risk of disease reactivation, particularly after lymphocyte-trafficking inhibitors, underscoring the importance of proactive transition planning to maintain disease control. Evidence suggests that treatment-specific immunologic effects strongly influence optimal sequencing. This narrative review synthesizes mechanistic insights and real-world clinical evidence to guide sequencing strategies for disease-modifying therapies (DMTs) in multiple sclerosis (MS), an increasingly relevant challenge in the era of early high-efficacy treatment. Following natalizumab, anti-CD20 monoclonal antibodies demonstrate superior control of relapse and MRI activity compared with sphingosine-1-phosphate receptor modulators (S1PRMs). Short transition intervals (<30 days) may minimize risk of rebound activity. After S1PRMs, rapid initiation of anti-CD20 therapies or cladribine seems effective, whereas prolonged washout periods increase relapse risk. Anti-CD20 therapies provide sustained suppression of inflammatory activity but are associated with long-term risks, including hypogammaglobulinemia and infections; cladribine may represent a viable exit strategy by enabling durable immune reconstitution. Platform therapies permit straightforward escalation without major rebound concerns, although lymphopenia must be considered when switching from dimethyl fumarate. Emerging Bruton tyrosine kinase inhibitors may further reshape sequencing paradigms, potentially functioning as maintenance therapies targeting compartmentalized inflammation after initial immune-depleting treatment. Future strategies will likely rely on close clinical and biomarker-based monitoring to individualize transitions and identify therapeutic windows. Overall, pragmatic sequencing that anticipates future switches and balances rebound risk against cumulative immunosuppression is essential for optimizing long-term outcomes in MS.

Authors

Institutions

Publication Details

Journal
Neurology Neuroimmunology & Neuroinflammation
Published
2026-07-16
DOI
https://doi.org/10.1212/nxi.0000000000200621
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Art of Sequencing Disease-Modifying Therapies in Multiple Sclerosis

Gabriel Bsteh, Heinz Wiendl, Steffen Pfeuffer, Rick Dersch
Neurology Neuroimmunology & Neuroinflammation
Multiple Sclerosis Research Studies
article

The Art of Sequencing Disease-Modifying Therapies in Multiple Sclerosis

Gabriel Bsteh, Heinz Wiendl, Steffen Pfeuffer, Rick Dersch
article en

Abstract

Over the past decade, therapeutic paradigms in multiple sclerosis have shifted toward a "hit-hard-and-early" approach to suppress inflammatory activity and delay progression. However, adverse events, safety concerns, aging, comorbidities, and life circumstances frequently necessitate treatment transitions during the patient journey. Sequencing decisions generally arise from 3 scenarios: insufficient efficacy, tolerability or safety issues, and conceptual considerations such as family planning or exit strategies for discontinuation. Discontinuation or de-escalation of therapy is associated with a significant risk of disease reactivation, particularly after lymphocyte-trafficking inhibitors, underscoring the importance of proactive transition planning to maintain disease control. Evidence suggests that treatment-specific immunologic effects strongly influence optimal sequencing. This narrative review synthesizes mechanistic insights and real-world clinical evidence to guide sequencing strategies for disease-modifying therapies (DMTs) in multiple sclerosis (MS), an increasingly relevant challenge in the era of early high-efficacy treatment. Following natalizumab, anti-CD20 monoclonal antibodies demonstrate superior control of relapse and MRI activity compared with sphingosine-1-phosphate receptor modulators (S1PRMs). Short transition intervals (<30 days) may minimize risk of rebound activity. After S1PRMs, rapid initiation of anti-CD20 therapies or cladribine seems effective, whereas prolonged washout periods increase relapse risk. Anti-CD20 therapies provide sustained suppression of inflammatory activity but are associated with long-term risks, including hypogammaglobulinemia and infections; cladribine may represent a viable exit strategy by enabling durable immune reconstitution. Platform therapies permit straightforward escalation without major rebound concerns, although lymphopenia must be considered when switching from dimethyl fumarate. Emerging Bruton tyrosine kinase inhibitors may further reshape sequencing paradigms, potentially functioning as maintenance therapies targeting compartmentalized inflammation after initial immune-depleting treatment. Future strategies will likely rely on close clinical and biomarker-based monitoring to individualize transitions and identify therapeutic windows. Overall, pragmatic sequencing that anticipates future switches and balances rebound risk against cumulative immunosuppression is essential for optimizing long-term outcomes in MS.

Neurology Neuroimmunology & NeuroinflammationVol. 13(5)
Justus-Liebig-Universität Gießen (DE), University Medical Center Freiburg (DE), Comprehensive Cancer Center Vienna (AT), MIND Research Institute (US), Medical University of Vienna (AT)
Openalex Percentile: Top 9%
Multiple Sclerosis Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.