Emerging Role of BTK Inhibitors in Multiple Sclerosis: From Immunobiology to Clinical Translation
Highlights
- BTK inhibitors significantly reduce relapse activity and MRI disease burden in multiple sclerosis.
- Hepatotoxicity remains a clinically relevant safety concern across trials.
- BTK inhibition offers a dual mechanism targeting peripheral immunity and CNS-compartmentalized inflammation.
- Long-term clinical adoption will depend on improved CNS penetration and safety optimization.
Abstract
1. Introduction
1.1. Biology of Bruton’s Tyrosine Kinase (BTK)
1.1.1. BTK Structure and Signaling
- Pleckstrin homology (PH) domain: Located at the N-terminus, this domain binds phosphatidylinositol-3,4,5-trisphosphate (PIP3), facilitating the recruitment of BTK to the plasma membrane, where upstream signaling events occur.
- Tec homology (TH) domain: This region contributes to structural stability and supports interactions with adaptor proteins involved in signal transduction.
- Src homology 3 (SH3) domain: Mediates protein–protein interactions by binding to proline-rich motifs in partner proteins.
- Src homology 2 (SH2) domain: This domain recognizes and binds phosphorylated tyrosine residues on signaling proteins, enabling the assembly of signaling complexes and contributing to the regulation of BTK activation.
- Kinase (SH1) domain: Located at the C-terminus, this catalytic domain is responsible for BTK’s enzymatic activity, phosphorylating target proteins on tyrosine residues and thereby propagating intracellular signaling pathways that regulate immune cell activation, proliferation, and survival [9].
1.1.2. BTK-Dependent Pathways
- Engagement of immune receptors such as the B-cell receptor (BCR), Toll-like receptors (TLRs), Fc receptors, or cytokine and chemokine receptors by their respective ligands initiates intracellular signaling cascades.
- This stimulation activates phosphoinositide 3-kinase (PI3K), which catalyzes the conversion of phosphatidylinositol-4,5-bisphosphate (PIP2) into phosphatidylinositol-3,4,5-trisphosphate (PIP3).
- The PH domain of BTK exhibits high affinity for PIP3, promoting its recruitment to the plasma membrane and inducing conformational changes that expose the kinase domain.
- BTK is subsequently phosphorylated at tyrosine residue Y551 by Src-family kinases (e.g., Lyn, Fyn, Hck, or Syk-associated kinases), resulting in a substantial increase in its catalytic activity.
- Cell proliferation through activation of MAPK signaling pathways.
- Protein synthesis and metabolic regulation via the mTOR pathway.
- Calcium signaling and NFAT activation mediated by PLCγ2.
- Cell survival and inflammatory responses driven by NF-κB signaling.
1.2. Role of BTK-Expressing Cells in MS Pathogenesis
1.2.1. B Cells Beyond Antibody Production
1.2.2. Myeloid Cells and Microglia
2. Methods
2.1. Eligibility Criteria
2.2. Selection Process
2.3. Data Extraction
2.4. Quality Assessment
2.5. Statistical Analyses
3. Results
3.1. Study Selection
3.2. Study Characteristics
3.3. Safety: Serious Hepatotoxicity
3.4. Efficacy: Relapse Outcomes
3.5. Magnetic Resonance Imaging (MRI) Outcomes
3.6. Disability Outcomes
4. Discussion
4.1. Study Limitations
4.2. Clinical Implications
4.3. Future Research
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
| ALT | Alanine Aminotransferase |
| ARR | Annualized Relapse Rate |
| ATP | Adenosine Triphosphate |
| BBB | Blood–Brain Barrier |
| BCR | B-cell Receptor |
| BTK | Tyrosine Kinase |
| BTKi | Bruton Tyrosine Kinase Inhibitors |
| CCL9 | C-C Motif Chemokine Ligand 9 |
| CD20 | Cluster of Differentiation 20 |
| CDW | Confirmed Disability Worsening |
| CDP | Confirmed Disability Progression |
| CI | Confidence Interval |
| CNS | Central Nervous System |
| CSF | Cerebrospinal Fluid |
| cCDP12 | Composite Confirmed Disability Progression (at 12 months) |
| CXCL13 | C-X-C Motif Chemokine Ligand 13 |
| DILI | Drug-Induced Liver Injuries |
| EDSS | Expanded Disability Status Scale |
| ELTs | Ectopic Lymphoid Tissues |
| FDA | Food and Drug Administration |
| Fcε | Fragment crystallizable epsilon |
| Fcγ | Fragment crystallizable gamma |
| Gd+ | Gadolinium-enhancing (lesions) |
| GM-CSF | Granulocyte-Macrophage Colony-Stimulating Factor |
| HEDMTs | High-Efficacy Disease-Modifying Therapies |
| HLA-DR | Human Leukocyte Antigen-DR isotype |
| IC50 | Half-Maximal Inhibitory Concentration |
| IC90 | Inhibitory Concentration at 90% |
| IgE | Immunoglobulin E |
| IgG | Immunoglobulin G |
| IL-1 | Interleukin-1 |
| IL-6 | Interleukin-6 |
| LTO | Lymphoid Tissue Organizer cells |
| LTα | Lymphotoxin alpha |
| MAPs | Mitogen-Activated Protein Kinases |
| MRI | Magnetic Resonance Imaging |
| mTOR | Mechanistic Target of Rapamycin |
| NF- | Nuclear factor kappa-light-chain-enhancer of activated B cells |
| κB | Nuclear Factor of Activated T-cells |
| NFAT | Non-Relapsing Secondary Progressive Multiple Sclerosis |
| nrSPMS | Pleckstrin Homology (domain) |
| PH | Phosphatidylinositol 4,5-bisphosphate |
| PIP2 | Phosphatidyl Inositol Triphosphate Progression |
| PIP3 | Independent of Relapse Activity Phospholipase |
| PIRA | C gamma 2 |
| PLCγ2 | Primary Progressive Multiple Sclerosis |
| PPMS | Preferred Reporting Items for Systematic Reviews and |
| PRISA | Meta-Analyses |
| PRLs | Paramagnetic Rim Lesions |
| PROSPER | International Prospective Register of Systematic Reviews |
| RCTs | Randomized Controlled Trials |
| RMS | Relapsing Multiple Sclerosis |
| RoB2 | Risk of Bias 2 |
| ROS | Reactive Oxygen Species |
| RR | Relative Risk |
| RRMS | Relapsing-Remitting Multiple Sclerosis |
| SELs | Slowly Expanding Lesions |
| SH1 | Kinase (SH1) domain |
| SH2 | SH2 domain |
| SH3 | SH3 domain |
| SPMS | Secondary Progressive Multiple Sclerosis |
| TIRP | Toll-interleukin 1 receptor (TIR) domain-containing adaptor protein |
| TH | Tec Homology |
| TNF | Tumor Necrosis Factor |
| TNF-α | Tumor Necrosis Factor-alpha |
| ULN | Upper Limit of Normal |
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| Study 2025 | Drug | Design | MS Subtype | N (BTKi) | Comparator | Dose/Route | Primary Efficacy (BTKi vs. Comp) | ARR (BTKi vs. Comp) | MRI Outcomes | EDSS (Baseline > Follow-Up) | Safety Findings | F/u Time (Wk) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bar-Or 2025 [20] | Fenebrutinib | RCT, double-blind | RRMS/RMS (106); SPMS (3) | 70 | Placebo | 200 mg BID (oral) | 0.168 vs. 0.634 | 0 vs. 0.18 | 0.077 vs. 0.245 (69% reduction) | 2.5 → EDSS used only as inclusion | 0 vs. 0 (4/73 total AEs noted) | 48 |
| Fox 2025 [19] | Tolebrutinib | RCT, double-blind | SPMS (1131) | 754 | Placebo | 60 mg OD (oral) | 1.84 vs. 2.95 | 0.033 vs. 0.032 | Brain volume loss: 0.37%; 21% reduction in atrophy | 5.5 → NR | 30/741 vs. 6/372 | Median: 133 |
| Reich 2021 [15] | Tolebrutinib | Phase 2 RCT, double-blind | RRMS/RMS (128); SPMS (2) | 33 (5 mg), 32 (15 mg), 33 (30 mg), 32 (60 mg) | Placebo | 5, 15, 30, 60 mg (oral) | 0.23 vs. 2.12 | NR | 0.13 vs. 1.4 | 2.3 → NR | 1/32 vs. 0 | 16 |
| Oh 2025 (GEMINI 1 & 2) [17] | Tolebrutinib | Two Phase 3 RCTs, double-blind | RMS only (G1: 974; G2: 899) | G1: 486; G2: 447 | Teriflunomide | 60 mg OD (oral) | G1: 5.611 vs. 5.175; G2: 5.092 vs. 4.369 | G1: 0.13 vs. 0.11; G2: 0.12 vs. 0.11 | G1: 0.53 vs. 0.285; G2: 0.46 vs. 0.217 | ≤5.5 → Median: G1 15.38 vs. 17.97; G2 15.12 vs. 12.14 | Not clearly reported | Median: 139 |
| Montalban 2024 (EvolutionRMS1/2) [18] | Evobrutinib | Two Phase 3 RCTs, double-blind | RMS only | RMS1: 560; RMS2: 583 | Teriflunomide | 45 mg BID (oral) | NR | RMS1: 0.15 vs. 0.14; RMS2: 0.11 vs. 0.11 | NR | ≤5.5 → NR | 55 vs. 9 (ALT 173; AST 110 elevations) | 156 |
| Montalban 2019 [16] | Evobrutinib | Phase 2 RCT, double-blind | RRMS/RMS (228); SPMS (33) | 159 | Placebo | 25 mg OD; 75 mg OD; 75 mg BID (oral) | 4.06 (25 mg), 1.69 (75 mg OD), 1.15 (75 mg BID) vs. 3.85 | Wk24: 0.57, 0.13, 0.08 vs. placebo; Wk48: 0.52, 0.25, 0.11 | No significant reduction (RR = 1.45 for 25 mg); ~70% reduction higher dose | Mean 3.3 → NR | ALT: 3, 6, 5; AST: 1, 2, 4 | 48 |
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Share and Cite
Raj, A.; Patel, V.; Dang, M.; Kayastha, A.; Kagzi, Y.; Pitchan Velammal, P.N.K.; Agrawal, N.; Sharma, K.; Hansen, N.; Wen, S.; et al. Emerging Role of BTK Inhibitors in Multiple Sclerosis: From Immunobiology to Clinical Translation. Brain Sci. 2026, 16, 634. https://doi.org/10.3390/brainsci16060634
Raj A, Patel V, Dang M, Kayastha A, Kagzi Y, Pitchan Velammal PNK, Agrawal N, Sharma K, Hansen N, Wen S, et al. Emerging Role of BTK Inhibitors in Multiple Sclerosis: From Immunobiology to Clinical Translation. Brain Sciences. 2026; 16(6):634. https://doi.org/10.3390/brainsci16060634
Chicago/Turabian StyleRaj, Aashray, Vansh Patel, Mehak Dang, Aken Kayastha, Yusuf Kagzi, Praveen Nandha Kumar Pitchan Velammal, Nidhi Agrawal, Kushagra Sharma, Nicholas Hansen, Sijin Wen, and et al. 2026. "Emerging Role of BTK Inhibitors in Multiple Sclerosis: From Immunobiology to Clinical Translation" Brain Sciences 16, no. 6: 634. https://doi.org/10.3390/brainsci16060634
APA StyleRaj, A., Patel, V., Dang, M., Kayastha, A., Kagzi, Y., Pitchan Velammal, P. N. K., Agrawal, N., Sharma, K., Hansen, N., Wen, S., Jaiswal, S., & Sriwastava, S. (2026). Emerging Role of BTK Inhibitors in Multiple Sclerosis: From Immunobiology to Clinical Translation. Brain Sciences, 16(6), 634. https://doi.org/10.3390/brainsci16060634

