Diroximel fumarate 231mg gastro-resistant capsules
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Vumerity 231mg gastro-resistant capsules
Therapeutically similar medicines
Similarity is based on WHO Anatomical Therapeutic Chemical (ATC) classification and on a factual NHS dm+d therapeutic-grouping code prefix. Source data: NHS dm+d via TRUD (OGL v3.0), WHO ATC/DDD Index.
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Guidelines from the National Institute for Health and Care Excellence
NICE clinical guidance(3)
Diroximel fumarate for treating relapsing–remitting multiple sclerosis (TA794)
Cladribine for treating active relapsing forms of multiple sclerosis (TA1053)
Multiple sclerosis in adults: management (NG220)
Source: National Institute for Health and Care Excellence (NICE). Contains public sector information licensed under the Open Government Licence v3.0.
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. ATC codes from the WHO Collaborating Centre for Drug Statistics Methodology (whocc.no).
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing the 50 most relevant studies.
Reviews & meta-analyses: 18 · Randomised trials: 6 · 2016–2026
Showing the 50 most relevant studies, sorted by most relevant.
A. Green, J. Gelfand, B. Cree, et al.
Lancet, 2017
G. Ferguson, K. Rabe, F. Martinez, et al.
The Lancet. Respiratory medicine, 2018
Kenneth H. Mayer, J. Molina, Melanie Thompson, et al.
Lancet (London, England), 2020
Haneen Sabet, Mohamed Ahmed Zanaty, Abdelfattah Arafa, et al.
Neurological Sciences, 2025
- Multiple Sclerosis, Relapsing-Remitting
- Immunosuppressive Agents
- Fumarates
Abstract Objective To evaluate the safety and efficacy of Diroximel Fumarate (DRF) in patients with different relapsing forms of MS (RMS) through systematic review and meta-analysis. Methods A systematic review and meta-analysis adhering to PRISMA guidelines was conducted. Scopus, PubMed, and Cochrane CENTRAL databases were searched until December 6, 2024, for clinical trials and observational studies on DRF in RMS. Eligibility criteria included studies evaluating DRF’s safety or efficacy, excluding case reports and non-clinical outcomes. The risk of bias was assessed using the Newcastle–Ottawa Scale and ROBINS-I tools. Statistical analyses were performed using OpenMetaAnalyst, focusing on pooled mean differences and incidence rates with 95% confidence intervals. Results Seven studies with 3,075 participants were included. The overall persistence rate was 75.6% (95% CI: 63.5%, 87.7%). The discontinuation rate due to safety concerns was 6.1% (95% CI: 4.1%, 8.1%). Lymphocyte count decreased significantly by -355.02 cells/µL (95% CI: -636.71, -73.32). Mild adverse events (AEs) occurred in 33% (95% CI: 18.6%, 47.4%), moderate in 30% (95% CI: -9.9%, 69.9%), and severe in 5% (95% CI: -3.8%, 13.7%). Gastrointestinal (GI) AEs were observed in 17.4% (95% CI: 6%, 28.8%), flushing in 18.5% (95% CI: 5.7%, 31.3%), and lymphopenia in 24.3% (95% CI: 10.2%, 38.4%). The relapse rate was 7.1% (95% CI: -4.8%, 19%). Conclusion DRF demonstrates efficacy in reducing relapse rates and offers an improved safety profile compared to its predecessor, Dimethyl Fumarate (DMF), particularly in GI tolerability. However, lymphopenia requires monitoring. Further research is recommended to evaluate long-term safety and efficacy in diverse populations.
Abstract licence: CC BY 4.0
V. Zecchini, Vincent Paupe, Irene Herranz-Montoya, et al.
Nature, 2023
Zhao Y, Chen B, Zhao X, et al.
2026
- Multiple Sclerosis, Relapsing-Remitting
- Immunosuppressive Agents
- Fingolimod Hydrochloride
BackgroundRelapsing-Remitting Multiple Sclerosis (RRMS) is a chronic inflammatory demyelinating disease affecting the central nervous system, characterized by complex pathogenesis and increasing annual incidence rates. Although current clinical interventions for RRMS are diverse, there remains a relative scarcity of direct comparative studies on the efficacy and safety profiles among different oral disease-modifying drugs, resulting in insufficient comprehensive evidence.ObjectiveThis study aims to apply network meta-analysis techniques to systematically evaluate the relative efficacy and safety of different disease-modifying oral drugs in the treatment of RRMS, clarify their differences, and provide high-quality evidence-based medical support for optimal clinical treatment decision-making.MethodsThe systematic search was conducted in PubMed, Embase, Web of Science, and The Cochrane Register of Clinical Trials databases, covering the period from database inception to July 31, 2025. Randomized controlled trials were included, with study populations consisting of adult patients with relapsing-remitting multiple sclerosis, interventions involving disease-modifying oral medications, and comparators being placebo or other treatments. The primary data sources were phase II/III clinical trials, with non-standard treatment regimens serving as crucial observational approaches and thus analyzed as independent nodes for comparison. Primary outcome measures included Annualized relapse rate and Adverse events leading to discontinuation, while secondary outcomes comprised Adverse events, Serious adverse events, active T1 lesions, and active T2 lesions. A random-effects model was employed for network meta-analysis, with dichotomous and continuous variables analyzed using odds ratios (OR) and mean differences (MD) along with their respective 95% confidence intervals (CI) as effect measures to compare various interventions. Treatment rankings were performed using the surface under the cumulative ranking curve (SUCRA) probability method.ResultsA total of 15 RCTs involving 14,869 participants were included. The NMA results demonstrated that Siponimod, Ponesimod, Laquinimod, Fingolimod, Cladribine, and Dimethyl Fumarate were all superior to placebo in reducing annualized relapse rates in patients with multiple sclerosis, with Siponimod (2 mg; SUCRA = 86.9%) and Laquinimod 0.3 mg (SUCRA = 10.1%) being the best and worst treatments, respectively. Regarding adverse events leading to study discontinuation, the optimal and least favorable interventions were Fingolimod (0.25 mg; SUCRA = 83.1%) and Siponimod (10 mg; SUCRA = 3.1%), respectively.ConclusionsThis NMA demonstrated that Siponimod (2mg) is the most efficacious therapeutic intervention; FIN (0.25 mg) exhibited relative safety advantages in terms of DAE, though this dosage constitutes an exploratory regimen and should not serve as the basis for routine clinical medication. However, these findings still require further validation in subsequent studies.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD420250654500.
Abstract licence: CC BY
A. Hooftman, Christian G. Peace, D. Ryan, et al.
Nature, 2023
Kantor D, Pham T, Patterson-Lomba O, et al.
2023
IntroductionThis study assessed the cost-effectiveness of ozanimod compared with commonly used disease-modifying therapies (DMTs) for relapsing-remitting multiple sclerosis (RRMS).MethodsAnnualized relapse rate (ARR) and safety data were obtained from a network meta-analysis (NMA) of clinical trials of RRMS treatments including ozanimod, fingolimod, dimethyl fumarate, teriflunomide, interferon beta-1a, interferon beta-1b, and glatiramer acetate. ARR-related number needed to treat (NNT) relative to placebo and annual total MS-related healthcare costs was used to estimate the incremental annual cost per relapse avoided with ozanimod vs each DMT. ARR and adverse event (AE) data were combined with drug costs and healthcare costs to manage relapses and AEs in order to estimate annual cost savings with ozanimod vs other DMTs, assuming a 1 million USD fixed treatment budget.ResultsTreatment with ozanimod was associated with lower incremental annual healthcare costs to avoid a relapse, ranging from $843,684 vs interferon beta-1a (30 μg; 95% confidence interval [CI] - $1,431,619, - $255,749) to $72,847 (95% CI - $153,444, $7750) vs fingolimod. Compared with all other DMTs, ozanimod was associated with overall healthcare cost savings ranging from $8257 vs interferon beta-1a (30 μg) to $2178 vs fingolimod. Compared with oral DMTs, ozanimod was associated with annual cost savings of $6199 with teriflunomide 7 mg, $4737 with teriflunomide 14 mg, $2178 with fingolimod, and $2793 with dimethyl fumarate.ConclusionTreatment with ozanimod was associated with substantial reductions in annual drug costs and total MS-related healthcare costs to avoid relapses compared with other DMTs. In the fixed-budget analysis, ozanimod demonstrated a favorable cost-effective profile relative to other DMTs.
Abstract licence: CC BY-NC
A. Svenningsson, T. Frisell, J. Burman, et al.
The Lancet. Neurology, 2022
Chanie Wassner, Nicole Bradley, Yuman Lee
Journal of the International Association of Providers of AIDS Care, 2020
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
Pharmacology and chemical data from DrugBank
Key facts
Drug status
Approved
Major interactions
None known
Half-life
1 hour
Mechanism
Currently, the mechanism of action of this drug in MS is not fully understood.
Food interactions
2 warnings
Human targets
1 target
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
2.5-3 hours
[A187544]
…
Half-life
1 hour
[A187544][L9623]
Protein binding
27-45%
[L9623]
Volume of distribution
72L
[L9623]
Monomethyl fumarate (MMF), the active metabolite of diroximel fumarate, crosses the blood brain barrier.
[A187529]
…
Metabolism
[A187544]
…
Elimination
0.3%
Clearance
1.54 mg
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Diroximel fumarate is a new drug from the fumarate class formulated to treat various relapsing forms of MS. This drug is bioequivalent to [Dimethyl fumarate][A187544][L9626](initially manufactured in 2013), but is less likely to cause gastrointestinal side effects, owing to its unique chemical structure. Diroximel fumarate was formulated by Alkermes in collaboration with Biogen, and was approved by the FDA in October 2019[L9626] and by the EMA in November 2021.[L39225]
[L9623][L9629][L9632][L45305]
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 361 interactions
There is no information regarding overdose on the FDA label for diroximel fumarate. Cases of overdose with its bioequivalent counterpart, dimethyl fumarate, have been reported in the literature, and symptoms reflect the adverse effects of this drug.
These symptoms include nausea, vomiting, diarrhea, and flushing, among others.
[L9632][L9638]
Currently there is no antidote to an overdose with diroximel fumarate or dimethyl fumarate. Symptomatic and supportive management are the only options up to this date if an overdose should occur.
[L9638]
In addition to the above, MMF is a nicotinic acid receptor agonist in the laboratory setting. The relevance of this finding to the treatment of MS is unknown at this time.[L9623] The mechanism by which this drug leads to less gastrointestinal effects is purported to be due to its lack of a methanol leaving group in its chemical structure, and substitution with inert 2-hydroxyethyl succinimide.[A187532]
Discontinue diroximel fumarate immediately if PML is suspected or if anaphylaxis or angioedema occur. Liver function and total bilirubin should be tested prior to initiating diroximel fumarate and during treatment. A complete blood count (CBC) should be obtained prior to starting diroximel fumarate, after the first 6 months of administration, and at subsequent intervals of 6 to 12 months following this period. Suspend treatment if lymphocyte counts are measured to be less than 0.5 × 109/L for more than 6 months.[L9623]
How the body processes this drug — absorption, distribution, metabolism, and elimination
[A187544]
The median Tmax of monomethyl fumarate (MMF) after oral administration ranges from 2.5-3 hours with a mean Cmax of 2.11 mg/L.
[L9623]
The bioequivalent drug, dimethyl fumarate, administered to healthy volunteers also shows a similar mean Tmax and Cmax.
[A187544]
The average steady state concentration of this metabolite is estimated at 8.32 mg.hr/L after it is administered twice a day in patients with MS.
[L9623]
The mean AUC0–∞ of the active metabolite is 88mg × min L−1. Food appears to significantly reduce the Cmax of diroximel fumarate's active metabolite, MMF, when compared to administration in the fasted state.
[A187544][L9623]
[A187544][L9623]
[L9623]
[L9623]
Monomethyl fumarate (MMF), the active metabolite of diroximel fumarate, crosses the blood brain barrier.
[A187529]
[A187544]
These enzymes are present in high quantities in the gastrointestinal tract, tissues, and blood. Esterase metabolism of this drug produces the active metabolite, mono methyl fumarate (MMF), before it moves to the systemic circulation. In addition, the major inactive metabolite, 2-hydroxyethyl succinimide (HES) is produced along with small amounts of methanol, and another inactive metabolite, RDC-8439.
[A187532][L9623]
Following esterase metabolism, the tricarboxylic acid (TCA)cycle further metabolizes MMF. The major metabolites of MMF in plasma include fumaric acid, citric acid, and glucose.
[A187544][L9623]
It is important that methanol is a major metabolite of dimethyl fumarate metabolism, but a minor metabolite of diroximel fumarate metabolism, conferring its lower risk of gastrointestinal effects.
[A187532]
[L9623]
The inactive metabolite, 2-hydroxyethyl succinimide (HES), representing 58-63% of the ingested dose, is excreted in urine.
[L9623]
[A187544]
Proteins and enzymes this drug interacts with in the body
Expressed in the inner ear, in sympathetic neurons and in other non-neuronal cells, such as skin keratinocytes and lymphocytes .
PMID:11752216 PMID:15531379
nAChR formed by CHRNA9:CHRNA10 is involved in modulation of auditory stimuli. The channel is permeable to a range of divalent cations including calcium, the influx of which may activate a potassium current which hyperpolarizes the cell membrane. In the ear, mediates synaptic transmission between efferent olivocochlear fibers and hair cells of the cochlea, this may lead to a reduction in basilar membrane motion, altering the activity of auditory nerve fibers and reducing the range of dynamic hearing .
PMID:11752216
This may protect against acoustic trauma.
May also regulate keratinocyte adhesion (By similarity)
ATC L04AX09
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
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Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Diroximel fumarate
Additional database identifiers
ChemSpider
57423290
ZINC
ZINC000215286156
HUGO Gene Nomenclature Committee (HGNC)
HGNC:13800
GenAtlas
CHRNA10
GeneCards
CHRNA10
GenBank Gene Database
AJ278118
GenBank Protein Database
12053839
Guide to Pharmacology
470
UniProt Accession
ACH10_HUMAN
DrugBank citations
If you use DrugBank data in your research, please cite:
- DrugBank 6.02024Recommended citationKnox C., Wilson M., Klinger C.M., et alDrugBank 6.0: the DrugBank Knowledgebase for 2024Nucleic Acids Res. 2024 Jan 552(D1):D1265-D1275
- DrugBank 5.02018Wishart D.S., Feunang Y.D., Guo A.C., et alDrugBank 5.0: a major update to the DrugBank database for 2018Nucleic Acids Res. 2017 Nov 846(D1):D1074-D1082
- DrugBank 4.02014Law V., Knox C., Djoumbou Y., et alDrugBank 4.0: shedding new light on drug metabolismNucleic Acids Res. 2014 Jan 142(1):D1091-7
- DrugBank 3.02011Knox C., Law V., Jewison T., et alDrugBank 3.0: a comprehensive resource for 'omics' research on drugsNucleic Acids Res. 2011 Jan39(Database issue):D1035-41
- DrugBank 2.02008Wishart D.S., Knox C., Guo A.C., et alDrugBank: a knowledgebase for drugs, drug actions and drug targets.Nucleic Acids Research2008 Jan36(Database issue):D901-6
- DrugBank 1.02006Wishart D.S., Knox C., Guo A.C., et alDrugBank: a comprehensive resource for in silico drug discovery and exploration.Nucleic Acids Research2006 Jan 134(Database issue):D668-72