Galsulfase 5mg/5ml solution for infusion vials
Requires a prescription from a doctor or prescriber
Galsufase is a variant form of the polymorphic human enzyme N-acetylgalactosamine 4-sulfatase of recombinant DNA origin.
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Naglazyme 5mg/5ml solution for infusion vials
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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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 all 49 studies.
Reviews & meta-analyses: 7 · Trials: 2 · 2005–2025
Showing all 49 studies, sorted by most relevant.
Dalila Fernandes Gomes, Luciana Guerra Gallo, Betânia Ferreira Leite, et al.
Journal of Inherited Metabolic Disease, 2019
- Mucopolysaccharidosis VI
- N-Acetylgalactosamine-4-Sulfatase
- Recombinant Proteins
El Dib RP, Pastores GM
2009
IntroductionMucopolysaccharidosis type VI (MPS VI, Maroteaux-Lamy syndrome) is an autosomal recessive lysosomal storage disorder, characterized primarily by skeletal dysplasia and joint contracture. It is caused by a deficiency of N-acetylgalactosamine-4-sulfatase (arylsulfatase B), for which a recombinant formulation (galsulfase) is available as replacement therapy.ObjectiveTo evaluate the effectiveness and safety of galsulfase compared to placebo or no interventions, for treating MPS VI. We also considered studies evaluating different doses of galsulfase.MethodsA systematic review of the literature was conducted. A computerized electronic search in MEDLINE, EMBASE, CENTRAL, SciELO, and LILACS was carried on to identify any randomized trials that met our inclusion criteria.ResultsTwo studies were included in the review. Because the number of studies was small, our analysis probably did not find any statistically significant difference. Long-term follow-up will be required to ascertain full clinical benefit, on both event-free survival and quality of life measures.ConclusionsThere is some evidence to support the use of galsulfase in the treatment of MPS VI; however due to the very low quantity of included studies we could not analyze it in an appropriate way. This review highlights the need for continued research into the use of enzyme replacement therapy for MPS VI.
Abstract licence: CC BY-NC 3.0
Dalila Fernandes Gomes
M. Brunelli, Á. Atallah, Edina M K da Silva
The Cochrane database of systematic reviews, 2016
- Mucopolysaccharidosis VI
- N-Acetylgalactosamine-4-Sulfatase
- Glycosaminoglycans
A. Quartel, P. Harmatz, C. Lampe, et al.
2018
R. Giugliani, C. Lampe, N. Guffon, et al.
American journal of medical genetics. Part A, 2014
- Enzyme Replacement Therapy
- Mucopolysaccharidosis VI
- N-Acetylgalactosamine-4-Sulfatase
P. Harmatz
The Turkish journal of pediatrics, 2010
- Enzyme Replacement Therapy
- Mucopolysaccharidosis VI
- N-Acetylgalactosamine-4-Sulfatase
Shangze Li, Runcheng Huang, Yuanyuan Meng, et al.
Frontiers in Pharmacology, 2024
BackgroundAssociated with enzyme deficiencies causing glycosaminoglycans (GAGs) accumulation, mucopolysaccharidosis type VI (MPS VI) is lysosomal storage disorder. In the treatment of MPS VI, galsulfase (Naglazyme) is commonly used as an enzyme replacement therapy (ERT). There remains a need for comprehensive real-world data on its safety and associated adverse events (AEs).ObjectiveAn analysis of the FDA Adverse Event Reporting System (FAERS) database will be conducted to identify potential risks and adverse reactions associated with galsulfase in real-life settings.MethodsThe FAERS database was used to extract data from Q2 2005 to Q4 2023. A total of 20,281,876 reports were analyzed after duplicate elimination, with 3,195 AE reports related to galsulfase identified. The association between galsulfase and AEs was investigated by utilizing four algorithms: reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS). The analysis focused on the timing of onset, signs of AEs, and clinical significance.ResultsTwenty seven organ systems were involved, and significant system organ classes (SOCs) included respiratory, thoracic and mediastinal disorders, and infections and infestations. At the PT level, 72 PTs corresponding to 15 SOCs were identified, with some AEs not previously mentioned in the product label. AEs associated with galsulfase had a median onset time of 1,471 days, with over half of the cases occurred within the first 5 years of treatment initiation.ConclusionThis investigation delivers an exhaustive and indicative assessment of galsulfase’s safety profile, grounded in authentic, real-world evidence. The findings emphasis the importance of continuous safety surveillance and the emergence of new AEs. The identification of previously unreported urologic adverse events, such as glomerulonephritis membranous and nephritic syndrome, warrants further investigation. The study emphasizes the need for enhanced pharmacovigilance to ensure patient safety and the effectiveness of galsulfase treatment.
Abstract licence: CC BY 4.0
M. Pereira Silva, A. O. Lyrio, Laís Lessa Neiva Pantuzza, et al.
International Journal of Technology Assessment in Health Care, 2024
Introduction Budget impact analyses for the treatment of rare diseases are especially important for the sustainability of health systems due to high treatment costs and uncertainties in target population estimates. The objective of this work is to analyze the elements that influence discrepancies between predicted and observed budget impacts for enzyme replacement therapies for rare diseases in Brazil’s public health system. Methods All enzyme replacement therapies for rare diseases evaluated by the National Committee for Health Technology Incorporation in the Brazilian Public Health System (Conitec) and with at least one year of use were included. For each technology, the following were identified: number of patients, median patient weight, annual quantity of medication, unit price, and budget impact. The attributes were compared between previous estimates and real-world observation after use. The data sources were publicly accessible administrative databases and Conitec technical reports. Results Five technologies were selected: elosulfase alfa, alglucosidase alfa, idursulfase, laronidase, and galsulfase. In the first year, the difference between the estimated and the observed number of patients treated was up to 15 percent lower or higher for four technologies, but with monthly fluctuation throughout the year. The median weight of users was between 23 percent and 468 percent higher for three technologies. The observed price was as expected, with variations between three percent lower and 14 percent higher. The quantity of medicines used was lower (between 39% and 46%) than expected for all technologies. The observed budget impact was 37 percent to 47 percent lower than estimated. Conclusions Real-world budget impact was lower than expected for all technologies. The main cause of discrepancies was the estimate of the annual amount of medication, which did not consider gradual adherence and discontinuation of treatment. This highlights the need to review the budget impact methodology for rare diseases, forecasting monthly market share and treatment discontinuation rate.
Abstract licence: CC BY
Mihalache A, Volfson E, Huang R, et al.
2025
ObjectiveCarpal tunnel syndrome (CTS) is a prevalent compression neuropathy with multiple well-documented mechanical and systemic risk factors. However, the role of pharmacological agents in the development of CTS remains underexplored. This study aims to identify drugs disproportionately associated with CTS reports using data from the Food and Drug Administration Adverse Event Reporting System (FAERS).MethodsA retrospective pharmacovigilance analysis was conducted using OpenVigil 2.1 to evaluate adverse event (AE) reports of CTS from the FAERS database from October 2003 to September 2024. Only drugs identified as the primary suspect in at least 10 AE reports were included. Disproportionality analysis, including reporting odds ratios (RORs), was used to assess associations between CTS and specific drugs. Positive signals were validated using Bayesian confidence propagation neural network algorithms, with drugs having ROR ≥10 and significant Bayesian confidence intervals (IC025 > 0) considered strongly associated with CTS.ResultsOf 12,929,504 AEs reported during the study period, 6,837 (0.05%) involved CTS. Female patients comprised 69.5% of CTS cases, with a mean age of 57.0±14.9 years. Ten drugs were found to have significant overreporting of CTS, including idursulfase (ROR=51.2, 95% CI=39.0-67.2), galsulfase (ROR=26.8, 95% CI=17.2-41.7), laronidase (ROR=20.9, 95% CI=14.4-30.3), tesamorelin (ROR=20.7, 95% CI=13.7-31.3), anastrozole (ROR=20.6, 95% CI=17.0-24.9), alendronic acid (ROR=17.1, 95% CI=14.5-20.1), gamma-hydroxybutyric acid (GHB) (ROR=16.3, 95% CI=9.6-27.6), rofecoxib (ROR=16.1, 95% CI=14.3-18.2), alendronate (ROR=12.9, 95% CI=11.0-15.2), and tafamidis (ROR=12.0, 95% CI=9.2-15.7).ConclusionsSeveral drugs were disproportionately associated with CTS in the FAERS database, including enzyme replacement therapies (ERTs), aromatase inhibitors, bisphosphonates, growth hormone (GH)-releasing factor analogs, GHB, rofecoxib, and tafamidis. These findings highlight the critical need for increased vigilance and monitoring of new-onset or worsening CTS in high-risk populations prescribed the aforementioned medications. Clinicians should carefully scrutinize pharmacological history when evaluating patients in this context.
Abstract licence: CC BY
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
24th
Mechanism
Galsulfase supplies recombinant-engineered galsulfase, a normal variant form of…
Food interactions
None known
Human targets
2 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Half-life
24th
Volume of distribution
56-323 mL
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
PMID:19306108
Involved in the regulation of cell adhesion, cell migration and invasion in colonic epithelium .
PMID:19306108
In the central nervous system, is a regulator of neurite outgrowth and neuronal plasticity, acting through the control of sulfate glycosaminoglycans and neurocan levels (By similarity)
ATC A16AB08
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)
Galsulfase
Additional database identifiers
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