Sitaxentan 100mg tablets
Sitaxentan was marketed under the trade name Thelin for the treatment of pulmonary arterial hypertension (PAH) by Encysive Pharmaceuticals until Pfizer purchased Encysive in February 2008.
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Data from the MHRA Yellow Card scheme. A reported reaction does not necessarily mean the medicine caused it. Contains public sector information licensed under the Open Government Licence v3.0.
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Suspected adverse reactions reported for Sitaxentan
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1 branded products available
WHO defined daily dose (DDD)
100 mg
Not a recommended dose. The DDD is the assumed average maintenance dose per day for a drug used for its main indication in adults. It is a statistical measure used for research and comparison purposes only.
Source: WHO Collaborating Centre for Drug Statistics Methodology, distributed via the NHS dm+d supplementary mapping files (NHSBSA). Contains public sector information licensed under the Open Government Licence v3.0.
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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Codes for healthcare professionals and prescribing systems
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NHS UK identifiers
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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: 1 · Randomised trials: 1 · 2007–2025
Showing the 50 most relevant studies, sorted by most relevant.
Y‐F Chen, S Jowett, P Barton, et al.
Health Technology Assessment, 2009
Kelly Chin, Gwyn D'Souza, Zhi-Cheng Jing, et al.
C63. MANAGEMENT OF PULMONARY HYPERTENSION, 2012
Pannucci P, Van Daele M, Cooper SL, et al.
2024
- Rats, Sprague-Dawley
- Hypertension
- Phenylurea Compounds
Receptor tyrosine kinase inhibitors (RTKIs) suppress tumour growth by targeting vascular endothelial growth factor receptor 2 (VEGFR-2) which is an important mediator of angiogenesis. Here, we demonstrate that two potent RTKIs, axitinib and lenvatinib, are associated with hypertensive side effects. Doppler flowmetry was used to evaluate regional haemodynamic profiles of axitinib and lenvatinib. Male Sprague Dawley rats (350-500 g) were instrumented with Doppler flow probes (renal and mesenteric arteries and descending abdominal aorta) and catheters (jugular vein and distal abdominal aorta, via the caudal artery). Rats were dosed daily with axitinib (3 or 6 mg.kg-1) or lenvatinib (1 or 3 mg.kg-1) and regional haemodynamics were recorded over a maximum of 4 days. Both RTKIs caused significant (p A receptor selective antagonist sitaxentan (5 mg.kg-1) or the mixed ETA/ETB receptor antagonist bosentan (15 mg.kg-1) over two days. Co-treatment with bosentan or sitaxentan markedly reduced the MAP effects mediated by both RTKIs (p A receptors may be appropriate to alleviate the hypertensive effects of axitinib and lenvatinib.
Abstract licence: CC BY
Han K, He Z, Liu Y, et al.
2024
- Colorectal Neoplasms
- Hypercholesterolemia
- Gene Expression Profiling
Some studies have investigated the role of cholesterol in the progression of colorectal cancer (CRC). However, the underlying mechanism of action is not clear. In this study, we used bioinformatics tools to elucidate the molecular mechanisms involved. We initially obtained CRC datasets from the Gene Expression Omnibus (GEO) database and hypercholesterolemia data from GeneCards and DisGeNE. Common differentially expressed genes (DEGs) were determined by using Venn diagram web tools. Next, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). The hub gene was identified through common expression pattern analysis and survival analysis. Finally, we conducted an immune regulatory point analysis and predicted target drugs based on the hub gene. The results of our analysis revealed 13 common DEGs, with endothelin receptor type A (EDNRA) identified as the hub gene linking hypercholesterolemia and CRC. The results of the GO analysis showed that the common DEGs were primarily associated with the G-protein coupled receptor signaling pathway, extracellular space, and receptor binding. The results of the KEGG pathway enrichment analysis indicated enrichment in pathways related to cancer and the phospholipase D signaling pathway. Additionally, we identified potential target drugs, including Podocarpus montanus, Diospyros kaki, Herba Salviae japoniae, sitaxentan, and ambrisentan. We found that EDNRA might be an underlying biomarker for both hypercholesterolemia and CRC. The predicted target drugs provide new strategies for treating CRC.
Abstract licence: CC BY-NC-ND
Zhengjia Wang, Renshu Zhan, Liqun Mo, et al.
Journal of International Medical Research, 2025
- Lung
- Reperfusion Injury
- Isoxazoles
Background Cardiopulmonary bypass is widely used in cardiac surgery but often leads to lung ischemia–reperfusion injury, a major cause of morbidity and mortality. Despite advances in critical care, effective prevention remains challenging. Sitaxentan, a selective endothelin receptor antagonist, has shown protective effects in ischemia–reperfusion models, suggesting its potential in mitigating lung ischemia–reperfusion injury. This study investigated the efficacy of sitaxentan in reducing lung ischemia–reperfusion injury during cardiopulmonary bypass. Methods Twenty-four female beagles were divided into sham, cardiopulmonary bypass, and endothelin receptor antagonist (sitaxentan-treated) groups. Hemodynamics, arterial blood gas, lung damage scores, wet/dry ratio, and levels of various biomarkers were evaluated. Results Lung damage scores in the endothelin receptor antagonist group were lower than those in the cardiopulmonary bypass group but higher than those in the sham group ( P < 0.05). The wet/dry ratio was lowest in the sham group and higher in the cardiopulmonary bypass group than that in the endothelin receptor antagonist group ( P < 0.05). Caspase-3 and hypoxia inducible factor-1α levels were intermediate in the endothelin receptor antagonist group compared with those in the cardiopulmonary bypass and sham groups ( P < 0.05). In contrast, phosphorylated-endothelial nitric oxide synthase, phosphorylated protein kinase B, tumor necrosis factor-α, and interleukin-6 levels were higher in the endothelin receptor antagonist group than in the cardiopulmonary bypass and sham groups ( P < 0.05). Malondialdehyde level was higher and superoxide dismutase level was lower in the cardiopulmonary bypass and endothelin receptor antagonist groups than in the sham group ( P < 0.05). Conclusions Sitaxentan may offer a novel therapeutic approach to attenuate lung ischemia–reperfusion injury in clinical settings by regulating the hypoxia inducible factor-1α/phosphorylated protein kinase B/phosphorylated-endothelial nitric oxide synthase pathway.
Abstract licence: CC BY-NC 4.0
Lu Yang, Liqun Mo, Fuyu Li, et al.
Clinical Hemorheology and Microcirculation, 2023
- Cardiopulmonary Bypass
- Microbubbles
- Kidney
Farrah TE, Anand A, Gallacher PJ, et al.
2019
- Proteinuria
- Cardiovascular Diseases
- Nifedipine
Dyslipidemia is common in chronic kidney disease (CKD). Despite statins, many patients fail to adequately lower lipids and remain at increased risk of cardiovascular disease. Selective ETA (endothelin-A) receptor antagonists reduce cardiovascular disease risk factors. Preclinical data suggest that ETA antagonism has beneficial effects on circulating lipids. We assessed the effects of selective ETA antagonism on circulating lipids and PCSK9 (proprotein convertase subtilisin/kexin type 9) in CKD. This was a secondary analysis of a fully randomized, double-blind, 3-phase crossover study. Twenty-seven subjects with predialysis CKD on optimal cardio- and renoprotective treatment were randomly assigned to receive 6 weeks dosing with placebo, the selective ETA receptor antagonist, sitaxentan, or long-acting nifedipine. We measured circulating lipids and PCSK9 at baseline and then after 3 and 6 weeks. Baseline lipids and PCSK9 did not differ before each study phase. Whereas placebo and nifedipine had no effect on lipids, 6 weeks of ETA antagonism significantly reduced total (-11±1%) and low-density lipoprotein-associated (-20±3%) cholesterol, lipoprotein (a) (-16±2%) and triglycerides (-20±4%); high-density lipoprotein-associated cholesterol increased (+14±2%), PA receptor antagonism, but neither placebo nor nifedipine, reduced circulating PCSK9 (-19±2%; PA antagonism improves lipid profiles in optimally-managed patients with CKD, effects that may occur through a reduction in circulating PCSK9. ETA receptor antagonism offers a potentially novel strategy to reduce cardiovascular disease risk in CKD. Clinical Trial Registration- URL: http://www.clinicaltrials.gov . Unique identifier: NCT00810732.
Abstract licence: CC BY
A. Lavelle, R. Sugrue, G. Lawler, et al.
European Respiratory Journal, 2009
Adam King, Matthew Baginski, Yoshio Morikawa, et al.
Journal of Proteome Research, 2019
- Liver
- Mice, SCID
- Ions
John C. L. Erve, Shawn Gauby, John W. Maynard, et al.
Chemical Research in Toxicology, 2013
- Cytochrome P-450 Enzyme Inhibitors
- Microsomes, Liver
- Hepatocytes
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
5 found
Half-life
10 hours
Mechanism
Sitaxentan is a competitive antagonist of endothelin-1 at the endothelin-A (ET-A) and endothelin-B (ET-B) receptors.
Food interactions
1 warning
Human targets
2 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
70-100%
Half-life
10 hours
Protein binding
99%
Metabolism
Elimination
50 to 60%
Fecal (40 to 50%)
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 1026 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Fecal (40 to 50%)
Proteins and enzymes this drug interacts with in the body
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC C02KX03
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)
Sitaxentan
Additional database identifiers
Drugs Product Database (DPD)
20136
ChemSpider
187436
BindingDB
50058126
Guide to Pharmacology
3950
ZINC
ZINC000001481831
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3179
GenAtlas
EDNRA
GeneCards
EDNRA
GenBank Gene Database
S63938
GenBank Protein Database
238636
Guide to Pharmacology
219
UniProt Accession
EDNRA_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3180
GenAtlas
EDNRB
GeneCards
EDNRB
GenBank Gene Database
M74921
GenBank Protein Database
182276
Guide to Pharmacology
220
UniProt Accession
EDNRB_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2621
GeneCards
CYP2C19
GenBank Gene Database
M61854
GenBank Protein Database
181344
Guide to Pharmacology
1328
UniProt Accession
CP2CJ_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2623
GenAtlas
CYP2C9
GeneCards
CYP2C9
GenBank Gene Database
AY341248
Guide to Pharmacology
1326
UniProt Accession
CP2C9_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2637
GenAtlas
CYP3A4
GeneCards
CYP3A4
GenBank Gene Database
M18907
Guide to Pharmacology
1337
UniProt Accession
CP3A4_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