Evidence map›Paper›PMID 26385839›Full record

ArticleClinical pharmacokinetics2016

Physiologically-Based Pharmacokinetic Modeling of Macitentan: Prediction of Drug-Drug Interactions.

Ruben de Kanter, Patricia N Sidharta, Stéphane Delahaye, Carmela Gnerre, Jerome Segrestaa, Stephan Buchmann, Christopher Kohl, Alexander Treiber

Abstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ruben de KanterPreclinical Pharmacokinetics and Metabolism, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland. ruben.de-kanter@actelion.com.ORCID http://orcid.org/0000-0001-7503-9776
Patricia N SidhartaClinical Pharmacology, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.
Stéphane DelahayePreclinical Pharmacokinetics and Metabolism, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.
Carmela GnerrePreclinical Pharmacokinetics and Metabolism, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.
Jerome SegrestaaPreclinical Pharmacokinetics and Metabolism, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.
Stephan BuchmannPreformulation and Preclinical Galenics, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.
Christopher KohlPreclinical Pharmacokinetics and Metabolism, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.
Alexander TreiberPreclinical Pharmacokinetics and Metabolism, Actelion Pharmaceuticals Ltd, Gewerbestrasse 16, 4123, Allschwil, Switzerland.
Actelion (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMacitentan is a novel dual endothelin receptor antagonist for the treatment of pulmonary arterial hypertension (PAH). It is metabolized by cytochrome P450 (CYP) enzymes, mainly CYP3A4, to its active metabolite ACT-132577.

methodsA physiological-based pharmacokinetic (PBPK) model was developed by combining observations from clinical studies and physicochemical parameters as well as absorption, distribution, metabolism and excretion parameters determined in vitro.

resultsThe model predicted the observed pharmacokinetics of macitentan and its active metabolite ACT-132577 after single and multiple dosing. It performed well in recovering the observed effect of the CYP3A4 inhibitors ketoconazole and cyclosporine, and the CYP3A4 inducer rifampicin, as well as in predicting interactions with S-warfarin and sildenafil. The model was robust enough to allow prospective predictions of macitentan-drug combinations not studied, including an alternative dosing regimen of ketoconazole and nine other CYP3A4-interacting drugs. Among these were the HIV drugs ritonavir and saquinavir, which were included because HIV infection is a known risk factor for the development of PAH.

conclusionThis example of the application of PBPK modeling to predict drug-drug interactions was used to support the labeling of macitentan (Opsumit).

Indexed as

Models, BiologicalAdultCyclosporineCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsDrug InteractionsEndothelin A Receptor AntagonistsEndothelin B Receptor AntagonistsHumansKetoconazoleMalePyrimidinesRifampinSildenafil CitrateSulfonamidesWarfarinaprocitentanCyclosporineCYP3A4 protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsEndothelin A Receptor AntagonistsEndothelin B Receptor AntagonistsKetoconazolemacitentanPyrimidinesRifampinSildenafil CitrateSulfonamidesWarfarin

Identifiers

PMID26385839
OpenAlexW1953175061

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.