Evidence map›Paper›PMID 38809387›Full record

Trial reportDrugs in R&D2024

A Semi-Mechanistic Population Pharmacokinetic Model of Noscapine in Healthy Subjects Considering Hepatic First-Pass Extraction and CYP2C9 Genotypes.

Zhendong Chen, Max Taubert, Chunli Chen, Jana Boland, Qian Dong, Muhammad Bilal, Charalambos Dokos, Bertil Wachall, Manfred Wargenau, Bernhard Scheidel and 5 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drugs in R&D, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Zhendong ChenDepartment I of Pharmacology, Faculty of Medicine and University Hospital Cologne, Center for Pharmacology, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany. Zhendong.chen@uk-koeln.de.ORCID http://orcid.org/0000-0002-2035-635X
Max TaubertDepartment I of Pharmacology, Faculty of Medicine and University Hospital Cologne, Center for Pharmacology, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.
Chunli ChenDepartment I of Pharmacology, Faculty of Medicine and University Hospital Cologne, Center for Pharmacology, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.
Jana BolandDepartment I of Pharmacology, Faculty of Medicine and University Hospital Cologne, Center for Pharmacology, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.
Qian DongDepartment I of Pharmacology, Faculty of Medicine and University Hospital Cologne, Center for Pharmacology, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.
Muhammad BilalDepartment I of Pharmacology, Faculty of Medicine and University Hospital Cologne, Center for Pharmacology, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.
Charalambos DokosDepartment I of Pharmacology, Faculty of Medicine and University Hospital Cologne, Center for Pharmacology, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.
Bertil WachallInfectoPharm Arzneimittel und Consilium GmbH, Heppenheim, Germany.
Manfred WargenauM.A.R.C.O. GmbH & Co. KG, Düsseldorf, Germany.
Bernhard ScheidelACC GmbH Analytical Clinical Concepts, Leidersbach, Germany.
Martin H J WiesenPharmacology at the Laboratory Diagnostics Centre, Therapeutic Drug Monitoring, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Elke SchaeffelerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Baden-Württemberg, Germany.
Roman TremmelDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Baden-Württemberg, Germany.
Matthias SchwabDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Baden-Württemberg, Germany.
Uwe FuhrDepartment I of Pharmacology, Faculty of Medicine and University Hospital Cologne, Center for Pharmacology, University of Cologne, Gleueler Straße 24, 50931, Cologne, Germany.

Funding

2022 ESI International High Impact Research Article Cooperation Program 212-54900112International Postdoctoral Exchange Fellowship Program from the Office of China Postdoctoral Council 2020106National Natural Science Foundation of Heilongjiang Province YQ2022C017
6 · The paper itself

Abstract

introductionNoscapine is a commonly used cough suppressant, with ongoing research on its anti-inflammatory and anti-tumor properties. The drug has a pronounced pharmacokinetic variability.

objectiveThis evaluation aims to describe the pharmacokinetics of noscapine using a semi-mechanistic population pharmacokinetic model and to identify covariates that could explain inter-individual pharmacokinetic variability.

methodsForty-eight healthy volunteers (30 men and 18 women, mean age 33 years) were enrolled in a randomized, two-period, two-stage, crossover bioequivalence study of noscapine in two different liquid formulations. Noscapine plasma concentrations following oral administration of noscapine 50 mg were evaluated by a non-compartmental analysis and by a population pharmacokinetic model separately.

resultsCompared to the reference formulation, the test formulation exhibited ratios (with 94.12% confidence intervals) of 0.784 (0.662-0.929) and 0.827 (0.762-0.925) for peak plasma concentrations and area under the plasma concentration-time curve, respectively. Significant differences in p values (< 0.01) were both observed when comparing peak plasma concentrations and area under the plasma concentration-time curve between CYP2C9 genotype-predicted phenotypes. A three-compartmental model with zero-order absorption and first-order elimination process best described the plasma data. The introduction of a liver compartment was able to describe the profound first-pass effect of noscapine. Total body weight and the CYP2C9 genotype-predicted phenotype were both identified as significant covariates on apparent clearance, which was estimated as 958 ± 548 L/h for extensive metabolizers (CYP2C9*1/*1 and *1/*9), 531 ± 304 L/h for intermediate metabolizers with an activity score of 1.5 (CYP2C9*1/*2), and 343 ± 197 L/h for poor metabolizers and intermediate metabolizers with an activity score of 1.0 (CYP2C9*1/*3, *2/*3, and*3/*3).

conclusionThe current work is expected to facilitate the future pharmacokinetic/pharmacodynamic development of noscapine. This study was registered prior to starting at "Deutsches Register Klinischer Studien" under registration no. DRKS00017760.

Indexed as

Cross-Over StudiesCytochrome P-450 CYP2C9GenotypeHealthy VolunteersLiverModels, BiologicalNoscapineAdministration, OralAdultAntitussive AgentsFemaleHumansMaleMiddle AgedTherapeutic EquivalencyYoung AdultAntitussive AgentsCYP2C9 protein, humanCytochrome P-450 CYP2C9Noscapine

Identifiers

PMID38809387
PMCPMC11315837

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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 OpenQuestion graph.