Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen: doi:10.22028/D291-33799
Titel: Comprehensive Parent-Metabolite PBPK/PD Modeling Insights into Nicotine Replacement Therapy Strategies
VerfasserIn: Kovar, Lukas
Selzer, Dominik
Britz, Hannah
Benowitz, Neal
St. Helen, Gideon
Kohl, Yvonne
Bals, Robert
Lehr, Thorsten
Sprache: Englisch
Titel: Clinical Pharmacokinetics
Bandnummer: 59
Heft: 9
Seiten: 1119–1134
Verlag/Plattform: Springer Nature
Erscheinungsjahr: 2020
DDC-Sachgruppe: 500 Naturwissenschaften
610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Background Nicotine, the pharmacologically active substance in both tobacco and many electronic cigarette (e-cigarette) liquids, is responsible for the addiction that sustains cigarette smoking. With 8 million deaths worldwide annually, smoking remains one of the major causes of disability and premature death. However, nicotine also plays an important role in smoking cessation strategies. Objectives The aim of this study was to develop a comprehensive, whole-body, physiologically based pharmacokinetic/ pharmacodynamic (PBPK/PD) model of nicotine and its major metabolite cotinine, covering various routes of nicotine administration, and to simulate nicotine brain tissue concentrations after the use of combustible cigarettes, e-cigarettes, nicotine gums, and nicotine patches. Methods A parent–metabolite, PBPK/PD model of nicotine for a non-smoking and a smoking population was developed using 91 plasma and brain tissue concentration–time profles and 11 heart rate profles. Among others, cytochrome P450 (CYP) 2A6 and 2B6 enzymes were implemented, including kinetics for CYP2A6 poor metabolizers. Results The model is able to precisely describe and predict both nicotine plasma and brain tissue concentrations, cotinine plasma concentrations, and heart rate profles. 100% of the predicted area under the concentration–time curve (AUC) and maximum concentration (Cmax) values meet the twofold acceptance criterion with overall geometric mean fold errors of 1.12 and 1.15, respectively. The administration of combustible cigarettes, e-cigarettes, nicotine patches, and nicotine gums was successfully implemented in the model and used to identify diferences in steady-state nicotine brain tissue concentration patterns. Conclusions Our PBPK/PD model may be helpful in further investigations of nicotine dependence and smoking cessation strategies. As the model represents the frst nicotine PBPK/PD model predicting nicotine concentration and heart rate profles after the use of e-cigarettes, it could also contribute to a better understanding of the recent increase in youth e-cigarette use.
DOI der Erstveröffentlichung: 10.1007/s40262-020-00880-4
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-337998
hdl:20.500.11880/31126
http://dx.doi.org/10.22028/D291-33799
ISSN: 1179-1926
0312-5963
Datum des Eintrags: 12-Apr-2021
Bezeichnung des in Beziehung stehenden Objekts: Electronic supplementary material
In Beziehung stehendes Objekt: https://static-content.springer.com/esm/art%3A10.1007%2Fs40262-020-00880-4/MediaObjects/40262_2020_880_MOESM1_ESM.pdf
Fakultät: M - Medizinische Fakultät
NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: M - Innere Medizin
NT - Pharmazie
Professur: M - Prof. Dr. Robert Bals
NT - Prof. Dr. Thorsten Lehr
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Dateien zu diesem Datensatz:
Datei Beschreibung GrößeFormat 
Kovar2020_Article_ComprehensiveParentMetaboliteP.pdf2,88 MBAdobe PDFÖffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons