Evidence map›Paper›PMID 32166575›Full record

ArticleClinical pharmacokinetics2020

Comprehensive Parent-Metabolite PBPK/PD Modeling Insights into Nicotine Replacement Therapy Strategies.

Lukas Kovar, Dominik Selzer, Hannah Britz, Neal Benowitz, Gideon St Helen, Yvonne Kohl, Robert Bals, Thorsten Lehr

Abstract read
In one paragraph

Article in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Continuous Nicotine Monitors for Personal Nicotine Pharmacokinetics: A Receptor-Aware Research Agenda.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Review
  3. Article
  4. Process and System Clearances in Pharmacokinetic Models: Our Basic Clearance Concepts Are Correct.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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.

Lukas KovarClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany.
Dominik SelzerClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany.
Hannah BritzClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany.
Neal BenowitzDepartment of Medicine, University of California, San Francisco, CA, USA.
Gideon St HelenDepartment of Medicine, University of California, San Francisco, CA, USA.
Yvonne KohlFraunhofer Institute for Biomedical Engineering IBMT, Sulzbach, Germany.
Robert BalsDepartment of Internal Medicine V, Saarland University, Homburg, Germany.
Thorsten LehrClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany. thorsten.lehr@mx.uni-saarland.de.ORCID 0000-0002-8372-1465

Funding

Research Support CoreP30DA012393 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON, JONES, REESE T. · 1999 to 2024
$17.1M
NIDA NIH HHS P30 DA012393
6 · The paper itself

Abstract

backgroundNicotine, 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.

objectivesThe 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.

methodsA 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 profiles and 11 heart rate profiles. Among others, cytochrome P450 (CYP) 2A6 and 2B6 enzymes were implemented, including kinetics for CYP2A6 poor metabolizers.

resultsThe model is able to precisely describe and predict both nicotine plasma and brain tissue concentrations, cotinine plasma concentrations, and heart rate profiles. 100% of the predicted area under the concentration-time curve (AUC) and maximum concentration (C

conclusionsOur PBPK/PD model may be helpful in further investigations of nicotine dependence and smoking cessation strategies. As the model represents the first nicotine PBPK/PD model predicting nicotine concentration and heart rate profiles after the use of e-cigarettes, it could also contribute to a better understanding of the recent increase in youth e-cigarette use.

Indexed as

Electronic Nicotine Delivery SystemsSmoking CessationTobacco Use Cessation DevicesCotinineHumansNicotineCotinineNicotine

Identifiers

PMID32166575
PMCPMC7467963

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.