Evidence-based absorption, distribution, metabolism, excretion (ADME) and its interplay with alternative toxicity methods

Lade...
Vorschaubild
Dateien
Tsaioun_0-376941.pdf
Tsaioun_0-376941.pdfGröße: 2.55 MBDownloads: 1038
Datum
2016
Autor:innen
Tsaioun, Katya
Blaauboer, Bas J.
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Gold
Sammlungen
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Alternatives to Animal Experimentation : ALTEX. 2016, 33(4), pp. 343-358. ISSN 0946-7785. eISSN 1868-8551. Available under: doi: 10.14573/altex.1610101
Zusammenfassung

ADME (absorption, distribution, metabolism, elimination) has rapidly evolved over the past two decades, creating a unique interdisciplinary interface between medicinal chemists, biologists, formulators, toxicologists, clinicians, and regulators across industries, but has advanced most rapidly in the pharmaceutical industry. The implementation of ADME profiling of drug candidates, in conjunction with biological efficacy and safety optimization, has dramatically reduced pharmacokinetic drug failures in clinical trials and has become a lingua franca between disciplines that are involved in drug development. This article briefly reviews the basics and current state-of-the-art of ADME and the major lessons from the pharmaceutical industry on its efficient use, points out the importance of defining ADME properties leading to toxicity across industries for safety and toxicity prediction of chemicals, and raises the issues of quality, reliability, and reproducibility of tests and inclusion of ADME under the umbrella of evidence-based toxicology. Increasingly, in vitro results are used to inform ADME assessments and computer modeling. The aspects of kinetics of substances in cellular models themselves, however, are still too often neglected. ADME information will play a critical role in establishing quantitative in vitro to in vivo extrapolations (QIVIVE), integrated testing strategies, and systems toxicology approaches.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
ADME, pharmacokinetics (PK), physiologically-based pharmacokinetic (PBPK) model, systems toxicology, evidence-based toxicology
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690TSAIOUN, Katya, Bas J. BLAAUBOER, Thomas HARTUNG, 2016. Evidence-based absorption, distribution, metabolism, excretion (ADME) and its interplay with alternative toxicity methods. In: Alternatives to Animal Experimentation : ALTEX. 2016, 33(4), pp. 343-358. ISSN 0946-7785. eISSN 1868-8551. Available under: doi: 10.14573/altex.1610101
BibTex
@article{Tsaioun2016Evide-37782,
  year={2016},
  doi={10.14573/altex.1610101},
  title={Evidence-based absorption, distribution, metabolism, excretion (ADME) and its interplay with alternative toxicity methods},
  number={4},
  volume={33},
  issn={0946-7785},
  journal={Alternatives to Animal Experimentation : ALTEX},
  pages={343--358},
  author={Tsaioun, Katya and Blaauboer, Bas J. and Hartung, Thomas}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/37782">
    <dc:creator>Blaauboer, Bas J.</dc:creator>
    <dcterms:title>Evidence-based absorption, distribution, metabolism, excretion (ADME) and its interplay with alternative toxicity methods</dcterms:title>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:language>eng</dc:language>
    <dc:contributor>Hartung, Thomas</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/37782/3/Tsaioun_0-376941.pdf"/>
    <dc:creator>Hartung, Thomas</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/37782/3/Tsaioun_0-376941.pdf"/>
    <dcterms:abstract xml:lang="eng">ADME (absorption, distribution, metabolism, elimination) has rapidly evolved over the past two decades, creating a unique interdisciplinary interface between medicinal chemists, biologists, formulators, toxicologists, clinicians, and regulators across industries, but has advanced most rapidly in the pharmaceutical industry. The implementation of ADME profiling of drug candidates, in conjunction with biological efficacy and safety optimization, has dramatically reduced pharmacokinetic drug failures in clinical trials and has become a lingua franca between disciplines that are involved in drug development. This article briefly reviews the basics and current state-of-the-art of ADME and the major lessons from the pharmaceutical industry on its efficient use, points out the importance of defining ADME properties leading to toxicity across industries for safety and toxicity prediction of chemicals, and raises the issues of quality, reliability, and reproducibility of tests and inclusion of ADME under the umbrella of evidence-based toxicology. Increasingly, in vitro results are used to inform ADME assessments and computer modeling. The aspects of kinetics of substances in cellular models themselves, however, are still too often neglected. ADME information will play a critical role in establishing quantitative in vitro to in vivo extrapolations (QIVIVE), integrated testing strategies, and systems toxicology approaches.</dcterms:abstract>
    <dc:contributor>Blaauboer, Bas J.</dc:contributor>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/37782"/>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-02-28T16:07:19Z</dc:date>
    <dc:contributor>Tsaioun, Katya</dc:contributor>
    <dcterms:issued>2016</dcterms:issued>
    <dc:creator>Tsaioun, Katya</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-02-28T16:07:19Z</dcterms:available>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen