In vitro toxicity model: Upgrades to bridge the gap between preclinical and clinical research.


Journal

Bosnian journal of basic medical sciences
ISSN: 1840-4812
Titre abrégé: Bosn J Basic Med Sci
Pays: Bosnia and Herzegovina
ID NLM: 101200947

Informations de publication

Date de publication:
01 May 2020
Historique:
received: 22 07 2019
accepted: 29 09 2019
pubmed: 18 10 2019
medline: 20 3 2021
entrez: 18 10 2019
Statut: epublish

Résumé

The Centers for Disease Control and Prevention (CDC) provides extensive data that indicate our need for drugs to maintain human population health. Despite the substantial availability of drugs on the market, many patients lack specific drugs. New drugs are required to tackle this issue. Moreover, we need more reliable models for testing drug toxicity, as too many drug approval failures occur with the current models. This article briefly describes various approaches of the currently used models for toxicity screening, to justify the selection of in vitro cell-based models. Cell-based toxicity models have the best potential to reliably predict drug toxicity in humans, as they are developed using the cells of the target organism. However, currently, a large gap exists between in vitro cell-based approach to toxicity testing and the clinical approach, which may be contributing to drug approval failures. We propose improvements to in vitro cell-based toxicity models, which is often an insight approach, to better match this approach with the clinical homeostatic approach. This should enable a more accurate comparison of data between the preclinical as well as clinical models and provide a more comprehensive understanding of human physiology and biological effects of drugs.

Identifiants

pubmed: 31621554
doi: 10.17305/bjbms.2019.4378
pmc: PMC7202182
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

157-168

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Auteurs

Eneko Madorran (E)

Institute of Anatomy, Histology and Embryology, Faculty of Medicine, University of Maribor, Maribor, Slovenia; Department of Pharmacology, Faculty of Medicine, University of Maribor, Maribor, Slovenia.

Andraž Stožer (A)

Institute of Physiology, Faculty of Medicine, University of Maribor, Maribor, Slovenia.

Sebastjan Bevc (S)

Department of Pharmacology, Faculty of Medicine, University of Maribor, Maribor, Slovenia; Department of Nephrology, Clinic for Internal Medicine, University Medical Center Maribor, Maribor, Slovenia.

Uroš Maver (U)

Department of Pharmacology, Faculty of Medicine, University of Maribor, Maribor, Slovenia; Institute of Biomedical Sciences, Faculty of Medicine, University of Maribor, Maribor, Slovenia.

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Classifications MeSH