Literature DB >> 9559575

Parallel dose-response curves in combination experiments.

J Sühnel1.   

Abstract

A possible experimental design for combination experiments is to compare the dose-response curve of a single agent with the corresponding curve of the same agent using either a fixed amount of a second one or a fixed dose ratio. No interaction is then often defined by a parallel shift of these curves. We have performed a systematic study for various types of dose-response relations both for the dose-additivity (Loewe additivity) and for the independence (Bliss independence) criteria for defining zero interaction. Parallelism between dose-response curves of a single agent and those of the same agent in the presence of a fixed amount of another one is found for the Loewe-additivity criterion for linear dose-response relations. For nonlinear relations, one has to differentiate between effect parallelism (parallel shift on the effect scale) and dose parallelism (parallel shift on the dose scale). In the case of Loewe additivity, zero-interaction dose parallelism is found for power, Weibull, median-effect and logistic dose-response relations, given that special parameter relationships are fulfilled. The mechanistic model of competitive interaction exhibits dose parallelism but not effect parallelism for Loewe additivity. Bliss independence and Loewe additivity lead to identical results for exponential dose-response curves. This is the only case for which dose parallelism was found for Bliss independence. Parallelism between single-agent dose-response relations and Loewe additivity mixture relations is found for examples with a fixed dose-ratio design. However, this is again not a general property of the design adopted but holds only if special conditions are fulfilled. The comparison of combination dose-response curves with single-agent relations has to be performed taking into account both potency and shape parameters. The results of this analysis lead to the conclusion that parallelism between zero interaction combination and single-agent dose-response relations is found only for special cases and cannot be used as a general criterion for defining zero-interaction in combined-action assessment even if the correct potency shift is taken into account.

Entities:  

Mesh:

Year:  1998        PMID: 9559575     DOI: 10.1006/bulm.1997.0009

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  9 in total

1.  Biphasic characteristic of interactions between stiripentol and carbamazepine in the mouse maximal electroshock-induced seizure model: a three-dimensional isobolographic analysis.

Authors:  Jarogniew J Luszczki; Stanislaw J Czuczwar
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2006-09-14       Impact factor: 3.000

2.  Synergy between verapamil and other multidrug -resistance modulators in model membranes.

Authors:  Madeleine Castaing; Alain Loiseau; Athel Cornish-Bowden
Journal:  J Biosci       Date:  2007-06       Impact factor: 1.826

3.  Env-glycoprotein heterogeneity as a source of apparent synergy and enhanced cooperativity in inhibition of HIV-1 infection by neutralizing antibodies and entry inhibitors.

Authors:  Thomas J Ketas; Sophie Holuigue; Katie Matthews; John P Moore; Per Johan Klasse
Journal:  Virology       Date:  2011-10-22       Impact factor: 3.616

4.  Three-dimensional isobolographic analysis of interactions between lamotrigine and clonazepam in maximal electroshock-induced seizures in mice.

Authors:  Jarogniew J Luszczki; Stanislaw J Czuczwar
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2004-10-23       Impact factor: 3.000

5.  Isobolographic analysis of the antidepressant interaction in two-drug combinations of citalopram, bupropion, and scopolamine in mice.

Authors:  Mohammad-Hossein Mohammadi-Mahdiabadi-Hasani; Mohaddeseh Ebrahimi-Ghiri; Fatemeh Khakpai; Mohammad-Reza Zarrindast
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2022-04-19       Impact factor: 3.000

6.  Antagonistic Pharmacological Interaction between Sirtuin Inhibitor Cambinol and Paclitaxel in Triple-Negative Breast Cancer Cell Lines: An Isobolographic Analysis.

Authors:  Anna Wawruszak; Jarogniew Luszczki; Estera Okon; Arkadiusz Czerwonka; Andrzej Stepulak
Journal:  Int J Mol Sci       Date:  2022-06-09       Impact factor: 6.208

7.  Cannabidiol Interacts Antagonistically with Cisplatin and Additively with Mitoxantrone in Various Melanoma Cell Lines-An Isobolographic Analysis.

Authors:  Paweł Marzęda; Paula Wróblewska-Łuczka; Małgorzata Drozd; Magdalena Florek-Łuszczki; Katarzyna Załuska-Ogryzek; Jarogniew J Łuszczki
Journal:  Int J Mol Sci       Date:  2022-06-17       Impact factor: 6.208

Review 8.  International issues on human health effects of exposure to chemical mixtures.

Authors:  Victor J Feron; Flemming R Cassee; John P Groten; Petronella W van Vliet; Job A van Zorge
Journal:  Environ Health Perspect       Date:  2002-12       Impact factor: 9.031

9.  Emax model and interaction index for assessing drug interaction in combination studies.

Authors:  J Jack Lee; Heather Y Lin; Diane D Liu; Maiying Kong
Journal:  Front Biosci (Elite Ed)       Date:  2010-01-01
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.