Literature DB >> 4021503

The expected effect of a combination of agents: the general solution.

M C Berenbaum.   

Abstract

Interactions between agents (drugs, carcinogens, physiological stimuli, environmental pollutants, etc.) in producing their effects are of fundamental interest and practical importance in virtually every branch of biology and medicine. A combination of agents is said to show interaction when the magnitude of its effect is greater or smaller than expected, expectation being based on the dose-effect relations of the individual agents in the combination. The crux of the matter is to decide what is expected, and various rules have been proposed to this end (for example, that the expected effect is the sum of the effects of the individual constituents of the combination, or that it is the product of these effects, or that it may be calculated from the law of mass action). These rules are valid for combinations of agents with particular and rather restricted types of dose-effect relations, but they have no general validity. A general solution to this problem is given here, that enables the effects of non-interactive combinations to be calculated directly from the dose-effect relations of the individual agents (whether expressed algebraically or numerically), regardless of the particular types of dose-effect relations involved. This solution is based on the fact that, when an effect of particular magnitude is produced by a combination of n agents which do not interact to produce that effect, the point representing the combination in the n-dimensional space spanned by the dose-axes of the individual agents lies in the same (n-1)-dimensional hyperplane as those representing other combinations iso-effective with it and iso-effective amounts of the individual agents. Methods for calculating the effect of a non-interactive combination as the sum or product of the effects of its constituents, or from the law of mass action, each of which is correct in appropriate cases, may be deduced (without invoking mechanisms of action) by applying this general principle to particular types of dose-effect relations.

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Year:  1985        PMID: 4021503     DOI: 10.1016/s0022-5193(85)80176-4

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  75 in total

1.  Antagonistic interaction between the convulsant activities of pefloxacin and its main metabolite norfloxacin in rats.

Authors:  A Delon; L M Levasseur; M Giraudon; S Bouquet; W Couet
Journal:  Pharm Res       Date:  1999-12       Impact factor: 4.200

2.  Mixture toxicity of priority pollutants at no observed effect concentrations (NOECs).

Authors:  Helge Walter; Federica Consolaro; Paola Gramatica; Martin Scholze; Rolf Altenburger
Journal:  Ecotoxicology       Date:  2002-10       Impact factor: 2.823

3.  Implications and problems in analysing cytotoxic activity of hydroxyurea in combination with a potential inhibitor of ribonucleotide reductase.

Authors:  G Nocentini; A Barzi; P Franchetti
Journal:  Cancer Chemother Pharmacol       Date:  1990       Impact factor: 3.333

4.  The scientific assessment of combined effects of risk factors: different approaches in experimental biosciences and epidemiology.

Authors:  Wolfgang Boedeker; Thomas Backhaus
Journal:  Eur J Epidemiol       Date:  2010-05-22       Impact factor: 8.082

5.  Optimal design for the precise estimation of an interaction threshold: the impact of exposure to a mixture of 18 polyhalogenated aromatic hydrocarbons.

Authors:  Sharon D Yeatts; Chris Gennings; Kevin M Crofton
Journal:  Risk Anal       Date:  2012-05-28       Impact factor: 4.000

6.  High affinity and covalent-binding microtubule stabilizing agents show activity in chemotherapy-resistant acute myeloid leukemia cells.

Authors:  Benet Pera; M Nieves Calvo-Vidal; Srikanth Ambati; Michel Jordi; Alissa Kahn; J Fernando Díaz; Weishuo Fang; Karl-Heinz Altmann; Leandro Cerchietti; Malcolm A S Moore
Journal:  Cancer Lett       Date:  2015-08-12       Impact factor: 8.679

7.  Association between pterostilbene and quercetin inhibits metastatic activity of B16 melanoma.

Authors:  Paula Ferrer; Miguel Asensi; Ramón Segarra; Angel Ortega; María Benlloch; Elena Obrador; María T Varea; Gregorio Asensio; Leonardo Jordá; José M Estrela
Journal:  Neoplasia       Date:  2005-01       Impact factor: 5.715

8.  The study of combined action of agents using differential geometry of dose-effect surfaces.

Authors:  G K Lam
Journal:  Bull Math Biol       Date:  1992-09       Impact factor: 1.758

9.  Counter-current chromatography based analysis of synergy in an anti-tuberculosis ethnobotanical.

Authors:  Taichi Inui; Yuehong Wang; Shixin Deng; David C Smith; Scott G Franzblau; Guido F Pauli
Journal:  J Chromatogr A       Date:  2007-02-04       Impact factor: 4.759

10.  Analysis of antimalarial synergy between bestatin and endoprotease inhibitors using statistical response-surface modelling.

Authors:  C S Gavigan; S G Machado; J P Dalton; A Bell
Journal:  Antimicrob Agents Chemother       Date:  2001-11       Impact factor: 5.191

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