Literature DB >> 19771510

A biology-based approach for mixture toxicity of multiple endpoints over the life cycle.

Tjalling Jager1, Tine Vandenbrouck, Jan Baas, Wim M De Coen, Sebastiaan A L M Kooijman.   

Abstract

Typical approaches for analyzing mixture ecotoxicity data only provide a description of the data; they cannot explain observed interactions, nor explain why mixture effects can change in time and differ between endpoints. To improve our understanding of mixture toxicity we need to explore biology-based models. In this paper, we present an integrated approach to deal with the toxic effects of mixtures on growth, reproduction and survival, over the life cycle. Toxicokinetics is addressed with a one-compartment model, accounting for effects of growth. Each component of the mixture has its own toxicokinetics model, but all compounds share the effect of body size on uptake kinetics. The toxicodynamic component of the method is formed by an implementation of dynamic energy budget theory; a set of simple rules for metabolic organization that ensures conservation of mass and energy. Toxicant effects are treated as a disruption of regular metabolic processes such as an increase in maintenance costs. The various metabolic processes interact, which means that mixtures of compounds with certain mechanisms of action have to produce a response surface that deviates from standard models (such as 'concentration addition'). Only by separating these physiological interactions from the chemical interactions between mixture components can we hope to achieve generality and a better understanding of mixture effects. For example, a biology-based approach allows for educated extrapolations to other mixtures, other species, and other exposure situations. We illustrate our method with the interpretation of partial life-cycle data for two polycyclic aromatic hydrocarbons in Daphnia magna.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19771510      PMCID: PMC2811243          DOI: 10.1007/s10646-009-0417-z

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  17 in total

1.  Simultaneous modeling of multiple end points in life-cycle toxicity tests.

Authors:  Tjalling Jager; Trudie Crommentuijn; Cornelis A M van Gestel; Sebastiaan A L M Kooijman
Journal:  Environ Sci Technol       Date:  2004-05-15       Impact factor: 9.028

2.  Can the choice of endpoint lead to contradictory results of mixture-toxicity experiments?

Authors:  Nina Cedergreen; Jens C Streibig
Journal:  Environ Toxicol Chem       Date:  2005-07       Impact factor: 3.742

3.  Making sense of ecotoxicological test results: towards application of process-based models.

Authors:  Tjalling Jager; Evelyn H W Heugens; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2006-04-20       Impact factor: 2.823

4.  Modeling the effects of binary mixtures on survival in time.

Authors:  Jan Baas; Bart P P Van Houte; Cornelis A M Van Gestel; Sebastiaan A L M Kooijman
Journal:  Environ Toxicol Chem       Date:  2007-06       Impact factor: 3.742

5.  Chemical mixture toxicology: from descriptive to mechanistic, and going on to in silico toxicology.

Authors:  Raymond S H Yang; Hisham A El-Masri; Russell S Thomas; Ivan D Dobrev; James E Dennison; Dong-Soon Bae; Julie A Campain; Kai H Liao; Brad Reisfeld; Melvin E Andersen; Moiz Mumtaz
Journal:  Environ Toxicol Pharmacol       Date:  2004-11       Impact factor: 4.860

6.  Temporal dynamics of effect concentrations.

Authors:  Olga Alda Alvarez; Tjalling Jager; Beatriz Nuñez Colao; Jan E Kammenga
Journal:  Environ Sci Technol       Date:  2006-04-01       Impact factor: 9.028

7.  Modeling responses of Daphnia magna to pesticide pulse exposure under varying food conditions: intrinsic versus apparent sensitivity.

Authors:  Barry J Pieters; Tjalling Jager; Michiel H S Kraak; Wim Admiraal
Journal:  Ecotoxicology       Date:  2006-10-06       Impact factor: 2.823

8.  Physiologically based pharmacokinetic/pharmacodynamic modeling of the toxicologic interaction between carbon tetrachloride and Kepone.

Authors:  H A el-Masri; R S Thomas; G R Sabados; J K Phillips; A A Constan; S A Benjamin; M E Andersen; H M Mehendale; R S Yang
Journal:  Arch Toxicol       Date:  1996       Impact factor: 5.153

9.  Reproducibility of binary-mixture toxicity studies.

Authors:  Nina Cedergreen; Per Kudsk; Solvejg Kopp Mathiassen; Helle Sørensen; Jens Carl Streibig
Journal:  Environ Toxicol Chem       Date:  2007-01       Impact factor: 3.742

Review 10.  Physiological modeling and extrapolation of pharmacokinetic interactions from binary to more complex chemical mixtures.

Authors:  Kannan Krishnan; Sami Haddad; Martin Béliveau; Robert Tardif
Journal:  Environ Health Perspect       Date:  2002-12       Impact factor: 9.031

View more
  17 in total

1.  Extrapolating toxic effects on individuals to the population level: the role of dynamic energy budgets.

Authors:  Tjalling Jager; Chris Klok
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

2.  Hormesis on life-history traits: is there such thing as a free lunch?

Authors:  Tjalling Jager; Alpar Barsi; Virginie Ducrot
Journal:  Ecotoxicology       Date:  2012-11-25       Impact factor: 2.823

3.  Extrapolating ecotoxicological effects from individuals to populations: a generic approach based on Dynamic Energy Budget theory and individual-based modeling.

Authors:  Benjamin T Martin; Tjalling Jager; Roger M Nisbet; Thomas G Preuss; Monika Hammers-Wirtz; Volker Grimm
Journal:  Ecotoxicology       Date:  2013-02-22       Impact factor: 2.823

4.  In vitro effects of pollutants from particulate and volatile fractions of air samples-day and night variability.

Authors:  Jiří Novák; John P Giesy; Jana Klánová; Klára Hilscherová
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-24       Impact factor: 4.223

5.  Using energy budgets to combine ecology and toxicology in a mammalian sentinel species.

Authors:  Jean-Pierre W Desforges; Christian Sonne; Rune Dietz
Journal:  Sci Rep       Date:  2017-04-07       Impact factor: 4.379

6.  Reproductive and developmental toxicity of the herbicide Betanal® Expert and corresponding active ingredients to Daphnia spp.

Authors:  Tânia Vidal; Joana Luísa Pereira; Nelson Abrantes; Amadeu M V M Soares; Fernando Gonçalves
Journal:  Environ Sci Pollut Res Int       Date:  2016-03-29       Impact factor: 4.223

7.  Modeling physiological processes that relate toxicant exposure and bacterial population dynamics.

Authors:  Tin Klanjscek; Roger M Nisbet; John H Priester; Patricia A Holden
Journal:  PLoS One       Date:  2012-02-06       Impact factor: 3.240

Review 8.  Influence of exposure and toxicokinetics on measures of aquatic toxicity for organic contaminants: a case study review.

Authors:  Peter F Landrum; Peter M Chapman; Jerry Neff; David S Page
Journal:  Integr Environ Assess Manag       Date:  2013-02-20       Impact factor: 2.992

9.  Impact of engineered zinc oxide nanoparticles on the individual performance of Mytilus galloprovincialis.

Authors:  Shannon K Hanna; Robert J Miller; Erik B Muller; Roger M Nisbet; Hunter S Lenihan
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

Review 10.  The pros and cons of ecological risk assessment based on data from different levels of biological organization.

Authors:  Jason R Rohr; Christopher J Salice; Roger M Nisbet
Journal:  Crit Rev Toxicol       Date:  2016-06-24       Impact factor: 6.184

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.