Literature DB >> 22437818

ECVAM and new technologies for toxicity testing.

Michel Bouvier d'Yvoire1, Susanne Bremer, Silvia Casati, Mara Ceridono, Sandra Coecke, Raffaella Corvi, Chantra Eskes, Laura Gribaldo, Claudius Griesinger, Holger Knaut, Jens P Linge, Annett Roi, Valérie Zuang.   

Abstract

The development of alternative empirical (testing) and non-empirical (non-testing) methods to traditional toxicological tests for complex human health effects is a tremendous task. Toxicants may potentially interfere with a vast number of physiological mechanisms thereby causing disturbances on various levels of complexity of human physiology. Only a limited number of mechanisms relevant for toxicity ('pathways' of toxicity) have been identified with certainty so far and, presumably, many more mechanisms by which toxicants cause adverse effects remain to be identified. Recapitulating in empirical model systems (i.e., in vitro test systems) all those relevant physiological mechanisms prone to be disturbed by toxicants and relevant for causing the toxicity effect in question poses an enormous challenge. First, the mechanism(s) of action of toxicants in relation to the most relevant adverse effects of a specific human health endpoint need to be identified. Subsequently, these mechanisms need to be modeled in reductionist test systems that allow assessing whether an unknown substance may operate via a specific (array of) mechanism(s). Ideally, such test systems should be relevant for the species of interest, i.e., based on human cells or modeling mechanisms present in humans. Since much of our understanding about toxicity mechanisms is based on studies using animal model systems (i.e., experimental animals or animal-derived cells), designing test systems that model mechanisms relevant for the human situation may be limited by the lack of relevant information from basic research. New technologies from molecular biology and cell biology, as well as progress in tissue engineering, imaging techniques and automated testing platforms hold the promise to alleviate some of the traditional difficulties associated with improving toxicity testing for complex endpoints. Such new technologies are expected (1) to accelerate the identification of toxicity pathways with human relevance that need to be modeled in test methods for toxicity testing (2) to enable the reconstruction of reductionist test systems modeling at a reduced level of complexity the target system/organ of interest (e.g., through tissue engineering, use of human-derived cell lines and stem cells etc.), (3) to allow the measurement of specific mechanisms relevant for a given health endpoint in such test methods (e.g., through gene and protein expression, changes in metabolites, receptor activation, changes in neural activity etc.), (4) to allow to measure toxicity mechanisms at higher throughput rates through the use of automated testing. In this chapter, we discuss the potential impact of new technologies on the development, optimization and use of empirical testing methods, grouped according to important toxicological endpoints. We highlight, from an ECVAM perspective, the areas of topical toxicity, skin absorption, reproductive and developmental toxicity, carcinogenicity/genotoxicity, sensitization, hematopoeisis and toxicokinetics and discuss strategic developments including ECVAM's database service on alternative methods. Neither the areas of toxicity discussed nor the highlighted new technologies represent comprehensive listings which would be an impossible endeavor in the context of a book chapter. However, we feel that these areas are of utmost importance and we predict that new technologies are likely to contribute significantly to test development in these fields. We summarize which new technologies are expected to contribute to the development of new alternative testing methods over the next few years and point out current and planned ECVAM projects for each of these areas.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22437818     DOI: 10.1007/978-1-4614-3055-1_10

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  7 in total

1.  Isolation, culture, and identification of duck intestinal epithelial cells and oxidative stress model constructed.

Authors:  Hao Zhang; Fang Chen; Zhen-Hua Liang; Yan Wu; Jin-Song Pi
Journal:  In Vitro Cell Dev Biol Anim       Date:  2019-08-05       Impact factor: 2.416

2.  Metabolomics-based approach for assessing the toxicity mechanisms of dibutyl phthalate to abalone (Haliotis diversicolor supertexta).

Authors:  Jin Zhou; Baiyang Chen; Zhonghua Cai
Journal:  Environ Sci Pollut Res Int       Date:  2014-11-22       Impact factor: 4.223

3.  Protective Effect of Resveratrol on Immortalized Duck Intestinal Epithelial Cells Exposed to H2O2.

Authors:  Ning Zhou; Yong Tian; Hongzhi Wu; Yongqing Cao; Ruiqing Li; Kang Zou; Wenwu Xu; Lizhi Lu
Journal:  Molecules       Date:  2022-05-31       Impact factor: 4.927

4.  Stem Cell-Derived Immature Human Dorsal Root Ganglia Neurons to Identify Peripheral Neurotoxicants.

Authors:  Lisa Hoelting; Stefanie Klima; Christiaan Karreman; Marianna Grinberg; Johannes Meisig; Margit Henry; Tamara Rotshteyn; Jörg Rahnenführer; Nils Blüthgen; Agapios Sachinidis; Tanja Waldmann; Marcel Leist
Journal:  Stem Cells Transl Med       Date:  2016-03-01       Impact factor: 6.940

5.  Ex vivo culture of intestinal crypt organoids as a model system for assessing cell death induction in intestinal epithelial cells and enteropathy.

Authors:  T Grabinger; L Luks; F Kostadinova; C Zimberlin; J P Medema; M Leist; T Brunner
Journal:  Cell Death Dis       Date:  2014-05-15       Impact factor: 8.469

Review 6.  Bridging the Data Gap From in vitro Toxicity Testing to Chemical Safety Assessment Through Computational Modeling.

Authors:  Qiang Zhang; Jin Li; Alistair Middleton; Sudin Bhattacharya; Rory B Conolly
Journal:  Front Public Health       Date:  2018-09-11

7.  Toxicity and Activity of Ethanolic Leaf Extract of Paullinia pinnata Linn (Sapindaceae) in Shigella flexneri-Induced Diarrhea in Wistar Rats.

Authors:  Maximilienne Ascension Nyegue; Alian Désiré Afagnigni; Youchahou Njankouo Ndam; Steve Valdi Djova; Marie Christine Fonkoua; François-Xavier Etoa
Journal:  J Evid Based Integr Med       Date:  2020 Jan-Dec
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.