Change search
ReferencesLink to record
Permanent link

Direct link
A database of IC50 values and principal component analysis of results from six basal cytotoxicity assays, for use in the modelling of the in vivo and in vitro data of the EU ACuteTox project.
Show others and affiliations
2008 (English)In: Altern Lab Anim, ISSN 0261-1929, Vol. 36, no 5, 503-19 p.Article in journal (Refereed) Published
Abstract [en]

The main aim of the ACuteTox project (part of the EU 6th Framework programme) is to demonstrate that animal tests for acute systemic toxicity can be replaced by alternative in vitro assays. In this project, data for 97 reference chemicals were collected in the AcuBase database, designed to handle deposited in vitro and in vivo (human and animal) data. To demonstrate the applicability of in vitro basal cytotoxicity tests and in vitro-in vivo modelling, it was deemed necessary to obtain data that were generated via defined standard operating procedures. The molar basal cytotoxicity IC50 values (the 50% inhibitory concentrations for the endpoint measured) for a mouse fibroblast cell line (3T3), a human hepatic cell line (HepG2), a rat hepatic cell line (Fa32), and a human neutrophil cell line (HL-60), were compared, and gave an R(2) correlation of 0.83. To identify chemicals that showed differential cytotoxicity to the various cell types involved, principal component analysis (PCA) was undertaken independently, once all the results had been returned. This showed that colchicine, cycloheximide, digoxin, 5-fluorouracil and hexachlorobenzene gave the lowest correlations with the first score vector of the PCA. The results presented are to be used to identify outliers that need to be further studied via the use of tissue-specific in vitro assays.

Place, publisher, year, edition, pages
2008. Vol. 36, no 5, 503-19 p.
URN: urn:nbn:se:umu:diva-11305PubMedID: 19025321OAI: diva2:150976
Available from: 2008-12-16 Created: 2008-12-16 Last updated: 2013-03-19Bibliographically approved

Open Access in DiVA

No full text

Other links


Search in DiVA

By author/editor
Sjöström, Michael
By organisation
Department of Chemistry

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 113 hits
ReferencesLink to record
Permanent link

Direct link