Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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A molecular and phenotypic integrative approach to identify a no effect dose level for anti-androgen induced testicular toxicity


ABSTRACT: With the advent of high information content technologies, especially microarrays, it is pertinent to determine the impact of molecular data on the NOAELs. Consequently, we conducted an integrative study to identify a no transcriptomic effect dose using microarray analyses coupled with qPCR and determined how this correlated with the NOAEL. We assessed the testicular effects of the antiandrogen, flutamide (FM), in a rat 28-day toxicity study using doses of 0.2-30 mg/kg/day. Concerning molecular data, we observed differential gene expression starting from 1 mg/kg/day and a deregulation of more than 1500 genes at 30 mg/kg/day. Dose-related changes were identified for the major pathways associated with the testicular lesion (eg fatty acid metabolism), that were confirmed by qPCR. These data, along with standard measurements supported the no effect dose of 0.2 mg/kg/day. Flutamide was administered in suspension to rats (7 weeks old at start of treatment, 10 per group) by oral gavage at a daily dose of 0 (control), 0.2, 1, 6 and 30 mg/kg body weight, for 28 consecutive days. Dose-related changes in gene expression were determined in the testes using whole genome oligonucleotide microarrays.

ORGANISM(S): Rattus norvegicus

SUBMITTER: Sophie Ludwig 

PROVIDER: E-GEOD-28202 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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A molecular and phenotypic integrative approach to identify a no-effect dose level for antiandrogen-induced testicular toxicity.

Ludwig Sophie S   Tinwell Helen H   Schorsch Frédéric F   Cavaillé Christel C   Pallardy Marc M   Rouquié David D   Bars Rémi R  

Toxicological sciences : an official journal of the Society of Toxicology 20110427 1


The safety assessment of chemicals for humans relies on identifying no-observed adverse effect levels (NOAELs) in animal toxicity studies using standard methods. With the advent of high information content technologies, especially microarrays, it is pertinent to determine the impact of molecular data on the NOAELs. Consequently, we conducted an integrative study to identify a no-transcriptomic effect dose using microarray analyses coupled with quantitative reverse transcriptase PCR (RT-qPCR) and  ...[more]

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