PUBLICATION
Metabolic disruption of zebrafish (Danio rerio) embryos by bisphenol A. An integrated metabolomic and transcriptomic approach
- Authors
- Ortiz-Villanueva, E., Navarro-Martín, L., Jaumot, J., Benavente, F., Sanz-Nebot, V., Piña, B., Tauler, R.
- ID
- ZDB-PUB-170808-6
- Date
- 2017
- Source
- Environmental pollution (Barking, Essex : 1987) 231: 22-36 (Journal)
- Registered Authors
- Piña, Benjamin
- Keywords
- Bisphenol A, Metabolic disruption, Non-targeted metabolomics, Transcriptomics, Zebrafish
- MeSH Terms
-
- Animals
- Benzhydryl Compounds/toxicity*
- Chromatography, Liquid
- Endocrine Disruptors/toxicity*
- Fish Proteins/chemistry
- Fish Proteins/genetics*
- Fish Proteins/metabolism
- Mass Spectrometry
- Metabolome/drug effects
- Metabolomics/methods
- Phenols/toxicity*
- Transcriptome/drug effects
- Zebrafish/genetics
- Zebrafish/growth & development
- Zebrafish/metabolism*
- PubMed
- 28780062 Full text @ Environ. Pollut.
- CTD
- 28780062
Citation
Ortiz-Villanueva, E., Navarro-Martín, L., Jaumot, J., Benavente, F., Sanz-Nebot, V., Piña, B., Tauler, R. (2017) Metabolic disruption of zebrafish (Danio rerio) embryos by bisphenol A. An integrated metabolomic and transcriptomic approach. Environmental pollution (Barking, Essex : 1987). 231:22-36.
Abstract
Although bisphenol A (BPA) is commonly recognized as an endocrine disruptor, the metabolic consequences of its exposure are still poorly understood. In this study, we present a non-targeted LC-MS based metabolomic analysis in combination with a full-genome, high-throughput RNA sequencing (RNA-Seq) to reveal the metabolic effects and the subjacent regulatory pathways of exposing zebrafish embryos to BPA during the first 120 hours post-fertilization. We applied multivariate data analysis methods to extract biochemical information from the LC-MS and RNA-Seq complex datasets and to perform testable predictions of the phenotypic adverse effects. Metabolomic and transcriptomic data revealed a similar subset of altered pathways, despite the large difference in the number of identified biomarkers (around 50 metabolites and more than 1000 genes). These results suggest that even a moderate coverage of zebrafish metabolome may be representative of the global metabolic changes. These multi-omic responses indicate a specific metabolic disruption by BPA affecting different signaling pathways, such as retinoid and prostaglandin metabolism. The combination of transcriptomic and metabolomic data allowed a dynamic interpretation of the results that could not be drawn from either single dataset. These results illustrate the utility of -omic integrative analyses for characterizing the physiological effects of toxicants beyond the mere indication of the affected pathways.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping