Abstract
Cadmium (Cd) is an environmental pollutant that accumulates in the organisms causing serious health problems. Over the past decades, omics studies have been conducted trying to elucidate changes in the genome, the transcriptome or the proteome after Cd exposure. Metabolomics is relatively new to the omics revolution, but has shown enormous potential for investigating biological systems or their perturbations. When metabolomic data are interpreted in combination with genomic, transcriptomic and proteomic results, in the so-called systems biology approach, a holistic knowledge of the organism/process under investigation can be achieved. In this work, transcriptional and proteomic analysis (functional genomics) were combined with metabolomic workflow to evaluate the biological responses caused in Mus musculus mice by Cd (subcutaneous injection for 10 consecutive days). Animals showed high Cd levels in liver and plasma, drastic lipid peroxidation in liver, increased transcription of hepatic genes involved in oxidative stress, metal transport, immune response and lipid metabolism and moderate decreases of DNA repair genes mRNAs. 2DE-DIGE proteomics confirmed changes of hepatic proteins related to stress and immune responses, or involved in energy metabolism, suggesting a metabolic switch in the liver from oxidative phosphorylation to aerobic glycolysis, that was confirmed by metabolomics analysis, via DIMS and GC–MS. This metabolic alteration is particularly important for highly proliferating cells, like tumor cells, which requires a continuous supply of precursors for the synthesis of lipids, proteins and nucleic acids. The metabolic changes observed in mouse liver by metabolomics and the oxidative stress detected via functional genomics could be in the base of Cd hepatocarcinogenicity.
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Acknowledgments
This project received Grants CTM2012-38720-C03-01 and CTM2012-38720-C03-02 from the Ministerio de Economia y Competitividad-Spain; BIO1675, P12-FQM-00442 and P09-FQM-04659 from the Consejería de Innovación, Andalusian government. M. A. García-Sevillano thanks to Ministerio de Educación for a predoctoral grant.
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The authors declare no conflict of interest.
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Animals were handled according to the directive 2010/63/EU stipulated by the European Community, and the study was approved by the Ethics Committees of University of Córdoba and Huelva Universities (Spain).
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M. A. García-Sevillano and N. Abril have contributed equally to this work and should be considered first authors.
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Supporting Information Fig. 1. Experimental design showing the animals per treatment group ant the pooling of the samples for the different assays. Supplementary material 4 (PPTX 1021 kb)
11306_2015_801_MOESM5_ESM.pptx
Supporting Information Fig. 2. Virtual two-dimensional differential in gel electrophoresis (2D-DIGE) images for comparison of control and 10-days Cd-treated liver mice proteomes. Equal amounts of Cy2 (IS, internal standard with equally mixed samples), Cy5 (control, untreated mice), and Cy3 (10-days Cd treated mice) labeled samples were mixed and then separated on analytical 2D-DIGE. Gels were scanned and a set of Cy5, Cy3, and Cy2 (A) images were obtained from each gel. An overlay of three dye scan-images was also obtained (B). The spot intensities and the relative expression ratio were computed using the DeCyder 6.5 software (Amersham Biosciences). Statistical significances were determined with the Student’s t-test. As an example, circles in (B) mark some spots whose intensities increased (red) or decreased (green) in relation to the IS because of the Cd treatment; for these four spots, the symbol of the identified protein and the fold-change variation (statistically significant at a P value of ≤ 0.05) are indicated and the number assigned to the spot, the Mw and the Ip are given in brackets). The remarked sponts are highlated in (C), where the intensity and direction of the change is also shown. Supplementary material 5 (PPTX 1871 kb)
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García-Sevillano, M.A., Abril, N., Fernández-Cisnal, R. et al. Functional genomics and metabolomics reveal the toxicological effects of cadmium in Mus musculus mice. Metabolomics 11, 1432–1450 (2015). https://doi.org/10.1007/s11306-015-0801-z
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DOI: https://doi.org/10.1007/s11306-015-0801-z