Literature DB >> 27514991

Combination of Metabolomics with Cellular Assays Reveals New Biomarkers and Mechanistic Insights on Xenoestrogenic Exposures in MCF-7 Cells.

Sarah Potratz1, Patrick Tarnow1, Harald Jungnickel1, Sven Baumann2,3, Martin von Bergen2,4,5, Tewes Tralau1, Andreas Luch1.   

Abstract

The disruptive potential of xenoestrogens like bisphenol A (BPA) lies in their 17β-estradiol (E2)-like binding to estrogen receptors (ERs) followed by concomitant modulation of ER target gene expression. Unsurprisingly, most endocrine testing systems focus on the quantification of canonical transcripts or ER-sensitive reporters. However, only little information is available about the corresponding metabolomic changes in vitro. This knowledge gap becomes particularly relevant in the context of potential mixture effects, for example, as a consequence of coexposure to potentially estrogenically active pollutants (e.g., Cd2+). Such effects are often difficult to dissect with molecular tools, especially with regard to potential physiological relevance. Metabolomic biomarkers are well-suited to address this latter aspect as they provide a comprehensive readout of whole-cell physiology. Applying a targeted metabolomics approach (FIA-MS/MS), this study looked for biomarkers indicative of xenoestrogenic exposure in MCF-7 cells. Cells were treated with E2 and BPA in the presence or absence of Cd2+. Statistical analysis revealed a total of 11 amino acids and phospholipids to be related to the compound's estrogenic potency. Co-exposure to Cd2+ modulated the estrogenic profile. However, the corresponding changes were found to be moderate with cellular assays such as the E-screen failing to record any Cd2+-specific estrogenic effects. Overall, metabolomics analysis identified proline as the most prominent estrogenic biomarker. Its increase could clearly be related to estrogenic exposure and concomitant ERα-mediated induction of proliferation. Involvement of the latter was confirmed by siRNA-mediated knockdown studies as well as by receptor inhibition. Further, the underlying signaling was also found to involve the oncoprotein MYC. Taken together, this study provides insights into the underlying mechanisms of xenoestrogenic effects and exemplify the strength of the complementary use of metabolomics and cellular and molecular assays.

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Year:  2016        PMID: 27514991     DOI: 10.1021/acs.chemrestox.6b00106

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  6 in total

1.  A systematic review of metabolomics biomarkers for Bisphenol A exposure.

Authors:  Mu Wang; Ouyan Rang; Fang Liu; Wei Xia; Yuanyuan Li; Yu Zhang; Songfeng Lu; Shunqing Xu
Journal:  Metabolomics       Date:  2018-03-05       Impact factor: 4.290

2.  Minor structural modifications of bisphenol A strongly affect physiological responses of HepG2 cells.

Authors:  F Padberg; P Tarnow; A Luch; S Zellmer
Journal:  Arch Toxicol       Date:  2019-05-04       Impact factor: 5.153

3.  Translational Metabolomics: Current Challenges and Future Opportunities.

Authors:  Farhana R Pinu; Seyed Ali Goldansaz; Jacob Jaine
Journal:  Metabolites       Date:  2019-06-06

4.  Combinatory Effects of Cerium Dioxide Nanoparticles and Acetaminophen on the Liver-A Case Study of Low-Dose Interactions in Human HuH-7 Cells.

Authors:  Benjamin C Krause; Fabian L Kriegel; Victoria Tartz; Harald Jungnickel; Philipp Reichardt; Ajay Vikram Singh; Peter Laux; Mohamed Shemis; Andreas Luch
Journal:  Int J Mol Sci       Date:  2021-06-25       Impact factor: 5.923

5.  An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization.

Authors:  Isabel Karkossa; Anne Bannuscher; Bryan Hellack; Aileen Bahl; Sophia Buhs; Peter Nollau; Andreas Luch; Kristin Schubert; Martin von Bergen; Andrea Haase
Journal:  Part Fibre Toxicol       Date:  2019-10-25       Impact factor: 9.400

6.  Metabolite Patterns in Human Myeloid Hematopoiesis Result from Lineage-Dependent Active Metabolic Pathways.

Authors:  Lars Kaiser; Helga Weinschrott; Isabel Quint; Markus Blaess; René Csuk; Manfred Jung; Matthias Kohl; Hans-Peter Deigner
Journal:  Int J Mol Sci       Date:  2020-08-24       Impact factor: 5.923

  6 in total

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