Literature DB >> 22141365

Environmental contaminant mixtures at ambient concentrations invoke a metabolic stress response in goldfish not predicted from exposure to individual compounds alone.

Julia Jordan1, Ava Zare, Leland J Jackson, Hamid R Habibi, Aalim M Weljie.   

Abstract

Environmental contaminants from wastewater and industrial or agricultural areas are known to have adverse effects on development, reproduction, and metabolism. However, reliable assessment of environmental contaminant impact at low (i.e., ambient) concentrations using genomics and transcriptomics approaches has proven challenging. A goldfish model was used to investigate the effects of aquatic pollutant exposure in vivo by means of quantitative nuclear magnetic resonance metabolomics in multiple organs to elucidate a system-wide response. Animals were exposed to 4,4'-isopropylidenediphenol (Bisphenol-A, BPA), di-(2-ethylhexyl)-phthalate (DEHP), and nonylphenol (NP). Metabolite-specific spectral analysis combined with pathway-driven bioinformatics indicated changes in energy and lipid metabolism in liver following exposure to individual contaminants and a tertiary mixture. A dissimilar response in testis exposed to DEHP and mixture indicates disrupted AMPK and cAMP signaling. Uniquely, our observations (1) suggest that exposure to a contaminant mixture is characterized by a stress response not predicted from exposure to individual contaminants, even in the absence of other phenotypic features and (2) demonstrate the sensitivity of metabolomics in risk-assessment of environmental toxicant mixtures at ambient concentrations by detecting early stage metabolic dysregulation. These findings have general applicability in the assessment of "benign" compound mixtures in environmental and pharmaceutical development.

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Year:  2011        PMID: 22141365     DOI: 10.1021/pr200840b

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  13 in total

1.  Metabolomic responses to pre-chlorinated and final effluent wastewater with the addition of a sub-lethal persistent contaminant in Daphnia magna.

Authors:  Nicole D Wagner; Paul A Helm; André J Simpson; Myrna J Simpson
Journal:  Environ Sci Pollut Res Int       Date:  2019-02-04       Impact factor: 4.223

2.  Transcripts of genes encoding reproductive neuroendocrine hormones and androgen receptor in the brain and testis of goldfish exposed to vinclozolin, flutamide, testosterone, and their combinations.

Authors:  Mahdi Golshan; Hamid R Habibi; Sayyed Mohammad Hadi Alavi
Journal:  Fish Physiol Biochem       Date:  2016-02-22       Impact factor: 2.794

3.  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

4.  Drinking water treatment is not associated with an observed increase in neural tube defects in mice.

Authors:  Vanessa E Melin; David W Johnstone; Felicia A Etzkorn; Terry C Hrubec
Journal:  Environ Monit Assess       Date:  2014-02-05       Impact factor: 2.513

Review 5.  Computational tools for the secondary analysis of metabolomics experiments.

Authors:  Sean C Booth; Aalim M Weljie; Raymond J Turner
Journal:  Comput Struct Biotechnol J       Date:  2013-02-06       Impact factor: 7.271

6.  Application of Passive Sampling to Characterise the Fish Exometabolome.

Authors:  Mark R Viant; Jessica Elphinstone Davis; Cathleen Duffy; Jasper Engel; Craig Stenton; Marion Sebire; Ioanna Katsiadaki
Journal:  Metabolites       Date:  2017-02-14

Review 7.  The State-of-the Art of Environmental Toxicogenomics: Challenges and Perspectives of "Omics" Approaches Directed to Toxicant Mixtures.

Authors:  Carla Martins; Kristian Dreij; Pedro M Costa
Journal:  Int J Environ Res Public Health       Date:  2019-11-26       Impact factor: 3.390

8.  Tissue accumulation of microplastics in mice and biomarker responses suggest widespread health risks of exposure.

Authors:  Yongfeng Deng; Yan Zhang; Bernardo Lemos; Hongqiang Ren
Journal:  Sci Rep       Date:  2017-04-24       Impact factor: 4.379

9.  Nonylphenol aggravates non-alcoholic fatty liver disease in high sucrose-high fat diet-treated rats.

Authors:  Jie Yu; Xuesong Yang; Xuefeng Yang; Mengxue Yang; Pan Wang; Yu Yang; Jing Yang; Wenmei Li; Jie Xu
Journal:  Sci Rep       Date:  2018-02-19       Impact factor: 4.379

Review 10.  EDCs Mixtures: A Stealthy Hazard for Human Health?

Authors:  Edna Ribeiro; Carina Ladeira; Susana Viegas
Journal:  Toxics       Date:  2017-02-07
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