Literature DB >> 23586690

Metabolomic profiling of in vivo plasma responses to dioxin-associated dietary contaminant exposure in rats: implications for identification of sources of animal and human exposure.

Anthony A O'Kane1, Olivier P Chevallier, Stewart F Graham, Christopher T Elliott, Mark H Mooney.   

Abstract

Dioxin contamination of the food chain typically occurs when cocktails of combustion residues or polychlorinated biphenyl (PCB) containing oils become incorporated into animal feed. These highly toxic compounds are bioaccumulative with small amounts posing a major health risk. The ability to identify animal exposure to these compounds prior to their entry into the food chain may be an invaluable tool to safeguard public health. Dioxin-like compounds act by a common mode of action and this suggests that markers or patterns of response may facilitate identification of exposed animals. However, secondary co-contaminating compounds present in typical dioxin sources may affect responses to compounds. This study has investigated for the first time the potential of a metabolomics platform to distinguish between animals exposed to different sources of dioxin contamination through their diet. Sprague-Dawley rats were given feed containing dioxin-like toxins from hospital incinerator soot, a common PCB oil standard and pure 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) (normalized at 0.1 μg/kg TEQ) and acquired plasma was subsequently biochemically profiled using ultra high performance liquid chromatography (UPLC) quadropole time-of-flight-mass spectrometry (QTof-MS). An OPLS-DA model was generated from acquired metabolite fingerprints and validated which allowed classification of plasma from individual animals into the four dietary exposure study groups with a level of accuracy of 97-100%. A set of 24 ions of importance to the prediction model, and which had levels significantly altered between feeding groups, were positively identified as deriving from eight identifiable metabolites including lysophosphatidylcholine (16:0) and tyrosine. This study demonstrates the enormous potential of metabolomic-based profiling to provide a powerful and reliable tool for the detection of dioxin exposure in food-producing animals.

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Year:  2013        PMID: 23586690     DOI: 10.1021/es305345u

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  6 in total

1.  Reference Standardization for Mass Spectrometry and High-resolution Metabolomics Applications to Exposome Research.

Authors:  Young-Mi Go; Douglas I Walker; Yongliang Liang; Karan Uppal; Quinlyn A Soltow; ViLinh Tran; Frederick Strobel; Arshed A Quyyumi; Thomas R Ziegler; Kurt D Pennell; Gary W Miller; Dean P Jones
Journal:  Toxicol Sci       Date:  2015-09-09       Impact factor: 4.849

2.  Metabolomics Reveals that Aryl Hydrocarbon Receptor Activation by Environmental Chemicals Induces Systemic Metabolic Dysfunction in Mice.

Authors:  Limin Zhang; Emmanuel Hatzakis; Robert G Nichols; Ruixin Hao; Jared Correll; Philip B Smith; Christopher R Chiaro; Gary H Perdew; Andrew D Patterson
Journal:  Environ Sci Technol       Date:  2015-06-12       Impact factor: 9.028

3.  Global metabolite profiles of rice brown planthopper-resistant traits reveal potential secondary metabolites for both constitutive and inducible defenses.

Authors:  Umaporn Uawisetwathana; Olivier P Chevallier; Yun Xu; Wintai Kamolsukyeunyong; Intawat Nookaew; Thapakorn Somboon; Theerayut Toojinda; Apichart Vanavichit; Royston Goodacre; Christopher T Elliott; Nitsara Karoonuthaisiri
Journal:  Metabolomics       Date:  2019-11-19       Impact factor: 4.290

4.  A facile and sensitive method for quantification of cyclic nucleotide monophosphates in mammalian organs: basal levels of eight cNMPs and identification of 2',3'-cIMP.

Authors:  Xin Jia; Benjamin M Fontaine; Fred Strobel; Emily E Weinert
Journal:  Biomolecules       Date:  2014-12-12

5.  Development, characterization and comparisons of targeted and non-targeted metabolomics methods.

Authors:  Anton Ribbenstedt; Haizea Ziarrusta; Jonathan P Benskin
Journal:  PLoS One       Date:  2018-11-15       Impact factor: 3.240

6.  Metabolomics coupled with pathway analysis characterizes metabolic changes in response to BDE-3 induced reproductive toxicity in mice.

Authors:  Ziheng Wei; Jing Xi; Songyan Gao; Xinyue You; Na Li; Yiyi Cao; Liupeng Wang; Yang Luan; Xin Dong
Journal:  Sci Rep       Date:  2018-04-03       Impact factor: 4.379

  6 in total

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