Metabolomics for in situ environmental monitoring of surface waters impacted by contaminants from both point and nonpoint sources

Environmental Science and Technology

Volumn 48, Issue 4, 2014, Pages 2395-2403

  Skelton, D M ^a   Ekman, D R ^a   Martinovic Weigelt D ^b   Ankley, G T ^a   Villeneuve, D L ^a   Teng, Q ^a   Collette, T W ^a  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b UNIVERSITY OF ST THOMAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALS; CHOLESTEROL; CYPRINIDAE; DISCRIMINANT ANALYSIS; ENVIRONMENTAL MONITORING; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; LEAST-SQUARES ANALYSIS; LIVER; MAGNETIC RESONANCE SPECTROSCOPY; MALE; METABOLOMICS; MINNESOTA; PRINCIPAL COMPONENT ANALYSIS; TRANSCRIPTOME; WASTE DISPOSAL, FLUID; WATER; WATER POLLUTANTS, CHEMICAL; WATER POLLUTION;

EID: 84894255080     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es404021f     Document Type: Article

References (35)

1. Schwarzenbach, R. P.; Escher, B. I.; Fenner, K.; Hofstetter, T. B.; Johnson, C. A.; von Gunten, U.; Wehrli, B. The challenge of micropollutants in aquatic systems Science 2006, 313 (5790) 1072-1077
2. la Farre, M.; Perez, S.; Kantiani, L.; Barcelo, D. Fate and toxicity of emerging pollutants, their metabolites and transformation products in the aquatic environment TrAC, Trends Anal. Chem. 2008, 27 (11) 991-1007
3. Al-Salhi, R.; Abdul-Sada, A.; Lange, A.; Tyler, C. R.; Hill, E. M. The xenometabolome and novel contaminant markers in fish exposed to a wastewater treatment works effluent Environ. Sci. Technol. 2012, 46 (16) 9080-9088
4. Barber, L. B.; Lee, K. E.; Swackhamer, D. L.; Schoenfuss, H. L. Reproductive responses of male fathead minnows exposed to wastewater treatment plant effluent, effluent treated with XAD8 resin, and an environmentally relevant mixture of alkylphenol compounds Aquat. Toxicol. 2007, 82 (1) 36-46
5. Crago, J.; Corsi, S. R.; Weber, D.; Bannerman, R.; Klaper, R. Linking biomarkers to reproductive success of caged fathead minnows in streams with increasing urbanization Chemosphere 2011, 82 (11) 1669-1674
6. Parrott, J. L.; Blunt, B. R. Life-cycle exposure of fathead minnows (Pimephales promelas) to an ethinylestradiol concentration below 1 ng/L reduces egg fertilization success and demasculinizes males Environ. Toxicol. 2005, 20 (2) 131-141
7. Falciani, F.; Diab, A. M.; Sabine, V.; Williams, T. D.; Ortega, F.; George, S. G.; Chipman, J. K. Hepatic transcriptomic profiles of European flounder (Platichthys flesus) from field sites and computational approaches to predict site from stress gene responses following exposure to model toxicants Aquat. Toxicol. 2008, 90 (2) 92-101
8. Garcia-Reyero, N.; Adelman, I. R.; Martinovic, D.; Liu, L.; Denslow, N. D. Site-specific impacts on gene expression and behavior in fathead minnows (Pimephales promelas) exposed in situ to streams adjacent to sewage treatment plants BMC Bioinf. 2009, 10, S11
9. Zhang, Y.; Zhang, X.; Wu, B.; Cheng, S. Evaluating the transcriptomic and metabolic profile of mice exposed to source drinking water Environ. Sci. Technol. 2011, 46 (1) 78-83
10. Williams, T. D.; Wu, H.; Santos, E. M.; Ball, J.; Katsiadaki, I.; Brown, M. M.; Baker, P.; Ortega, F.; Falciani, F.; Craft, J. A.; Tyler, C. R.; Chipman, J. K.; Viant, M. R. Hepatic transcriptomic and metabolomic responses in the stickleback (Gasterosteus aculeatus) exposed to environmentally relevant concentrations of dibenzanthracene Environ. Sci. Technol. 2009, 43 (16) 6341-6348
11. Jones, O. A. H.; Swain, S. C.; Svendsen, C.; Griffin, J. L.; Sturzenbaum, S. R.; Spurgeon, D. J. Potential new method of mixture effects testing using metabolomics and Caenorhabditis elegans J. Proteome Res. 2012, 11 (2) 1446-1453
12. Samuelsson, L. M.; Björlenius, B.; Förlin, L.; Larsson, D. G. J. Reproducible 1H NMR-based metabolomic responses in fish exposed to different sewage effluents in two separate studies Environ. Sci. Technol. 2011, 45 (4) 1703-1710
13. Sellin Jeffries, M. K.; Mehinto, A. C.; Carter, B. J.; Denslow, N. D.; Kolok, A. S. Taking microarrays to the field: Differential hepatic gene expression of caged fathead minnows from Nebraska watersheds Environ. Sci. Technol. 2011, 46 (3) 1877-1885
14. Fiehn, O. Metabolomics-the link between genotypes and phenotypes Plant Mol. Biol. 2002, 48 (1-2) 155-171
15. Bundy, J. G.; Keun, H. C.; Sidhu, J. K.; Spurgeon, D. J.; Svendsen, C.; Kille, P.; Morgan, A. J. Metabolic profile biomarkers of metal contamination in a sentinel terrestrial species are applicable across multiple sites Environ. Sci. Technol. 2007, 41 (12) 4458-4464
16. Viant, M. R.; Rosenblum, E. S.; Tjeerdema, R. S. NMR-based metabolomics: A powerful approach for characterizing the effects of environmental stressors on organism health Environ. Sci. Technol. 2003, 37 (21) 4982-4989
17. Lee, K. E.; Langer, S. K.; Barber, L. B.; Writer, J. H.; Ferrey, M. L.; Schoenfuss, H. L.; Furlong, E. T.; Foreman, W. T.; Gray, J. L.; ReVello, R. C.; Martinovic, D.; Woodruff, O. P.; Keefe, S. H.; Brown, G. K.; Taylor, H. E.; Ferrer, I.; Thurman, E. M. Endocrine active chemicals, pharmaceuticals, and other chemicals of concern in surface water, wastewater-treatment plant effluent, and bed sediment, and biological characteristics in selected streams. Minnesota-design, methods, and data, 2009: U.S. Geological Survey Data Series 575; U.S. Geological Survey: Reston, VA, 2011; 54 p., with appendixes.
18. Martinović-Weigelt, D.; Mehinto, A.; Ankley, G. T.; Denslow, N.; Barber, L. B.; Lee, K.; King, R.; Schoenfuss, H. L.; Villeneuve, D. L. Transcriptomic-based effects monitoring for endocrine active chemicals: Assessing relative contribution of treated wastewater to downstream pollution. Environ. Sci. Technol. DOI: 10.1021/es404027n.
19. Viant, M. R. Revealing the metabolome of animal tissues using H-1 nuclear magnetic resonance spectroscopy. In Methods in Molecular Biology; Weckwerth, W., Ed.; Humana Press Inc: Totowa, NJ, 2007; Vol. 358, pp 229-246.
20. Teng, Q.; Ekman, D. R.; Huang, W. L.; Collette, T. W. Push-through direct injection NMR: An optimized automation method applied to metabolomics Analyst 2012, 137 (9) 2226-2232
21. Collette, T. W.; Teng, Q.; Jensen, K. M.; Kahl, M. D.; Makynen, E. A.; Durhan, E. J.; Villeneuve, D. L.; Martinovic-Weigelt, D.; Ankley, G. T.; Ekman, D. R. Impacts of an anti-androgen and an androgen/anti-androgen mixture on the metabolite profile of male fathead minnow urine Environ. Sci. Technol. 2010, 44 (17) 6881-6886
22. Wishart, D. S.; Knox, C.; Guo, A. C.; Eisner, R.; Young, N.; Gautam, B.; Hau, D. D.; Psychogios, N.; Dong, E.; Bouatra, S.; Mandal, R.; Sinelnikov, I.; Xia, J. G.; Jia, L.; Cruz, J. A.; Lim, E.; Sobsey, C. A.; Shrivastava, S.; Huang, P.; Liu, P.; Fang, L.; Peng, J.; Fradette, R.; Cheng, D.; Tzur, D.; Clements, M.; Lewis, A.; De Souza, A.; Zuniga, A.; Dawe, M.; Xiong, Y. P.; Clive, D.; Greiner, R.; Nazyrova, A.; Shaykhutdinov, R.; Li, L.; Vogel, H. J.; Forsythe, I. HMDB: A knowledgebase for the human metabolome Nucleic Acids Res. 2009, 37, D603-D610
23. Teng, Q.; Huang, W. L.; Collette, T. W.; Ekman, D. R.; Tan, C. A direct cell quenching method for cell-culture based metabolomics Metabolomics 2009, 5 (2) 199-208
24. Ekman, D. R.; Teng, Q.; Jensen, K. M.; Martinovic, D.; Villeneuve, D. L.; Ankley, G. T.; Collette, T. W. NMR analysis of male fathead minnow urinary metabolites: A potential approach for studying impacts of chemical exposures Aquat. Toxicol. 2007, 85 (2) 104-112
25. Grob, K.; Rennhard, S. Evaluation of syringe handling techniques for injections into vaporizing GC injectors J. High Resolution Chromatogr. 1980, 3 (12) 627-633
26. Lommen, A.; Kools, H. J. MetAlign 3.0: Performance enhancement by efficient use of advances in computer hardware Metabolomics 2012, 8 (4) 719-726
27. Bijlsma, S.; Bobeldijk, L.; Verheij, E. R.; Ramaker, R.; Kochhar, S.; Macdonald, I. A.; van Ommen, B.; Smilde, A. K. Large-scale human metabolomics studies: A strategy for data (pre-) processing and validation Anal. Chem. 2006, 78 (2) 567-574
28. Hrydziuszko, O.; Viant, M. Missing values in mass spectrometry based metabolomics: An undervalued step in the data processing pipeline Metabolomics 2012, 8 (1) 161-174
29. Kopka, J.; Schauer, N.; Krueger, S.; Birkemeyer, C.; Usadel, B.; Bergmuller, E.; Dormann, P.; Weckwerth, W.; Gibon, Y.; Stitt, M.; Willmitzer, L.; Fernie, A. R.; Steinhauser, D. GMD@CSB.DB: The Golm Metabolome Database Bioinformatics 2005, 21 (8) 1635-1638
30. Hiller, K.; Hangebrauk, J.; Jager, C.; Spura, J.; Schreiber, K.; Schomburg, D. MetaboliteDetector: Comprehensive analysis tool for targeted and nontargeted GC/MS based metabolome analysis Anal. Chem. 2009, 81 (9) 3429-3439
31. Eriksson, L.; Trygg, J.; Wold, S. CV-ANOVA for significance testing of PLS and OPLS (R) models J. Chemom. 2008, 22 (11-12) 594-600
32. Trygg, J.; Holmes, E.; Lundstedt, T. Chemometrics in metabonomics J. Proteome Res. 2006, 6 (2) 469-479
33. Nicholson, J. K.; Holmes, E.; Lindon, J. C.; Wilson, I. D. The challenges of modeling mammalian biocomplexity Nat. Biotechnol. 2004, 22 (10) 1268-1274
34. Villeneuve, D. L.; Garcia-Reyero, N.; Martinovic-Weigelt, D.; Li, Z. H.; Watanabe, K. H.; Orlando, E. F.; LaLone, C. A.; Edwards, S. W.; Burgoon, L. D.; Denslow, N. D.; Perkins, E. J.; Ankley, G. T. A graphical systems model and tissue-specific functional gene sets to aid transcriptomic analysis of chemical impacts on the female teleost reproductive axis Mutat. Res., Genet. Toxicol. Environ. Mutagen. 2012, 746 (2) 151-162
35. Ekman, D. R.; Teng, Q. N.; Villeneuve, D. L.; Kahl, M. D.; Jensen, K. M.; Durhan, E. J.; Ankley, G. T.; Collette, T. W. Profiling lipid metabolites yields unique information on sex- and time-dependent responses of fathead minnows (Pimephales promelas) exposed to 17 alpha-ethynylestradiol Metabolomics 2009, 5 (1) 22-32