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Chemical- and effect-oriented exposomics: Three Gorges Reservoir (TGR)

  • Processes and Environmental Quality in the Yangtze River System
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Abstract

Exposomic studies of the rapidly changing environment of the Three Gorges Reservoir (TGR) after its impounding is elaborated as a novel field of human and environmental research. Molecular exposomics is focused on the measure of all exposures to molecules and especially persistent organic pollutants-like compounds are of emerging interest due to their lifetime existence in the environment and humans. Theoretical considerations in general and particular for the TGR are deduced and presented using quantitative approaches for this research field. Since exposomics is strongly time-dependent, a theory is presented to link extension of exposure, time, and related effects. Similarity to the first law of thermodynamics is outlined. On top of this, the integrated use of biomarkers is presented employing chemical analysis for biomarkers of exposure and effects, biomarkers in vivo, in vitro approaches and the link between chemical mixtures, and the onset of disease and lethality. Besides real organisms, also virtual organisms are favored to act as well-defined sub-compartments such as fat of biota and with respect to time of exposure. Exposomics is the perspective of risk evaluation and chronic exposures in the running century. It needs novel theories, approaches, and integrated action between medical and environmental disciplines. The existing knowledge about molecular stressors has to be assembled and put into a context especially with respect not only to time resp. lifetime exposure of humans but also eco-toxicological findings by using highly conserved phylogenetic mechanisms to enable links between human and risks of environmental biota. The TGR is a good example not only to employ biomonitoring of real but also virtual organisms due to the lack of established ecotopes in this changing environment so far. Progress in understanding long-term risks requires a proper theory as well as novel tools such as virtual organisms. On top, multidisciplinary approaches and the utilization of existing knowledge about the exposure of the environment and humans have to be merged and directed into mutual concepts. Effect-oriented and chemical analysis must be designed time-oriented to determine lifetime exposures of mankind and nature. Perspectively, a first attempt about exposomic theory and concepts is proposed and has to be developed experimentally further enclosing virtual besides of real organisms and compartments. Environmental and human exposomics have to be considered as a unified global issue in order to effectively utilize their mutual existing knowledge most effectively. The TGR is a challenging model system aiming this objective.

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References

  • Alder, T., Sawyer, K., Shelton-Davenport, M. (2010) The exposome: a powerful approach for evaluating environmental exposures and their influences on human disease. ESEH-committee newsletter, June

  • Bacci E (1994) Ecotoxicology of organic contaminants. Lewis, Boca Raton, p 81

    Google Scholar 

  • Bergmann A, Bi Y, Chen L, Floehr T, Henkelmann B, Holbach A, Hollert H, Hu W, Kranzioch I, Klumpp E, Küppers S, Norra S, Ottermanns R, Pfister G, Roß-Nickoll M, Schäffer A, Schmidt B, Scholz-Starke B, Schramm K-W, Subklew G, Tiehm8 A, Temoka C, Wang J, Westrich B, Wilken R-D, Wolf1 A, Yuan Y (2012) The Yangtze-Project: understanding changes in the water quality of the Three Gorges Dam Reservoir. Environ Sci Pollut R 19(4):1341–1344

    Google Scholar 

  • Druckrey H (1967) Quantitative aspects of chemical carcinogenesis. In: Truhaut R (ed) Evaluation of risks, UICC monograph series. Springer, Berlin, pp 60–77

    Google Scholar 

  • Druckrey VH, Kupfmüller K (1948) Quantitative analyse der krebsentstehung. Z Naturforsch 36:254–266

    Google Scholar 

  • Hense BA, Severin GF, Welzl G, Schramm K-W (2004) Effects of 17α-ethinylestradiol on zoo- and phytoplankton in lentic microcosms. Anal Bioanal Chem 378:716–724

    Article  CAS  Google Scholar 

  • NIOSH (2010) D. Gayle DeBord , Paul Middendorf, Mark D. Hoover, Raymond Biagini Exposome and exposomics http://www.cdc.gov/niosh/topics/exposome/

  • Pandelova M, Schramm K-W (2012) Human and environmental biomonitoring of PCB and HCB in Saxony, Germany. Intl J of Hygiene and Environmental Health 215:220–223

    Article  CAS  Google Scholar 

  • Rappaport SM, Smith MT (2010) Environment and disease risks. Science 330:460

    Article  CAS  Google Scholar 

  • Rozman KK (1998) Quantitative definition of toxicity: a mathematical description of life and death with dose and time as variables. Med Hypotheses 51:175–178

    Article  CAS  Google Scholar 

  • Rozman KK (2000) The role of time in toxicology or Haber’s c × t product. Toxicology 149(1):35–42

    Article  CAS  Google Scholar 

  • Rozman KK, Doull J (2000) Dose and time as variables of toxicity. Toxicology 144(1-3):169–178

    Article  CAS  Google Scholar 

  • Rozman KK, Doull J (2001) Paracelsus, Haber and Arndt. Toxicology 160(1-3):191–196

    Article  CAS  Google Scholar 

  • Rozman KK, Kerecsen L, Viluksela MK, Osterle D, Deml E, Viluksela M, Stahl BU, Greim H, Doull JA (1996) A toxicologist’s view of cancer risk assessment. Drug Metab Rev 28(1-2):29–52

    Article  CAS  Google Scholar 

  • Saracci R, Vineis P (2007) Disease proportions attributable to environment. Environ Health 6:38

    Google Scholar 

  • Schramm K-W, Weber S, Küttner T, Lützke K (1992) Dioxin hair analysis as monitoring pool. Chemosphere 24:351–353

    Article  CAS  Google Scholar 

  • Schramm K-W (1997) Hair: a matrix for non-invasive biomonitoring of organic chemicals in mammals. Bull Environ Contam Toxicol 59:396–402

    Article  CAS  Google Scholar 

  • Schramm K-W, Ghergut I, Behechti A, Rozman KK, Kettrup A (2002) From more to less than Haber’s law. Environ Toxicol Pharmacol 11:227–232

    Article  CAS  Google Scholar 

  • Schramm KW (2008) Hair biomonitoring of organic pollutants. Chemosphere 72:1103–1111

    Article  CAS  Google Scholar 

  • Schramm K-W, Jaser W, Welzl G, Pfister G, Wöhler-Moorhoff GF, Hense BA (2008) Impact of 17α-ethinylestradiol on the plankton in freshwater microcosms: I. Response of zooplankton and abiotic variables. Ecotox Environ Saf 69:437–452

    Article  CAS  Google Scholar 

  • Smolders R, Schramm KW, Stenius U, Grellier J, Kahn A, Trnovec T, Sram R, Schoeters G (2009) Review on the practical application of human biomonitoring in integrated environmental health impact assessment. J Toxicol Environ Heal 12

  • Van Leeuwen CJ, Hermens JLM (eds.) (1996) Risk Assessment of Chemicals: An Introduction. Kluwer Academic Publisher, London

  • Wang J, Bi Y, Pfister G, Henkelmann B, Zhu K, Schramm K-W (2009a) Determination of PAH, PCB, and OCP in water from the Three Gorges Reservoir accumulated by semipermeable membrane devices (SPMD). Chemosphere 75:1119–1127

    Article  CAS  Google Scholar 

  • Wang J, Henkelmann B, Bernhöft S, Pfister G, Bi Y, Zhu K, Schramm K-W (2009b) Dioxin-like activity in water of three gorges reservoir sampled by semipermeable membrane devices. Organohalogen Compounds 71:49–52

    Google Scholar 

  • Wu J, Huang J, Han X, Gao X, He F, Jiang M (2004) The Three Gorges Dam: an ecological perspective. Front Ecol Environ 2:241–248

    Article  Google Scholar 

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Correspondence to Karl-Werner Schramm.

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Responsible editor: Leif Kronberg

This publication is dedicated to Prof. Otto Hutzinger on the occasion of his death at 22 September 2012.

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Schramm, KW., Wang, J., Bi, Y. et al. Chemical- and effect-oriented exposomics: Three Gorges Reservoir (TGR). Environ Sci Pollut Res 20, 7057–7062 (2013). https://doi.org/10.1007/s11356-012-1319-9

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  • DOI: https://doi.org/10.1007/s11356-012-1319-9

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