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

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.

[1]  K. Schramm Hair-biomonitoring of organic pollutants. , 2008, Chemosphere.

[2]  Theo Vermeire,et al.  Risk assessment of chemicals : an introduction , 2007 .

[3]  Stephen M Rappaport,et al.  Environment and Disease Risks , 2010, Science.

[4]  K. Schramm,et al.  Determination of PAH, PCB, and OCP in water from the Three Gorges Reservoir accumulated by semipermeable membrane devices (SPMD). , 2009, Chemosphere.

[5]  K. Schramm,et al.  From more to less than Haber's law. , 2002, Environmental toxicology and pharmacology.

[6]  Karl-Werner Schramm,et al.  A Review on the Practical Application of Human Biomonitoring in Integrated Environmental Health Impact Assessment , 2009, Journal of toxicology and environmental health. Part B, Critical reviews.

[7]  Jianhui Huang,et al.  The Three Gorges Dam: an ecological perspective , 2004 .

[8]  K. Schramm,et al.  Impact of 17alpha-ethinylestradiol on the plankton in freshwater microcosms--I: response of zooplankton and abiotic variables. , 2008, Ecotoxicology and environmental safety.

[9]  Eros Bacci,et al.  Ecotoxicology of Organic Contaminants , 1993 .

[10]  K. Schramm Hair: A Matrix for Non-Invasive Biomonitoring of Organic Chemicals in Mammals , 1997, Bulletin of environmental contamination and toxicology.

[11]  Quantitative definition of toxicity: a mathematical description of life and death with dose and time as variables. , 1998, Medical hypotheses.

[12]  H. Greim,et al.  A toxicologist's view of cancer risk assessment. , 1996, Drug metabolism reviews.

[13]  P. Vineis,et al.  Disease proportions attributable to environment , 2007, Environmental health : a global access science source.

[14]  K. Küpfmüller,et al.  Quantitative Analyse der Krebsentstehung , 1948 .

[15]  K K Rozman,et al.  The role of time in toxicology or Haber's c x t product. , 2000, Toxicology.

[16]  K. Schramm,et al.  Effects of 17α-ethinylestradiol on zoo- and phytoplankton in lentic microcosms , 2004 .

[17]  Karl-Werner Schramm,et al.  Dioxin hair analysis as monitoring pool , 1992 .

[18]  J. Doull,et al.  Dose and time as variables of toxicity. , 2000, Toxicology.

[19]  K. Schramm,et al.  Human and environmental biomonitoring of polychlorinated biphenyls and hexachlorobenzene in Saxony, Germany based on the German Environmental Specimen Bank. , 2012, International journal of hygiene and environmental health.

[20]  J. Doull,et al.  Paracelsus, Haber and Arndt. , 2001, Toxicology.

[21]  K. Schramm,et al.  The Yangtze-Hydro Project: a Chinese–German environmental program , 2012, Environmental Science and Pollution Research.