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Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
Published on: April 28, 2023
Biomarkers in toxicology and risk assessment: informing critical dose-response relationships
James A Swenberg1, Elizabeth Fryar-Tita, Yo-Chan Jeong
1Department of Environmental Sciences & Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, USA. jswenber@email.unc.edu
Abstract:
Tremendous advances have been made in the study of biomarkers related to carcinogenesis during the past 20 years. This perspective will briefly review improvements in methodology and instrumentation that have increased our abilities to measure the formation, repair, and consequences of DNA adducts. These biomarkers of exposure, along with surrogates such as protein adducts, have greatly improved our understanding of species differences in metabolism and effects of chemical stability and DNA repair on tissue differences in molecular dose. During this same time frame, improvements in assays for biomarkers of effect have provided better data and an improved understanding of the dose responses for both gene and chromosomal mutations. A framework analysis approach was used to examine the mode of action of genotoxic chemicals and the default assumption that cancer can be expected to be linear at very low doses. This analysis showed that biomarkers of exposure are usually linear at low doses, with the exception being when identical adducts are formed endogenously. Whereas biomarkers of exposure extrapolate down to zero, biomarkers of effect can only be interpolated back to the spontaneous or background number of mutations. The likely explanation for this major difference is that at high exposures, the biology that results in mutagenesis is driven by DNA damage resulting from the chemical exposure. In contrast, at very low exposures, the biology that results in mutagenesis is driven by endogenous DNA damage. The shapes of the dose-response curves for biomarkers of exposure and effect can be very different, with biomarkers of effect better informing quantitative estimates of risk for cancer, a disease that results from multiple mutations. It is also clear, however, that low dose data on mutagenesis are needed for many more chemicals.
Insights
Advances in DNA adducts and mutation biomarkers improve cancer risk assessment. Biomarkers of effect are crucial for understanding low-dose mutagenesis and cancer, especially when endogenous DNA damage is a factor.
Area of Science:
- Biomarkers of Carcinogenesis
- Molecular Toxicology
- Cancer Epidemiology
Background:
- Significant progress in understanding carcinogenesis biomarkers over two decades.
- Methodological and instrumental advancements enhance the measurement of DNA adducts (formation, repair, consequences).
- Surrogates like protein adducts aid in understanding species-specific metabolism and DNA repair effects on molecular dose.
Purpose of the Study:
- To review advancements in biomarkers for carcinogenesis.
- To analyze the dose-response relationships of genotoxic chemicals using a framework analysis approach.
- To compare the utility of biomarkers of exposure versus biomarkers of effect in cancer risk assessment.
Main Methods:
- Review of improvements in methodology and instrumentation for measuring DNA adducts.
- Analysis of assays for biomarkers of effect, including gene and chromosomal mutations.
- Framework analysis to examine the mode of action of genotoxic chemicals and low-dose extrapolation.
Main Results:
- Biomarkers of exposure generally show linear dose-response, except for endogenous adducts.
- Biomarkers of effect are essential for interpolating low-dose mutagenesis data back to background mutation levels.
- At high exposures, mutagenesis is driven by chemical-induced DNA damage; at low exposures, it's driven by endogenous DNA damage.
Conclusions:
- Biomarkers of effect provide better quantitative cancer risk estimates than biomarkers of exposure, particularly for multi-mutation diseases like cancer.
- Significant differences exist in dose-response curves between exposure and effect biomarkers.
- Further research on low-dose mutagenesis data for numerous chemicals is necessary.
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