Benzo(a)pyrene-induced cytochrome p4501A expression of four freshwater fishes (Oryzias latipes, Danio rerio, Cyprinus carpio, and Zacco platypus)

Lee, Jin Wuk; Yoon, Hong-Gil; Lee, Sung Kyu

doi:10.1016/j.etap.2015.03.010

Cited by 18 publications

(8 citation statements)

References 26 publications

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“…Other potential factors are extrahepatic biotransformation in the intact fish, ,,− incomplete recovery of metabolic enzymes during preparation of the biological material, , or induction of biotransformation enzyme, ,,, during the OECD TG 305 study. Each of these factors could lead to higher in vivo biotransformation as compared to the rate measured in vitro.…”

Section: Resultsmentioning

confidence: 99%

Examining Uncertainty in In Vitro–In Vivo Extrapolation Applied in Fish Bioconcentration Models

Laue

Hostettler

Badertscher

et al. 2020

Environ. Sci. Technol.

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In vitro biotransformation rates were determined for 30 chemicals, mostly fragrance ingredients, using trout liver S9 fractions (RT-S9) and incorporated into in vitro–in vivo extrapolation (IVIVE) models to predict bioconcentration factors (BCFs). Predicted BCFs were compared against empirical BCFs to explore potential major uncertainties involved in the in vitro methods and IVIVE models: (i) in vitro chemical test concentrations; (ii) different gill uptake rate constant calculations (k 1); (iii) protein binding (different calculations and measurement of the fraction of unbound chemical, f U); (iv) species differences; and (v) extrahepatic biotransformation. Predicted BCFs were within 0.5 log units for 44% of the chemicals compared to empirical BCFs, whereas 56% were overpredicted by >0.5 log units. This trend of overprediction was reduced by alternative k 1 calculations to 32% of chemicals being overpredicted. Moreover, hepatic in vitro rates scaled to whole body biotransformation rates (k B) were compared against in vivo k B estimates. In vivo k B was underestimated for 79% of the chemicals. Neither lowering the test concentration, nor incorporation of new measured f U values, nor species matching avoided the tendency to overpredict BCFs indicating that further improvements to the IVIVE models are needed or extrahepatic biotransformation plays an underestimated role.

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Section: Resultsmentioning

confidence: 99%

Examining Uncertainty in In Vitro–In Vivo Extrapolation Applied in Fish Bioconcentration Models

Laue

Hostettler

Badertscher

et al. 2020

Environ. Sci. Technol.

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“…In the red sea bream Pagrus major, expression of Pm-CYP1A1 and Pm-AhR2 is induced simultaneously in a time-dependent and dose-dependent manner (Bo et al, 2010). In a recent study, BaP induced both CYP1A mRNA and protein expressions in liver and gills of four well known model species (freshwater minnow Zacco platypus, zebrafish Danio rerio, Japanese medaka Oryzias latipes, and common carp Cyprinus carpio) (Lee et al, 2015). Moreover, a positive correlation has been observed between CYP1A protein levels and DNA adduct formation in the teleost fish Z. platypus upon exposure to BaP (Lee et al, 2012).…”

Section: Case Study 1: Benzo(a)pyrene-induced Cancer In Fishmentioning

confidence: 93%

Significance of adverse outcome pathways in biomarker-based environmental risk assessment in aquatic organisms

Lee

Won

Raisuddin

et al. 2015

Journal of Environmental Sciences

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“…These processes also lead to the enrichment of toxic and bioaccumulative compounds in aquatic organisms, such as fish [ 2 ]. Fish can be a useful species for biomonitoring aquatic environments because of their ubiquity and key ecological position at a high tropic level in aquatic ecosystems [ 3 , 4 , 5 ]. To understand how fish respond to the stressors of an aquatic environment, the use of complementary biomarkers is recommended for risk monitoring in aquatic ecosystems [ 6 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…It is omnivorous and consumes aquatic insects and algae as main food sources [ 5 ]. At this time, the molecular responses in fish have mostly been studied with respect to the effects of exposures to chemical compounds such as benzo(a)pyrene in Oryzias latipes or Oreochromis niloticus fish [ 4 , 16 ]. The previous reported studies on molecular biomarkers were mostly limited to toxicity tests in the laboratory, using experimental rearing species that are relatively easy to handle.…”

Section: Introductionmentioning

confidence: 99%

Transcriptional Responses of Stress-Related Genes in Pale Chub (Zacco platypus) Inhabiting Different Aquatic Environments: Application for Biomonitoring Aquatic Ecosystems

Kim

Park

et al. 2022

IJERPH

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Pale chub (Zacco platypus) is a dominant species in urban rivers and reservoirs, and it is used as an indicator to monitor the effects of environmental contaminants. Gene responses at the molecular level can reflect the health of fish challenged with environmental stressors. The objective of this study was to identify correlations between water quality factors and the expression of stress-related genes in Z. platypus from different lake environments (Singal and Juam Lakes). To do so, transcriptional responses of genes involving cellular homeostasis (heat-shock protein 70, HSP70; heat-shock protein 90, HSP90), metal detoxification (metallothionein, MT), and antioxidation (superoxide dismutase, SOD; catalase, CAT) were analyzed in the gill and liver tissues of Z. platypus. HSP70, HSP90, and MT genes were overall upregulated in Z. platypus from Singal Lake, which suffered from poorer water quality than Juam Lake. In addition, gene responses were significantly higher in Singal Lake outflow. Upregulation of HSP70, HSP90, and MT was significantly higher in Z. platypus gills than in the liver tissue. In addition, integrated biomarker response and heatmap analysis determined correlations between expression of biomarker genes or water quality factors and sampling sites of both lakes. These results suggest that stress-related genes used as multiple biomarkers may reflect spatial characteristics and water quality of different lake environments, and they can be used for biomonitoring and ecological risk assessment.

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Benzo(a)pyrene-induced cytochrome p4501A expression of four freshwater fishes (Oryzias latipes, Danio rerio, Cyprinus carpio, and Zacco platypus)

Cited by 18 publications

References 26 publications

Examining Uncertainty in In Vitro–In Vivo Extrapolation Applied in Fish Bioconcentration Models

Examining Uncertainty in In Vitro–In Vivo Extrapolation Applied in Fish Bioconcentration Models

Significance of adverse outcome pathways in biomarker-based environmental risk assessment in aquatic organisms

Transcriptional Responses of Stress-Related Genes in Pale Chub (Zacco platypus) Inhabiting Different Aquatic Environments: Application for Biomonitoring Aquatic Ecosystems

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