Towards a physiological response of fishes under variable environmental conditions: An approach through neural network

Mukherjee, Joyita; Moniruzzaman, Mahammed; Chakraborty, Suman Bhusan; Lek, Sovan; Ray, Santanu

doi:10.1016/j.ecolind.2017.03.038

Cited by 18 publications

(4 citation statements)

References 64 publications

(65 reference statements)

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“…Therefore, impacts of environmental variables (such as temperature and pH) and growth dilution on ADME processes of chemicals in fish species are assumed crucial. 12 Besides, unlike human PBTK models, obvious interspecific variation in sensitivity across various fish species cannot be ignored, which may significantly influence the reliability of chemical ecological risk assessment results. 13 Despite the increasing development of fish PBTK models, some critical issues in construction and validation of models still exist: (1) many models were oversimplified without involving the main biological pathways and target tissues of chemicals.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, fish physiological properties can also be altered by complicated environmental conditions. Therefore, impacts of environmental variables (such as temperature and pH) and growth dilution on ADME processes of chemicals in fish species are assumed crucial . Besides, unlike human PBTK models, obvious interspecific variation in sensitivity across various fish species cannot be ignored, which may significantly influence the reliability of chemical ecological risk assessment results …”

Section: Introductionmentioning

confidence: 99%

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Fish Physiologically Based Toxicokinetic Modeling Approach for In Vitro–In Vivo and Cross-Species Extrapolation of Endocrine-Disrupting Chemicals in Risk Assessment

Xie,

Xu,

et al. 2024

Environ. Sci. Technol.

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High-throughput in vitro assays combined with in vitro−in vivo extrapolation (IVIVE) leverage in vitro responses to predict the corresponding in vivo exposures and thresholds of concern. The integrated approach is also expected to offer the potential for efficient tools to provide estimates of chemical toxicity to various wildlife species instead of animal testing. However, developing fish physiologically based toxicokinetic (PBTK) models for IVIVE in ecological applications is challenging, especially for plausible estimation of an internal effective dose, such as fish equivalent concentration (FEC). Here, a fish PBTK model linked with the IVIVE approach was established, with parameter optimization of chemical unbound fraction, pH-dependent ionization and hepatic clearance, and integration of temperature effect and growth dilution. The fish PBTK−IVIVE approach provides not only a more precise estimation of tissue-specific concentrations but also a reasonable approximation of FEC targeting the estrogenic potency of endocrine-disrupting chemicals. Both predictions were compared with in vivo data and were accurate for most indissociable/dissociable chemicals. Furthermore, the model can help determine cross-species variability and sensitivity among the five fish species. Using the available IVIVE-derived FEC with target pathways is helpful to develop predicted no-effect concentration for chemicals with similar mode of action and support screening-level ecological risk assessment.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fish Physiologically Based Toxicokinetic Modeling Approach for In Vitro–In Vivo and Cross-Species Extrapolation of Endocrine-Disrupting Chemicals in Risk Assessment

Xie,

Xu,

et al. 2024

Environ. Sci. Technol.

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“…The large volume of contaminants in the aquatic ecosystem, may induce oxidative stress on the biota including fish, causing temporary or permanent damage in oxidative homeostasis and imbalance of metabolic pathways (12,14). Biomarkers including antioxidant defence enzymes have been used immensely to provide the link between external concentrations of contaminant exposure, internal concentrations of contaminant in tissue and early adverse effects in organism (15,16,17), as such provide critical information on ecosystem structure and function (5).…”

Section: Introductionmentioning

confidence: 99%

“…Silver coloured African Catfish Chrysichthys nigrodigitatus (Lacepede 1802) is a commercial fish of high value among indigenous African populations (21). It is a benthopelagic fish, whose diet components includes sand particles, phytoplankton, zooplanktons and macrobenthic organisms (22,23). This fish inhabits the lagoon, and its feeding habits predisposes it to metal accumulation, hence there is a possibility that contaminants in the lagoon may exert stress, induce oxidative damage to physiological processes and ultimately affect the wild population.…”

Section: Introductionmentioning

confidence: 99%

Biomarker profile of a silver catfish Chrysicthys Nigrodigitatus in heavy metal polluted areas of the Lagos Lagoon, Nigeria

Ajani¹

2020

PNgAS

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Aquatic ecosystems are usually exposed to contaminants including heavy metals from anthropogenic activities and high concentration of these metals may alter physiological function in fish muscle. Assessment of biomarker profile will provide the role of antioxidant defence enzymes in response to metal accumulation. The present study aims to find the relationship between biomarker pattern in fish muscle and the contribution of antioxidant defence enzymes to sustain balance from metal toxicity. Adult fish (Chrysicthys nigrodigitatus), water and sediment samples were taken from five sampling stations, during the wet and dry season in the Lagos Lagoon. Heavy metals (lead, cadmium, chromium, copper, zinc, iron) levels, antioxidant defence enzyme activity (superoxide dismutase, catalase, glutathione peroxidase, reduced glutathione) and malondialdehyde were analysed in fish muscle using standards methods. Heavy metal levels showed significant difference (p<0.05) in fish muscles, water and sediment, with values above recommended standard for aquatic life. PCA showed that elevated activities of antioxidant defence enzymes correlated with increase metal concentrations within the fish muscle, which may indicate possible oxidative stress. Hence, measures should be implemented and sustained in the treatment of effluents before discharging into the aquatic habitat so as to reduce stress and sustained the wild population.

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Comparative proteomic and transcriptomic analysis reveals high pH–induced expression signatures of Chinese shrimp Fenneropenaeus chinensis

Tang

et al. 2021

Funct Integr Genomics

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Towards a physiological response of fishes under variable environmental conditions: An approach through neural network

Cited by 18 publications

References 64 publications

Fish Physiologically Based Toxicokinetic Modeling Approach for In Vitro–In Vivo and Cross-Species Extrapolation of Endocrine-Disrupting Chemicals in Risk Assessment

Fish Physiologically Based Toxicokinetic Modeling Approach for In Vitro–In Vivo and Cross-Species Extrapolation of Endocrine-Disrupting Chemicals in Risk Assessment

Biomarker profile of a silver catfish Chrysicthys Nigrodigitatus in heavy metal polluted areas of the Lagos Lagoon, Nigeria

Comparative proteomic and transcriptomic analysis reveals high pH–induced expression signatures of Chinese shrimp Fenneropenaeus chinensis

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