Abstract:As contaminant exposures in aquatic ecosystems continue to increase, the need for streamlining research efforts in environmental toxicology using predictive frameworks also grows. One such framework is the adverse outcome pathway (AOP). An AOP framework organizes and utilizes toxicological information to connect measurable molecular endpoints to an adverse outcome of regulatory relevance via a series of events at different levels of biological organization. Molecular endpoints or biomarkers are essential to de… Show more
“…These interlinked pathways can be assembled into AOPs and serve as a foundation for the development of a mechanistic understanding of toxicity and disease. Therefore, AOPs play an essential role in the ecological risk assessment of environmental contaminants (Ankley et al, 2010;Khan et al, 2020).…”
Section: Adverse Outcome Pathways-gaps In Terms Of Ecotoxicity and Nmsmentioning
The importance of the cladoceran Daphnia as a model organism for ecotoxicity testing has been well-established since the 1980s. Daphnia have been increasingly used in standardised testing of chemicals as they are well characterised and show sensitivity to pollutants, making them an essential indicator species for environmental stress. The mapping of the genomes of D. pulex in 2012 and D. magna in 2017 further consolidated their utility for ecotoxicity testing, including demonstrating the responsiveness of the Daphnia genome to environmental stressors. The short lifecycle and parthenogenetic reproduction make Daphnia useful for assessment of developmental toxicity and adaption to stress. The emergence of nanomaterials (NMs) and their safety assessment has introduced some challenges to the use of standard toxicity tests which were developed for soluble chemicals. NMs have enormous reactive surface areas resulting in dynamic interactions with dissolved organic carbon, proteins and other biomolecules in their surroundings leading to a myriad of physical, chemical, biological, and macromolecular transformations of the NMs and thus changes in their bioavailability to, and impacts on, daphnids. However, NM safety assessments are also driving innovations in our approaches to toxicity testing, for both chemicals and other emerging contaminants such as microplastics (MPs). These advances include establishing more realistic environmental exposures via medium composition tuning including pre-conditioning by the organisms to provide relevant biomolecules as background, development of microfluidics approaches to mimic environmental flow conditions typical in streams, utilisation of field daphnids cultured in the lab to assess adaption and impacts of pre-exposure to pollution gradients, and of course development of mechanistic insights to connect the first encounter with NMs or MPs to an adverse outcome, via the key events in an adverse outcome pathway. Insights into these developments are presented below to inspire further advances and utilisation of these important organisms as part of an overall environmental risk assessment of NMs and MPs impacts, including in mixture exposure scenarios.
“…These interlinked pathways can be assembled into AOPs and serve as a foundation for the development of a mechanistic understanding of toxicity and disease. Therefore, AOPs play an essential role in the ecological risk assessment of environmental contaminants (Ankley et al, 2010;Khan et al, 2020).…”
Section: Adverse Outcome Pathways-gaps In Terms Of Ecotoxicity and Nmsmentioning
The importance of the cladoceran Daphnia as a model organism for ecotoxicity testing has been well-established since the 1980s. Daphnia have been increasingly used in standardised testing of chemicals as they are well characterised and show sensitivity to pollutants, making them an essential indicator species for environmental stress. The mapping of the genomes of D. pulex in 2012 and D. magna in 2017 further consolidated their utility for ecotoxicity testing, including demonstrating the responsiveness of the Daphnia genome to environmental stressors. The short lifecycle and parthenogenetic reproduction make Daphnia useful for assessment of developmental toxicity and adaption to stress. The emergence of nanomaterials (NMs) and their safety assessment has introduced some challenges to the use of standard toxicity tests which were developed for soluble chemicals. NMs have enormous reactive surface areas resulting in dynamic interactions with dissolved organic carbon, proteins and other biomolecules in their surroundings leading to a myriad of physical, chemical, biological, and macromolecular transformations of the NMs and thus changes in their bioavailability to, and impacts on, daphnids. However, NM safety assessments are also driving innovations in our approaches to toxicity testing, for both chemicals and other emerging contaminants such as microplastics (MPs). These advances include establishing more realistic environmental exposures via medium composition tuning including pre-conditioning by the organisms to provide relevant biomolecules as background, development of microfluidics approaches to mimic environmental flow conditions typical in streams, utilisation of field daphnids cultured in the lab to assess adaption and impacts of pre-exposure to pollution gradients, and of course development of mechanistic insights to connect the first encounter with NMs or MPs to an adverse outcome, via the key events in an adverse outcome pathway. Insights into these developments are presented below to inspire further advances and utilisation of these important organisms as part of an overall environmental risk assessment of NMs and MPs impacts, including in mixture exposure scenarios.
“…Using the AOP framework, Khan et al (2020) showed that early events on molecular levels can be connected to important effects on bivalves organisms, which can be used as relevant biomarkers for the assessment of environmental risk related to the presence of contaminants of emerging concern [16].…”
Section: Examples Of Aop Uses In Studies Of Biomarkersmentioning
The Adverse Outcome Pathway (AOP) framework has been considered the most innovative tool to collect, organize, and evaluate relevant information on the toxicological effects of chemicals, facilitating the establishment of links between molecular events and adverse outcomes at the critical level of biological organization. Considering the combination of the high volume of toxicological and ecotoxicological data produced and the application of artificial intelligence algorithms from the last few years, not only can higher mechanistic interpretability be reached with new in silico models, but also a potential increase in predictivity in hazard assessments and the identification of new potential biomarkers can be achieved. The current paper aims to discuss some potential challenges and ways of integrating in silico models and AOPs to predict toxicological effects and to set and relate new biomarkers for defined purposes. With the use of the AOP framework to organize the ecotoxicological, toxicological, and structural data generated from in chemico, in vitro, ex vivo, in vivo, and population studies, it is expected that the generated biological and chemical construct will improve its application, establishing a knowledge platform to set and relate new biomarkers by key event relationships (KERs).
“…Therefore, it may be a valuable early toxicological warning signal to recognize and identify biomarkers before those irreversible abnormalities. Molecular biomarkers, such as DNA methylation, histone modification, chromatin remodeling, and noncoding RNA related to epigenetic methods, have received widespread attention as early warning indicators of pollutant exposure. , Among these factors, DNA methylation can change the homeostasis of the genome, leading to conformational changes in chromatin DNA, alterations in DNA stability, and the abnormal expression of structural and functional proteins. These changes will cause normal cell cycle inhibition, abnormal differentiation, and cell apoptosis. , To date, environmental contaminants, including trace elements, persistent organic pollutants (POPs), and endocrine disruptors (EDCs) have been found to induce DNA methylation via in vitro and in vivo assays. , These results indicate that DNA methylation may be an important biomarker of environmental chemical exposure and consequent changes to the aquatic ecosystem. − …”
Section: Introductionmentioning
confidence: 99%
“…Molecular biomarkers, such as DNA methylation, histone modification, chromatin remodeling, and noncoding RNA related to epigenetic methods, have received widespread attention as early warning indicators of pollutant exposure. 16,17 Among these factors, DNA methylation can change the homeostasis of the genome, leading to conformational changes in chromatin DNA, alterations in DNA stability, and the abnormal expression of structural and functional proteins. These changes will cause normal cell cycle inhibition, abnormal differentiation, and cell apoptosis.…”
The increased detection of many prescription
drugs in aquatic environments
has heightened concerns of their potential ecotoxicological effects.
In this study, the effects of metformin (MEF) exposure on tissue accumulation,
gene expression, and global DNA methylation (GDM) in zebrafish were
investigated. The toxic mechanism of MEF exposure was simulated by
molecular dynamics (MD) to reveal any conformational changes to DNA
methyltransferase 1 (DNMT1). The results showed MEF accumulation in
the gills, gut, and liver of zebrafish after 30 days of exposure,
and the bioaccumulation capacity was in the order of gut > liver
>
gills. After a 30 day recovery period, MEF could still be detected
in zebrafish tissues in groups exposed to MEF concentrations ≥
10 μg/L. Moreover, the liver was the main site of GDM, and the
restoration of GDM in the liver was slower than that in the gut and
gills during the recovery period. Furthermore, MEF could induce the
abnormal expression of CYP3A65, GSTM1, p53, and DNMT1
genes in the liver due to the formation of hydrogen bonds between
MEF and the protein residues of those genes. The MD simulation allowed
for the mechanistic determination of MEF-induced three-dimensional
(3D) conformational changes and changes to the catalytic activity
of DNMT1.
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