Towards a spatiotemporally explicit toxicokinetic-toxicodynamic model for earthworm toxicity.

07:00 EST 5th March 2020 | BioPortfolio

Summary of "Towards a spatiotemporally explicit toxicokinetic-toxicodynamic model for earthworm toxicity."

The aim of the environmental risk assessment of chemicals is the prevention of unacceptable adverse effects on the environment. Therefore, the risk assessment for in-soil organisms, such as earthworms, is based on two key elements: the exposure assessment and the effect assessment. In the current risk assessment scheme, these two elements are not linked. While for the exposure assessment, advanced exposure models can take the spatial and temporal scale of substances into account, the effect assessment in the lower tiers considers only a limited temporal and spatial variability. However, for soil organisms, such as earthworms, those scales play a significant role as species move through the soil in response to environmental factors. To overcome this gap, we propose a conceptual integration of pesticide exposure, ecology, and toxicological effects on earthworms using a modular modeling approach. An essential part of this modular approach is the environment module, which utilizes exposure models to provide spatially and temporally explicit information on environmental variables (e.g., temperature, moisture, organic matter content) and chemical concentrations. The behavior module uses this information and simulates the feeding and movement of different earthworm species using a trait-based approach. The resulting exposure can be processed by a toxicokinetic-toxicodynamic (TKTD) module. TKTD models are particularly suitable to make effect predictions for time-variable exposure situations as they include the processes of uptake, elimination, internal distribution, and biotransformation of chemicals and link the internal concentration to an effect at the organism level. The population module incorporates existing population models of different earthworm species. The modular approach is illustrated using a case study with an insecticide. Our results emphasize that using a modular model approach will facilitate the integration of exposure and effects and thus enhance the risk assessment of soil organisms.


Journal Details

This article was published in the following journal.

Name: The Science of the total environment
ISSN: 1879-1026
Pages: 137673


DeepDyve research library

PubMed Articles [12523 Associated PubMed Articles listed on BioPortfolio]

An energy-based model to analyze growth data of earthworms exposed to two fungicides.

The pesticide risk assessment for earthworms is currently performed using standardized tests, the model species Eisenia fetida, and the analyses of the data obtained are performed with ad hoc statisti...

Exploring QSAR modeling of toxicity of chemicals on earthworm.

Earthworm provides sustainability towards the agroecosystem which can be degraded day by day by the extensive use of pesticides (e.g., fungicides, insecticides and herbicides). The present study attem...

Toxicokinetic-Toxicodynamic Modeling of the Effects of Pesticides on Growth of .

Ecological risk assessment is carried out for chemicals such as pesticides before they are released into the environment. Such risk assessment currently relies on summary statistics gathered in standa...

Do toxicokinetic and toxicodynamic processes hold the same for light and heavy rare earth elements in terrestrial organism Enchytraeus crypticus?

The widespread use of rare earth elements (REEs) in numerous sectors have resulted in their release into the environment. Existing knowledge about the effects of REEs were acquired mainly based on tox...

The vital function of humic acid with different molecular weight in controlling Cd and Pb bioavailability and toxicity to earthworm (Eisenia fetida) in soil.

Humic acid (HA) plays vital roles in regulating the environmental behaviors of metals and thus their toxicity to biota. However, the inner relation between metal bioavailability to soil organisms and ...

Clinical Trials [4786 Associated Clinical Trials listed on BioPortfolio]

Toxicokinetic Study of Lambda-cyhalothrin Biomarkers of Exposure

Exposure to pyrethroid pesticides is a growing concern in the workplace especially since they are also present in the diet of the general population. It is important to monitor human expos...

Comparison of Explicit, Implicit and no Values Clarification Decision Aids for Men Considering Prostate Cancer Screening

The investigators aim at comparing the perceived clarity of personal values in men considering PSA screening using decision aids with no VCM versus an implicit VCM versus an explicit VCM. ...

Modeling Normal Tissue Complication Probability (NTCP) Vagina in Cervical Cancer

1. Determining the best predictors of vaginal toxicity of radiotherapy treatment in cervical cancer through the construction of a logistic regression model. 2. Modeling vaginal NTC...

Cue Reactivity in Virtual Reality: The Role of Context

The objectives of this proposal are to examine the role of context in a virtual reality (VR) environment and to explore the extent to which cues (i.e., contextual cues or explicit smoking ...

Temporal Expectations in Parkinson's Disease

Although major progresses were realized during recent years, temporal cognition is still poorly understood. However, abnormal temporal cognition is an underestimated aspect of several neur...

Medical and Biotech [MESH] Definitions

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

Theoretical models simulating behavior or activities in nursing, including nursing care, management and economics, theory, assessment, research, and education. Some examples of these models include Orem Self-Care Model, Roy Adaptation Model, and Rogers Life Process Model.

A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.

A condition caused by the neurotoxin MPTP which causes selective destruction of nigrostriatal dopaminergic neurons. Clinical features include irreversible parkinsonian signs including rigidity and bradykinesia (PARKINSON DISEASE, SECONDARY). MPTP toxicity is also used as an animal model for the study of PARKINSON DISEASE. (Adams et al., Principles of Neurology, 6th ed, p1072; Neurology 1986 Feb;36(2):250-8)

A factor associated with the well-being of living organisms that is used as a measure of environmental change and or influence. For example, aldehyde dehydrogenase expression in earthworm tissue is used as an indication of heavy metal pollution in soils. Distinguish from BIOMARKERS.

Quick Search

DeepDyve research library

Searches Linking to this Article