nerc.ac.uk

A simple mechanistic model to interpret the effects of narcotics

Baas, J.; Spurgeon, D. ORCID: https://orcid.org/0000-0003-3264-8760; Broerse, M.. 2015 A simple mechanistic model to interpret the effects of narcotics. SAR and QSAR in Environmental Research, 26 (3). 165-180. 10.1080/1062936X.2015.1018940

Full text not available from this repository.

Abstract/Summary

In this research we will show the advantages of using a time-independent dose metric in a mechanistic model to evaluate toxic effects for different narcotic compounds on different species. We will show how different already existing QSARs can be combined within a mechanistic framework to 1) make predictions of lethal thresholds; 2) show some limitations in the use of existing QSARs; 3) show how a mechanistic framework solves some conceptual problems in current approaches and 4) show how such a framework can be used to be of aid in an experimental setup in predicting the outcome of a survival experiment. The approach we chose is based on the simplest mechanistic model available, a scaled one-compartment model to describe uptake and elimination and hazard model to link the exposure to effects on survival. Within this theoretical framework a prediction for an internal threshold for effects on survival of 3 mmol/kg bw can be made, which should be similar for different species and independent of the partitioning characteristics of the toxicant. To demonstrate this, a threshold for 51 different species was derived, which indeed appeared to lie in a relatively small range, typically between 1 and 10 mmol/kg bw.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1080/1062936X.2015.1018940
UKCEH and CEH Sections/Science Areas: Acreman
ISSN: 1062-936X
Additional Keywords: mechanistic modelling, no effect concentration, critical body residue, narcotics, QSAR, time
NORA Subject Terms: Ecology and Environment
Biology and Microbiology
Chemistry
Date made live: 17 Jun 2015 11:17 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/511070

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...