Related Experiment Video
Updated: Oct 7, 2025

Experimental Protocol for Examining Behavioral Response Profiles in Larval Fish: Application to the Neuro-stimulant Caffeine
Published on: July 24, 2018
Estimating the no-observed-adverse-effect-level (NOAEL) of hormetic dose-response relationships in meta-data
Evgenios Agathokleous1, Michael N Moore2,3,4, Edward J Calabrese5
1School of Applied Meteorology, Nanjing University of Information Science and Technology (NUIST), Nanjing, Jiangsu 210044, China.
Abstract:
The number of studies reporting hormetic responses is rapidly increasing, and quantitative evaluations are needed to improve the understanding of hormetic dose responses. However, there is no standardized methodology to estimate the no-observed-adverse-effect-level (NOAEL) of hormetic dose-response relationships developed using data mined from the published literature. Here, we propose a protocol that can be followed to estimate NOAEL, a process that is illustrated using a specific example. This protocol can be used for maintaining a mutual language (since NOAEL can be defined in different ways), permitting comparisons among different studies, and facilitating cumulative science.
More Related Videos
10:33Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
Published on: September 4, 2017
05:47In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Related Concept Videos
Dose-Response Relationship: Overview
Dose-Response Relationship: Potency and Efficacy
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Dose-Response Relationship: Selectivity and Specificity
Dosage Regimens: Partial Pharmacokinetic Parameters
Mechanistic Models: Compartment Models in Individual and Population Analysis