Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pharmacodynamic Models: Linear Concentration–Effect Model01:15

Pharmacodynamic Models: Linear Concentration–Effect Model

The linear concentration–effect model, underpinned by the principle that pharmacological effect (E) is directly proportional to plasma drug concentration (C), emerges as a pivotal simplification of the Emax model for conditions where C is significantly less than EC50. This model portrays a linear trajectory of the concentration–effect relationship when drug levels are markedly below the EC50 threshold.Despite its inherent assumption of continuous effect augmentation with increasing drug...
Drug Toxicity: Dose-Dependent Reactions01:24

Drug Toxicity: Dose-Dependent Reactions

Drug toxicities can be stratified into pharmacological, pathological, or genotoxic based on their mechanisms. The incidence and severity of these toxicities generally increase with the drug's concentration in the body and exposure time.Pharmacological toxicity is evident when the therapeutic effects of drugs overshoot into adverse reactions in a predictable, dose-dependent manner. Central nervous system (CNS) depression from barbiturates is a classic example, with effects escalating from...
Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response relationships...
Toxicokinetics: Overview01:21

Toxicokinetics: Overview

Studies that assess how a drug is absorbed, distributed, metabolized, and excreted (ADME) at toxic doses are termed toxicokinetics. Understanding toxicokinetics helps predict adverse drug reactions (ADRs) and manage toxicity in humans.Toxicokinetics differs from pharmacokinetics mainly in the dose levels studied, with toxicokinetics focusing on higher toxic doses. The kinetics at these levels can be non-linear due to altered physiological processes. Toxicodynamics examines the relationship...
Toxicity Testing in Animals01:23

Toxicity Testing in Animals

Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Coral larval aquaculture: Species-specific survival and microbial dynamics in flow-through systems.

PloS one·2026
Same author

Directing coral larval settlement in coral aquaculture for reef restoration.

Scientific reports·2026
Same author

Making Waves: Advancing environmental risk assessment through the quantification of marine microbial sensitivity thresholds.

Water research·2025
Same author

Species-specific metabolomic profiles of coral reef coralline algae and their influence on the larval settlement of corals and crown-of-thorns starfish.

Scientific reports·2025
Same author

Progressive changes in coral reef communities with increasing ocean acidification.

Communications biology·2025
Same author

A Bioluminescent Bacterial Toxicity Assay for Tropical Marine Environments.

Environmental toxicology·2025
Same journal

Letter to the editor with regards to: "Current water quality guidelines may not protect wildlife from PFOS bioaccumulation in freshwater ecosystems".

Integrated environmental assessment and management·2026
Same journal

Beyond prediction: AI agents in the next era of environmental early warning.

Integrated environmental assessment and management·2026
Same journal

Author reply to letter to the editor regarding: "Current water quality guidelines may not protect wildlife from PFOS bioaccumulation in freshwater ecosystems".

Integrated environmental assessment and management·2026
Same journal

The climate adaptation gap in AMR governance: A converging crisis.

Integrated environmental assessment and management·2026
Same journal

From compliance to foresight: modernising marine environmental impact assessment.

Integrated environmental assessment and management·2026
Same journal

PFAS in the circular economy: An unintended consequence of recycling and wastewater reuse?

Integrated environmental assessment and management·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2026

Experimental Protocol for Examining Behavioral Response Profiles in Larval Fish: Application to the Neuro-stimulant Caffeine
08:33

Experimental Protocol for Examining Behavioral Response Profiles in Larval Fish: Application to the Neuro-stimulant Caffeine

Published on: July 24, 2018

11.2K

Methods for estimating no-effect toxicity concentrations in ecotoxicology.

Rebecca Fisher1,2, David R Fox3,4, Andrew P Negri5

  • 1Australian Institute of Marine Science, Crawley, Western Australia, Australia.

Integrated Environmental Assessment and Management
|July 11, 2023
PubMed
Summary
This summary is machine-generated.

New statistical methods enhance the estimation of no-effect toxicity values from concentration-response data. This approach combines no-effect-concentration (NEC) and no-significant-effect-concentration (NSEC) metrics for robust risk assessment.

Keywords:
Concentration-response modelingEcosystem protectionNo-effect-concentrationStatistical ecotoxicologyToxicity estimate

More Related Videos

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K
Cytotoxicity Assays with Zebrafish Cell Lines
08:22

Cytotoxicity Assays with Zebrafish Cell Lines

Published on: January 6, 2023

6.5K

Related Experiment Videos

Last Updated: Jun 14, 2026

Experimental Protocol for Examining Behavioral Response Profiles in Larval Fish: Application to the Neuro-stimulant Caffeine
08:33

Experimental Protocol for Examining Behavioral Response Profiles in Larval Fish: Application to the Neuro-stimulant Caffeine

Published on: July 24, 2018

11.2K
In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
00:05

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

14.0K
Cytotoxicity Assays with Zebrafish Cell Lines
08:22

Cytotoxicity Assays with Zebrafish Cell Lines

Published on: January 6, 2023

6.5K

Area of Science:

  • Ecotoxicology
  • Environmental Risk Assessment
  • Statistical Modeling

Background:

  • Accurate estimation of no-effect toxicity values is crucial for environmental risk assessment.
  • Current methods for deriving no-effect concentrations (NECs) may not be suitable for all concentration-response (CR) data patterns.
  • There is a need for a unified framework to handle diverse CR data and associated uncertainties.

Purpose of the Study:

  • To compare the existing threshold-based no-effect-concentration (NEC) metric with an alternative no-significant-effect-concentration (NSEC) metric.
  • To develop a combined framework for estimating no-significant-effect concentrations (NSEC) and their uncertainties.
  • To provide a robust approach for analyzing CR data and integrating results into risk assessment.

Main Methods:

  • Comparison of NEC and NSEC metrics using ecotoxicological CR data.
  • Application of a model-averaging approach to combine NEC and NSEC metrics.
  • Development of a unified analysis framework for CR data.

Main Results:

  • The proposed framework successfully integrates NEC and NSEC metrics.
  • Model averaging provides robust estimates of no-significant-effect concentrations (NSEC) and their uncertainty.
  • The framework accommodates CR data that do not exhibit clear threshold effects.

Conclusions:

  • A novel framework enhances the estimation of no-effect toxicity values from CR data.
  • This approach improves the robustness of toxicity metrics by accounting for model uncertainty.
  • The developed framework facilitates confident integration of ecotoxicological data into risk assessment, including species sensitivity distributions (SSD).