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Related Concept Videos

Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

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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...
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Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

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Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...
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Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

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Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...
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Dose-Response Relationship: Overview01:03

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Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
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Dose-Response Relationship: Potency and Efficacy01:22

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The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
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Dose-Response Relationship: Selectivity and Specificity01:25

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Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and...
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Single toxin dose-response models revisited.

Eugene Demidenko1, S P Glaholt2, E Kyker-Snowman3

  • 1Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH03756, USA.

Toxicology and Applied Pharmacology
|November 17, 2016
PubMed
Summary
This summary is machine-generated.

This study analyzes sigmoid dose-response curves for single toxins, defining key points to identify low and high mortality phases. It offers probabilistic models and statistical estimation for toxicity testing, improving accuracy in ecotoxicology.

Keywords:
Daphnia mortality acute testsHill equationLogitMortality functionProbit

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Area of Science:

  • Environmental toxicology
  • Quantitative structure-activity relationship (QSAR) modeling

Background:

  • Dose-response relationships are fundamental in toxicology for assessing chemical risk.
  • Sigmoid curves commonly describe toxin effects, but precise analysis of their phases and statistical modeling requires refinement.

Purpose of the Study:

  • To provide a rigorous analysis of sigmoid dose-response relationships for single toxins.
  • To define and analyze special points on the dose-response curve, including maximum efficacy and inflection points.
  • To introduce and evaluate probabilistic models and statistical estimation methods for toxicity data.

Main Methods:

  • Introduction of a toxin efficacy function and definition of four special points on the dose-response curve.
  • Probabilistic interpretation and mathematical analysis of Hill, logit, probit, and Weibull models.
  • Development of multi-target hit and non-zero natural mortality models.
  • Statistical estimation using generalized linear models with binomial distribution for mortality counts.

Main Results:

  • The special points define three distinct phases of toxin effect on mortality: low mortality at low/high concentrations and high mortality at intermediate concentrations.
  • Probabilistic and mathematical analyses were performed for four standard dose-response models.
  • Generalized linear models provided a robust statistical framework for estimating toxicity parameters.

Conclusions:

  • The defined special points and phases offer a structured understanding of single toxin dose-response.
  • The proposed modeling extensions (multi-target, natural mortality) enhance the applicability of dose-response analysis.
  • Statistical estimation using generalized linear models is recommended over nonlinear regression for accurate toxicity assessment.