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Related Concept Videos

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

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

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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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Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

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The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...
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Related Experiment Video

Updated: May 7, 2026

Application of CRISPR Interference CRISPRi for Gene Silencing in Pathogenic Species of Leptospira
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Classic dose-response and time postinoculation models for leptospira.

Toru Watanabe1, Sondra S Teske, Charles N Haas

  • 1Department of Food, Life and Environmental Sciences, Yamagata University, Tsuruoka, Yamagata, Japan.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|October 15, 2013
PubMed
Summary

Dose-response models reveal that leptospirosis severity varies by bacterial strain and host. Statistical pooling suggests a common disease mechanism across different experimental conditions for this zoonotic disease.

Keywords:
Dose-response modelleptospirosismicrobial risk assessment

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Area of Science:

  • Veterinary Medicine
  • Infectious Diseases
  • Epidemiology

Background:

  • Leptospirosis is a significant zoonotic disease prevalent globally in tropical and temperate regions.
  • It affects both urban and rural populations, impacting public health and animal welfare.
  • Understanding dose-response relationships is crucial for disease management and risk assessment.

Purpose of the Study:

  • To develop and analyze dose-response models for Leptospira infection using existing experimental data.
  • To investigate the influence of bacterial strain virulence and host species on disease outcomes.
  • To explore the potential for a unified mechanistic understanding of leptospirosis across diverse experimental settings.

Main Methods:

  • Systematic review and meta-analysis of 22 datasets from 10 studies involving rodent models (primarily hamsters).
  • Development of dose-response models, including time-dependent models, based on mortality endpoints.
  • Comparative modeling to quantify the impact of strain or host variables using dose multiplication factors.

Main Results:

  • Median lethal dose (LD50) estimates varied widely (1-10^7 leptospires) depending on strain and time post-infection.
  • Seven common dose-response models and one time-dependent model were derived from pooled data.
  • Statistical pooling indicated that similar dose-response models could represent leptospirosis across different hosts, strains, and experimental conditions.

Conclusions:

  • Leptospirosis pathogenesis can be mechanistically represented by common dose-response models despite variations in experimental parameters.
  • Further research is needed to elucidate the underlying pathophysiological reasons for this observed uniformity.
  • These findings support the development of more generalized models for predicting leptospirosis risk.