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Related Experiment Videos

The allometry of host-pathogen interactions.

Jessica M Cable1, Brian J Enquist, Melanie E Moses

  • 1Department of Botany, University of Wyoming, Laramie, Wyoming, United States of America. jcable1@uwyo.edu

Plos One
|November 8, 2007
PubMed
Summary
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Disease progression rates in animals are linked to body size and metabolism. This study reveals that host metabolic scaling influences pathogenesis, impacting disease timelines and potentially population dynamics.

Area of Science:

  • Comparative Pathology
  • Allometry
  • Epidemiology

Background:

  • Understanding disease progression mechanisms is crucial for epidemiology and interspecies research.
  • Body size and metabolic rate are key factors influencing biological rates and disease timelines.
  • Hypothesizes that host body size and metabolic rate impact pathogenesis rates, specifically time to symptoms or death.

Purpose of the Study:

  • To investigate the relationship between host metabolic scaling and disease progression rates.
  • To determine if body size and metabolic rate influence the time from infection to symptoms and death.
  • To explore the implications for disease dynamics and interspecies disease modeling.

Main Methods:

  • Conducted a literature search for time-to-symptom (tS) and time-to-death (tD) estimates for pathogens in birds and mammals.

Related Experiment Videos

  • Analyzed data from five diseases (bacterial, prion, viral) across various hosts.
  • Applied allometric scaling principles to analyze host-pathogen interactions.
  • Main Results:

    • Pathogenesis rates are significantly controlled by the scaling of host metabolism across diverse hosts and diseases.
    • Time to symptoms is a consistent fraction of time to death for most diseases studied.
    • Disease dynamics at the population level may be independent of host body size, expressed as dimensionless quantities.

    Conclusions:

    • Variability in host pathogenesis aligns with power functions related to host metabolic rate scaling.
    • Geometric relationships are key to understanding disease progression control.
    • This study is the first to report allometric scaling in host/pathogen interactions, offering a new framework for research.