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Related Experiment Video

Updated: Jun 10, 2025

A Mouse Model for the Transition of Streptococcus pneumoniae from Colonizer to Pathogen upon Viral Co-Infection Recapitulates Age-Exacerbated Illness
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Predicting pathogen mutual invasibility and co-circulation.

Sang Woo Park1,2, Sarah Cobey2, C Jessica E Metcalf1

  • 1Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08540, USA.

Science (New York, N.Y.)
|October 10, 2024
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Summary
This summary is machine-generated.

Pathogen Invasion Theory (PIT) predicts strain interactions by analyzing susceptibility and epidemic dynamics. This framework unifies ideas on pathogen co-circulation and emerging strains.

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Area of Science:

  • Epidemiology
  • Theoretical Ecology
  • Microbial Ecology

Background:

  • Pathogen community structure shows strain coexistence and replacement, but predicting these dynamics is challenging.
  • Existing studies on host-pathogen systems lack a unifying theoretical framework for inter-strain interactions.

Purpose of the Study:

  • To develop a quantitative framework, Pathogen Invasion Theory (PIT), for predicting pathogen strain interactions.
  • To test PIT against empirical data from major human pathogens.
  • To unify existing concepts of pathogen co-circulation and strain emergence.

Main Methods:

  • Developed Pathogen Invasion Theory (PIT) based on modern ecological coexistence theory.
  • Applied PIT to analyze empirical data from major human pathogens.
  • Modeled the influence of epidemic dynamics and immunity on susceptible pathogen populations.

Main Results:

  • PIT predicts widespread mutual susceptibility among pathogen strains.
  • Co-circulation prediction depends on epidemic dynamics and the replenishment rate of susceptible hosts.
  • Transmission advantage and immunity duration are critical factors influencing susceptible dynamics.

Conclusions:

  • Pathogen Invasion Theory (PIT) provides a unified, quantitative framework for understanding pathogen strain interactions.
  • The theory successfully predicts outcomes of pathogen community dynamics.
  • PIT offers a tool for forecasting the emergence of novel pathogen strains.