Within‐Host Mathematical Modeling of Antibiotic‐phage Treatments on Lysogenic and Nonlysogenic Bacteria Dynamics

ABSTRACT Bacteriophages, or phages (viruses of bacteria), play significant roles in shaping the diversity of bacterial communities within the human gut. A phage‐infected bacterial cell can either immediately undergo lysis (virulent/lytic infection) or enter a stable state within the host as a prophage (lysogeny) until a trigger event, called prophage induction, initiates the lysis process. We develop an approach based on a model structured in terms of time since bacterial infection. We derive important threshold parameters for the asymptotic dynamics of the system and demonstrate that the model's qualitative behavior can range from the extinction of all bacterial types to the persistence of a single type (either lysogenic or nonlysogenic bacteria) or the coexistence of all populations at a positive steady state. We highlight the existence of critical time delay values that lead to the coexistence of all states through periodic oscillations. We also conduct a global sensitivity analysis for an effective bacterial clearance. In scenarios where antibiotics are not sufficiently effective, we identify four key phage parameter traits: (i) the phage induction probability, describing the capacity of prophages to be induced, (ii) the probability of absorption, describing the phages' ability to invade susceptible bacteria, (iii) the reproduction number of susceptible bacteria in the absence of antibiotics, and (iv) the latent period, describing the time since absorption. The obtained results emphasize the effective therapeutic potential of selected phages.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-04-02
DOI
https://doi.org/10.1002/mma.10902
Primary Topic
Bacteriophages and microbial interactions
Type
article
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article

Within‐Host Mathematical Modeling of Antibiotic‐phage Treatments on Lysogenic and Nonlysogenic Bacteria Dynamics

Hyacinthe M. Ndongmo Teytsa, Ramsès Djidjou‐Demasse, Berge Tsanou, Ousmane Seydi
Mathematical Methods in the Applied Sciences
Bacteriophages and microbial interactions
article

Within‐Host Mathematical Modeling of Antibiotic‐phage Treatments on Lysogenic and Nonlysogenic Bacteria Dynamics

Hyacinthe M. Ndongmo Teytsa, Ramsès Djidjou‐Demasse, Berge Tsanou, Ousmane Seydi
article en

Abstract

ABSTRACT Bacteriophages, or phages (viruses of bacteria), play significant roles in shaping the diversity of bacterial communities within the human gut. A phage‐infected bacterial cell can either immediately undergo lysis (virulent/lytic infection) or enter a stable state within the host as a prophage (lysogeny) until a trigger event, called prophage induction, initiates the lysis process. We develop an approach based on a model structured in terms of time since bacterial infection. We derive important threshold parameters for the asymptotic dynamics of the system and demonstrate that the model's qualitative behavior can range from the extinction of all bacterial types to the persistence of a single type (either lysogenic or nonlysogenic bacteria) or the coexistence of all populations at a positive steady state. We highlight the existence of critical time delay values that lead to the coexistence of all states through periodic oscillations. We also conduct a global sensitivity analysis for an effective bacterial clearance. In scenarios where antibiotics are not sufficiently effective, we identify four key phage parameter traits: (i) the phage induction probability, describing the capacity of prophages to be induced, (ii) the probability of absorption, describing the phages' ability to invade susceptible bacteria, (iii) the reproduction number of susceptible bacteria in the absence of antibiotics, and (iv) the latent period, describing the time since absorption. The obtained results emphasize the effective therapeutic potential of selected phages.

Mathematical Methods in the Applied SciencesVol. 48(10)
Centre National de la Recherche Scientifique (FR), Université de Dschang (CM), Université de Montpellier (FR), Maladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle (FR), École Polytechnique de Thiès (SN), Institut de Recherche pour le Développement (FR), University of Pretoria (ZA)
Openalex Percentile: Top 93%
Bacteriophages and microbial interactions
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