Phage-antibiotic therapy under density dependent bacterial defenses
Rohan Shirur, Bryce Morsky

TL;DR
This paper develops a mathematical model to analyze phage therapy effectiveness against bacteria, considering bacterial social defenses, immune response, and antibiotics, revealing conditions for successful bacterial suppression and oscillations.
Contribution
It introduces a comprehensive mathematical model incorporating bacterial social defenses, immune response, and antibiotics to evaluate phage therapy efficacy.
Findings
Phages destabilize bacterial growth equilibria, aiding immune suppression.
Oscillations can occur but generally lead to minimal bacterial populations.
Combination therapy with antibiotics enhances bacterial suppression.
Abstract
Phage therapy is an alternative treatment method for bacterial infections. It has shown particular promise in reducing bacterial load while preventing antibiotic resistance. Here, we develop a mathematical model of a bacterial infection within a host to study phage therapy. It incorporates interactions between phages, bacteria, the immune system, and antibiotics. Additionally, the model includes bacterial social dynamics that provide protection from treatments and the innate immune response. We analytically and numerically identify all of the equilibria of the model and derive insights regarding the overall effectiveness of phage therapy. Without phage therapy, the model exhibits bistability: bacteria populations above a threshold grow and become entrenched, while those below it can be effectively suppressed by the immune system. We find that that phages destabilize the former…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBacteriophages and microbial interactions · Mathematical and Theoretical Epidemiology and Ecology Models · Evolution and Genetic Dynamics
