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Interaction of phages, bacteria, and the human immune system: Evolutionary changes in phage therapy
Abstract
Phages and bacteria are known to undergo dynamic and co-evolutionary arms race interactions in order to survive. Recent advances from in vitro and in vivo studies have improved our understanding of the complex interactions between phages, bacteria, and the human immune system. This insight is essential for the development of phage therapy to battle the growing problems of antibiotic resistance. It is also pivotal to prevent the development of phage-resistance during the implementation of phage therapy in the clinic. In this review, we discuss recent progress of the interactions between phages, bacteria, and the human immune system and its clinical application for phage therapy. Proper phage therapy design will ideally produce large burst sizes, short latent periods, broad host ranges, and a low tendency to select resistance.
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Neutralizing antibodies can develop upon repeated phage exposure, potentially limiting long-term efficacy through enhanced clearance.
“Neutralizing antibodies can develop upon repeated phage exposure, potentially limiting long-term efficacy through enhanced clearance.”
From Phage therapy in oncology: opportunities for cancer prevention and treatment (2026) · cites this paper as [140]
One significant challenge in clinical application is the complex interplay between administered phages and the human immune system.
“One significant challenge in clinical application is the complex interplay between administered phages and the human immune system [140–142]”
From Phage therapy in oncology: opportunities for cancer prevention and treatment (2026) · cites this paper as [140]
Cytokine responses to phage administration, while potentially beneficial for tumor immunogenicity, could pose safety risks in immunosuppressed patients.
“Cytokine responses to phage administration, while potentially beneficial for tumor immunogenicity, could pose safety risks in immunosuppressed patients.”
From Phage therapy in oncology: opportunities for cancer prevention and treatment (2026) · cites this paper as [140]
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Metadata
- Authors
- Jariah, R. O. A., & Hakim, M. S.
- Affiliations
- Universitas Airlangga (ID)
- Universitas Gadjah Mada (ID)
- Corresponding author
- Hakim, Mohamad S.
- Venue
- Reviews in Medical Virology
- Publisher
- Wiley
- Published
- 2019-05-30
- Volume
- 29
- Issue
- 5
- Pages
- e2055-e2055
- ISSN
- 1052-9276 (ISSN-L)
- 1099-1654
- OpenAlex
- W2947829184
- Cited by
- 40
- References
- 167
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 5 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 2 · 2019: 1
- FWCI
- 0.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Reviews in Medical Virology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Immunology and Microbiology › Immunology › Invertebrate Immune Response Mechanisms
- Keywords
- bacteriophages, phage therapy, phage-bacteria coevolution, arms race, human immune system, antibiotic resistance, phage resistance, burst size, latency, host range
- MeSH terms
- Phage Therapy, Bacteria, Bacteriophages, Disease Susceptibility, Biological Evolution, Humans, Immune System, Bacterial Physiological Phenomena, Host-Pathogen Interactions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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