ReviewBriefings in functional genomics2025
Genomic insights into bacteriophages: a new frontier in AMR detection and phage therapy.
Review in Briefings in functional genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Symbiotic Stenotrophomonas maltophilia is associated with ivermectin resistance in the parasitic nematode Haemonchus contortus via metabolic detoxification.International journal for parasitology. Drugs and drug resistance · 2026Article
- Antibiofilm efficacy and genomic characterization of a lytic bacteriophage targeting MDR uropathogenic Escherichia coli.Archives of microbiology · 2026Article
- Detection to Disruption: A Comprehensive Review of Bacterial Biofilms and Therapeutic Advances.Antibiotics (Basel, Switzerland) · 2026Review
- Phage biobanks as enabling infrastructure for precision phage therapy in the era of antimicrobial resistance.Frontiers in antibiotics · 2026Article
- Editorial: Emerging trends in phage therapeutics to overcome antibiotic resistance.Frontiers in antibiotics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The misuse and overprescription of antibiotics have accelerated the rise of antimicrobial resistance (AMR), rendering many antibiotics ineffective and leading to significant clinical challenges. The conventional treatment methods have become progressively challenging, posing a threat of evolving into an impending silent pandemic. The long track record of bacteriophages combating bacterial infections has renewed hope into the potential therapeutic benefits of bacteriophages. Bacteriophage therapy offers a promising alternative to antibiotics, particularly against multidrug-resistant (MDR) pathogens. This article explores the promise of phages as a potential means to combat superbugs from the perspective of the genomic and transcriptomic landscape of the phages and their bacterial host. Advances in bacteriophage genomics have expedited the detection of new phages and AMR genes, enhancing our understanding of phage-host interactions and enabling the identification of potential treatments for antibiotic-resistant bacteria. At the same time, holo-transcriptomic studies hold potential for discovering disease and context-specific transcriptionally active phages vis-à-vis disease severity. Holo-transcriptomic profiling can be applied to investigate the presence of AMR-bacteria, highlighting COVID-19 and Dengue diseases, in addition to the globally recognized ESKAPE pathogens. By simultaneously capturing phage, bacterial and host transcripts, this approach enables a better comprehension of the bacteriophage dynamics. Moreover, insight into these defence and counter-defence interactions is essential for augmenting the adoption of phage therapy at scale and advancing bacterial control in clinical settings.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.