Evidence map›Paper›PMID 41133098›Full record

ReviewMicrobiome research reports2025

Phage therapy as a revitalized weapon for treating clinical diseases.

Yingjie Wang, Yamei Yu

Abstract readReview
In one paragraph

Review in Microbiome research reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Virulence · 2026
    Review
  2. Biofilm-Mediated Antimicrobial Resistance in PediatricAntibiotics (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Characterization of the Fiber Protein C-Terminal Domain fromInternational journal of molecular sciences · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yingjie WangDepartment of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
Yamei YuDepartment of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising prevalence of multidrug-resistant (MDR) bacterial infections, coupled with the diminishing efficacy of antibiotics, has reinvigorated interest in bacteriophage (phage) therapy as a promising alternative, leveraging its unique bactericidal mechanisms and precise targeting capabilities. Concurrently, phage display technology has advanced tumor diagnostics and targeted drug delivery through high-throughput peptide screening. This review systematically evaluates the mechanisms, strategies, and clinical progress of phage-based applications in anti-infective and oncological therapies. Clinical evidence highlights its efficacy against respiratory, oral, wound, bloodstream, and urinary tract infections, alongside solid tumors. However, challenges persist, including limited host range, bacterial resistance, immunogenicity, inefficient delivery systems, and regulatory uncertainties. Future efforts should prioritize AI-driven phage optimization, standardized pharmacokinetic assessment, and interdisciplinary collaboration to accelerate clinical translation. Despite current limitations, phage therapy represents a transformative and scalable approach for combating antimicrobial resistance and advancing precision oncology, positioning it as a pivotal tool in addressing global health crises.

Indexed as

artificial intelligencemultidrug-resistant bacterial infectionsphage display technologyPhage therapytumor therapy

Identifiers

PMID41133098
PMCPMC12540056

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.