Evidence map›Paper›PMID 41020500›Full record

ArticleNucleic acids research2025

Metagenome-inspired libraries to engineer phage M13 for targeted killing of Gram-negative bacterial species.

Yanxi Yang, Dayeon Kang, Beatrice Mihalache, Shelby Vexler, Saumya Jain, Huan Peng, Nasim Annabi, Shangxin Yang, Irene A Chen

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Yanxi YangDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.
Dayeon KangDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.
Beatrice MihalacheDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.
Shelby VexlerDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.
Saumya JainDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.
Huan PengCellular Signaling Laboratory, International Research Center for Sensory Biology and Technology of MOST, Key Laboratory of Molecular Biophysics of MOE, College of Life Science and Technology, Huazhong University of Science and Technology, 430074 Wuhan, Hubei, China.
Nasim AnnabiDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.
Shangxin YangDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States.ORCID 0000-0001-9991-1178
Irene A ChenDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.ORCID 0000-0001-6040-7927

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Research Training in Cell and Molecular BiologyT32GM145388 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jorge Torres · 2022 to 2026
$5.2M
Phage-inspired engineering and evolutionR35GM148249 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Irene Ann Chen · 2023 to 2026
$1.5M
National Natural Science Foundation of China 32201100NCATS NIH HHS UL1TR001881NIGMS NIH HHS R35 GM148249NIGMS NIH HHS T32 GM145388NIGMS NIH HHS T32GM145388NIH HHS R35GM148249UCLA
6 · The paper itself

Abstract

Given concerning trends in antibiotic resistance, phages have been increasingly explored as promising antimicrobial agents. However, a major problem with phage therapy is the overly high specificity of phages for their hosts, which is currently addressed by a personalized approach involving screening a bank of wild-type phages against each clinical isolate. To shorten this process, we propose that a focused library of synthetic phages could be rapidly selected for a member binding to a given clinical isolate. We created libraries of recombinant M13 phages expressing receptor-binding proteins based on the collective metagenome of inovirus phages, a diverse group whose members appear to infect nearly all bacterial phyla. Using two rounds of a pull-down selection, phage variants were identified against several Gram-negative pathogens, including a variant (M13PAB) that bound to several Pseudomonas aeruginosa strains, including clinical isolates. To confer bactericidal activity to the nonlytic phage, a last-line but nephrotoxic lipopeptide, colistin, was cross-linked to the M13PAB virions. The colistin-M13PAB phage conjugate lowered the minimal inhibitory concentration of colistin by 1-2 orders of magnitude for multiple strains of P. aeruginosa and showed a lack of hemolytic or cytotoxic activity in vitro, suggesting high potency combined with low toxicity. Thus, a metagenome-inspired library displayed on the M13 phage scaffold, when subjected to a short selection for binding to a bacterial clinical isolate, could yield a phage variant that targets the specified strain. This approach may improve the speed, consistency, and cost-effectiveness of personalized phage therapy.

Indexed as

Bacteriophage M13Gram-Negative BacteriaMetagenomePeptide LibraryAnti-Bacterial AgentsHumansPhage TherapyPseudomonas aeruginosaAnti-Bacterial AgentsPeptide Library

Identifiers

PMID41020500
PMCPMC12477597

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Registered trials

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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.