Evidence map›Paper›PMID 38472239›Full record

ArticleScientific reports2024

Phage-layer interferometry: a companion diagnostic for phage therapy and a bacterial testing platform.

Patrick Needham, Richard C Page, Kevin Yehl

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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  4. Review
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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

3 authors at 1 institution in 1 country.

Patrick NeedhamDepartment of Chemistry and Biochemistry, Miami University, Oxford, 45056, USA.
Richard C PageDepartment of Chemistry and Biochemistry, Miami University, Oxford, 45056, USA.ORCID 0000-0002-3006-3171
Kevin YehlDepartment of Chemistry and Biochemistry, Miami University, Oxford, 45056, USA. yehlk@miamioh.edu.ORCID 0000-0001-7841-7613
Miami University · US

Funding

Triage mechanisms for directing protein refolding and degradationR35GM128595 · NIGMS · MIAMI UNIVERSITY OXFORD · PI Richard C Page · 2018 to 2026
$2.8M
NIGMS NIH HHS R35 GM128595
6 · The paper itself

Abstract

The continuing and rapid emergence of antibiotic resistance (AMR) calls for innovations in antimicrobial therapies. A promising, 're-emerging' approach is the application of bacteriophage viruses to selectively infect and kill pathogenic bacteria, referred to as phage therapy. In practice, phage therapy is personalized and requires companion diagnostics to identify efficacious phages, which are then formulated into a therapeutic cocktail. The predominant means for phage screening involves optical-based assays, but these methods cannot be carried out in complex media, such as colored solutions, inhomogeneous mixtures, or high-viscosity samples, which are often conditions encountered in vivo. Moreover, these assays cannot distinguish phage binding and lysis parameters, which are important for standardizing phage cocktail formulation. To address these challenges, we developed Phage-layer Interferometry (PLI) as a companion diagnostic. Herein, PLI is assessed as a quantitative phage screening method and prototyped as a bacterial detection platform. Importantly, PLI is amenable to automation and is functional in complex, opaque media, such as baby formula. Due to these newfound capabilities, we foresee immediate and broad impact of PLI for combating AMR and protecting against foodborne illnesses.

Indexed as

BacteriophagesFoodborne DiseasesPhage TherapyAnti-Bacterial AgentsBacteriaHumansAnti-Bacterial Agents

Identifiers

PMID38472239
PMCPMC10933294
OpenAlexW4394740115

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.