Evidence map›Paper›PMID 40893420›Full record

ArticleOpen forum infectious diseases2025

Rapid, Amplification-free, RNA-based Uropathogen Detection With LbuCas13a.

Hirotaka Ata, Madeleine E Hull, William M Geisler, Sixto M Leal, Ashutosh Chilkoti

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hirotaka AtaDepartment of Emergency Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-0027-205X
Madeleine E HullDepartment of Emergency Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
William M GeislerDivision of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0002-0603-2404
Sixto M LealDepartment of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0001-6939-9572
Ashutosh ChilkotiDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Expeditious identification of bacterial infection remains an important challenge in an emergency department. Bacterial cultures remain the gold standard, though they take 24-72 hours to result. Polymerase chain reaction-based diagnostics are emerging but take several hours to get a result. Here, we report a rapid bacterial RNA detection platform based on Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) technology with urine-to-result time within 1 hour. Methods: All CRISPR experiments were conducted as an open format plate reader assay with fluorescent readouts. In derivation studies, Results: The lower limit of detection of our CRISPR assay was ∼10 Conclusions: We demonstrated the feasibility to adopt an amplification-free CRISPR assay for the purpose of rapid uropathogen detection. To our knowledge, this is the first demonstration of an RNA-based tool for detecting uropathogens. Our assay may be used postanalytically to conventional urinalysis for improved specificity to diagnose UTIs. Future research may focus on improving the sensitivity and discriminating uropathogen versus bacterial contaminant, which is beyond the scope of the current study.

Indexed as

CRISPR diagnosticsemergency medicineRNA diagnosticsUTI

Identifiers

PMID40893420
PMCPMC12391756

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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.