Evidence map›Paper›PMID 41280765›Full record

ArticleACS omega2025

Ultra-Sensitive, Label-Free Detection of Nosocomial Infection RNA Biomarkers via CRISPR-Cas13a-Initiated PER-Driven DNA Walker.

Na Du, Guochao Xu, Yao Zhang, Jing Hou, Ying Wang, Yiran Li, Bing Xu

Abstract read
In one paragraph

Article in ACS omega, 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
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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

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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

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

7 authors.

Na DuHealth Management Department of Xinxiang Central Hospital, Xinxiang, Henan 453000, China.
Guochao XuLaboratory Department, Xinxiang Central Hospital, Xinxiang, Henan 453000, China.
Yao ZhangLaboratory Department, Xinxiang Central Hospital, Xinxiang, Henan 453000, China.
Jing HouHealth Management Department of Xinxiang Central Hospital, Xinxiang, Henan 453000, China.
Ying WangHealth Management Department of Xinxiang Central Hospital, Xinxiang, Henan 453000, China.
Yiran LiHealth Management Department of Xinxiang Central Hospital, Xinxiang, Henan 453000, China.
Bing XuDepartment of General Surgery and Interventional Medicine, Xinxiang Central Hospital, Xinxiang, Henan 453000, China.ORCID https://orcid.org/0009-0001-7883-6954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nosocomial infection is a major global cause of mortality, posing significant public health challenges. Recent studies have identified RNA biomarkers, including microRNA (miRNA) and circular RNA (circRNA), as promising diagnostic tools for nosocomial infection, providing essential information for timely clinical intervention. In this study, we developed a versatile and label-free circRNA and miRNA detection platform based on a Cas13a/crRNA complex-based target recognition that triggers a primer exchange reaction (PER)-driven DNA walker. In this method, the Cas13a/crRNA complex is used to specifically identify target RNA biomarkers and to induce subsequent signal amplification strategies following cleavage of uracil (UUU, trU)-containing locked "sensing probe" based on trans-cleavage of Cas13a. Taking the merit of the high specific target recognition capability of Cas13a/crRNA, false signals or unintended circRNA degradation can be greatly avoided. The PER performed on the surface of streptavidin-coated magnetic beads (sMBs) motivated the walking of primer sequences, greatly amplifying fluorescence signals. Based on this design, the proposed method exhibits high sensitivity and precision, with detection limits as low as 0.41 fM for miRNA-21 and 3.12 fM for cZNF292. These findings suggest that this strategy could advance the identification of RNA biomarkers and hold considerable potential for future applications in diagnosing nursing infections.

Identifiers

PMID41280765
PMCPMC12631447

What Socratic holds

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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 Socratic graph.