Evidence map›Paper›PMID 41102438›Full record

ArticleMolecular biotechnology2026

Application of Universal LNA Probe-Mediated Multiplex Real-Time PCR for the Detection of Antibiotic Resistance Genes.

Li Tian, Bo Yan, Guowei Wang, Qiqi Zou, Zhuo Li, Na Xin, Jun Ma, Huijuan Wang

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Li TianShaanxi Provincial Center for Disease Control and Prevention, Xi'an, 710054, Shaanxi, China.
Bo YanNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.
Guowei WangNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.
Qiqi ZouNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.
Zhuo LiDepartment of Laboratory Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, Shaanxi, China.
Na XinDepartment of Laboratory Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, 710077, Shaanxi, China.
Jun MaSchool of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, Shaanxi, China.
Huijuan WangNational Engineering Research Center for Miniaturized Detection Systems, College of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China. whj@nwu.edu.cn.ORCID http://orcid.org/0000-0002-2388-8714

Funding

Natural Science Basic Research Program of Shaanxi Province 2021JQ-543
6 · The paper itself

Abstract

The rising resistance of pathogens has increasingly complicated antibiotic treatments, leading to prolonged therapy durations and the potential for inadequate disease management. Current clinical methods (e.g., culture-based AST, conventional PCR, Sanger sequencing) for assessing microbial resistance are hampered by lengthy processing times, limited sensitivity, or high costs. In this study, we developed a multiplex quantitative polymerase chain reaction (qPCR) method using custom-designed universal locked nucleic acid (LNA) probes. This approach eliminates the need for target-specific fluorescent probes required in conventional qPCR assays, thereby offering broad applicability and reduced development costs. Using this method, a multiplex qPCR assay consisting of four tubes of four-plex reaction for the detection of 16 common antibiotic resistance genes (ARGs) was developed. These ARGs correspond to seven types of commonly used antibiotics and show high concordance with phenotypic resistance profiles. The established multiplex system demonstrated robust amplification performance, with a detection limit of 25 copies/μL for all targets. The analytical performance of this assay was validated in 172 samples from patients with severe pneumonia, achieving complete concordance with Sanger sequencing. Overall, this study provides an accurate, cost-effective, and rapid solution for detecting microbial resistance, enabling timely informed selection of antibiotics in clinical practice.

Indexed as

BacteriaDrug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialMultiplex Polymerase Chain ReactionOligonucleotidesReal-Time Polymerase Chain ReactionAnti-Bacterial AgentsHumansAnti-Bacterial Agentslocked nucleic acidOligonucleotidesAntibiotic resistance genesLocked nucleic acid (LNA)Multiplex qPCRPathogens

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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.