Evidence map›Paper›PMID 41077580›Full record

ArticleMicrobial cell factories2025

Development and clinical application of a PCR-UV assay for detection of carbapenem resistant Acinetobacter baumannii in bloodstream infections.

Lin Yu, Jingzhi Zhang, Ze Liu, Chushi Guan, Siyi Liu, Yandong Zhang, Ziman Wu, Xiaodan Zheng, Xianling Zhou, Baoqing Sun

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In one paragraph

Article in Microbial cell factories, 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

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

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

10 authors.

Lin YuDepartment of Clinical Laboratory, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Laboratory, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Jingzhi ZhangKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Ze LiuDepartment of Clinical Laboratory, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Laboratory, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Chushi GuanDepartment of Clinical Laboratory, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Laboratory, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Siyi LiuKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Yandong ZhangKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Ziman WuKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Xiaodan ZhengKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Xianling ZhouKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Baoqing SunDepartment of Clinical Laboratory, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, Guangzhou Laboratory, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China. sunbaoqing@vip.163.com.

Funding

Natural Science Foundation of Guangdong Province 2021A1515011057
6 · The paper itself

Abstract

objectiveBloodstream infections caused by carbapenem-resistant Acinetobacter baumannii (CRAB) are a significant public health problem, with high morbidity and mortality. Detection and identification of CRAB is essential for early diagnosis and treatment. Therefore, a rapid and economical method for the detection of CRAB-associated Bloodstream infections (BSIs) is urgently needed.

methodsA triple PCR-UV reaction system has been developed for the detection of the antibiotic resistance genes OXA23, OXA51 and AB-specific gene. Primer specificity, limit of detection (LOD), reproducibility, and accuracy of the assay were evaluated. The PCR products were directly analyzed using UV and ImageJ analysis, which provided a quickly interpretation of the results. Furthermore, the established assay was validated on clinical isolates and compared with blood culture and drug susceptibility testing.

resultsThe triple PCR-UV method established in this study demonstrated strong primer specificity and discriminated CRAB among 23 common clinical pathogens. The results of this PCR method were validated by electrophoresis and showed good accuracy and reproducibility, with a limit of detection (LOD) of 3.0 × 10

conclusionThe triple PCR-UV assay developed in this study is a UV-visual, rapid, and cost-effective method for the detection of Acinetobacter baumannii (AB) and identification of CRAB in bloodstream infections. The assay could be particularly useful in community settings where expensive molecular instrumentation is not readily available and could help in the diagnosis and management of CRAB infections in BSIs.

Indexed as

Acinetobacter baumanniiAcinetobacter InfectionsBacteremiaCarbapenemsPolymerase Chain ReactionAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesHumansLimit of DetectionMicrobial Sensitivity TestsReproducibility of ResultsAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsBloodstream infections (BSIs)Carbapenem-resistance geneCarbapenem-resistant Acinetobacter baumannii (CRAB)PCR-UV assay

Identifiers

PMID41077580
PMCPMC12516897

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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.