Evidence map›Paper›PMID 40753431›Full record

ArticleBMC microbiology2025

One-pot, uracil-DNA-glycosylase-aided, and multi-indicator nanobiosensor detection platform for identifying Brucella melitensis from the Brucella spp.

Xinggui Yang, Yue Wang, Sha Mao, Ying Liu, Fengming Chen, Junfei Huang, Xiaoyan Zeng, Hai Jiang, Shijun Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC microbiology, 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

9 authors.

Xinggui Yang *Laboratory of Bacterial Disease, Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, P.R. China.
Yue Wang *Laboratory of Bacterial Disease, Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, P.R. China.
Sha MaoLaboratory of Bacterial Disease, Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, P.R. China.
Ying LiuLaboratory of Bacterial Disease, Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, P.R. China.
Fengming ChenLaboratory of Bacterial Disease, Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, P.R. China.
Junfei HuangLaboratory of Bacterial Disease, Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, P.R. China.
Xiaoyan ZengThe Second Affiliated Hospital, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, P.R. China.
Hai JiangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China.
Shijun LiLaboratory of Bacterial Disease, Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, P.R. China. zjumedjun@163.com.ORCID 0000-0002-4677-6301

Funding

Health Commission of Guizhou Province gzwkj2024-055National Natural Science Foundation of China 82273758Project for Public Health Talent Cultivation of China Grant No. Guo Jikong Zong Ren Han [2024]122
6 · The paper itself

Abstract

backgroundBrucellosis, a zoonotic chronic contagious disease caused by Brucella spp., is primarily associated with species such as Brucella melitensis (B. melitensis) and B. abortus, among which B. melitensis is recognized as the most virulent in causing human brucellosis.

methodsHerein, we report a newly “one-pot” detection protocol for the identification of B. melitensis from the genus Brucella using the multiplex multiple cross-displacement amplification (MCDA) combined with dUTP-assisted uracil-DNA-glycosylase (UDGase) and gold nanoparticles lateral flow assay (AuNPs-LFA) biosensor (termed mMCUDA). Two sets of MCDA primers targeting the bcsp31 and BMEII0466 genes were designed. Various clinical isolates and whole blood samples were used to optimize and evaluate the mMCUDA assay.

resultsThe optimal condition for mMCUDA is 65℃ for 60 min. The limit of detection (LoD) of the mMCUDA assay was confirmed to be 7.5 fg/reaction. The mMCUDA assay can accurately identify B. melitensis from the Brucella spp. used in the study, and no cross-reaction with non-target pathogens was observed. The protocol has a powerful capability to eliminate carryover contamination (approximately 1.5 × 10−13 g/reaction).

conclusionsTaken-together, these investigative data demonstrated that the mMCUDA assay is a straightforward, one-pot, easy-to-obtain, friendly-to-use, and highly specific detection platform, which can be used as a useful potential screening tool in clinical applications.

Indexed as

Biosensing TechniquesBrucella melitensisBrucellosisUracil-DNA GlycosidaseBacterial ProteinsBrucellaDNA, BacterialGoldHumansLimit of DetectionMetal NanoparticlesNucleic Acid Amplification TechniquesRapid Diagnostic TestsSensitivity and SpecificityBacterial ProteinsDNA, BacterialGoldUracil-DNA GlycosidaseBrucella melitensisBrucella spp.Gold nanoparticles lateral flow assayMultiple cross-displacement amplificationUracil-DNA-glycosylase

Identifiers

PMID40753431
PMCPMC12317498

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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.