Evidence map›Paper›PMID 34607556›Full record

ArticleBMC microbiology2021

Two target genes based multiple cross displacement amplification combined with a lateral flow biosensor for the detection of Mycobacterium tuberculosis complex.

Junfei Huang, Ziyu Xiao, Xinggui Yang, Xu Chen, Xiaojuan Wang, Yijiang Chen, Wenlin Zheng, Wei Chen, Huijuan Chen, Shijun Li

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  7. Biosensors; nanomaterial-based methods in diagnosing ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. A CRISPR-Cas12a-based platform for ultrasensitive rapid highly specific detection ofFrontiers in cellular and infection microbiology · 2023
    Article
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 at 3 institutions in 1 country.

Junfei HuangLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Ziyu XiaoLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Xinggui YangLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Xu ChenThe Second Affiliated Hospital, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, 550003, People's Republic of China.
Xiaojuan WangLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Yijiang ChenLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Wenlin ZhengLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Wei ChenLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Huijuan ChenLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China.
Shijun LiLaboratory of Infectious Disease of Experimental Center, Guizhou Provincial Center for Disease Control and Prevention, 73 Bageyan Road, Guiyang, 550004, Guizhou, People's Republic of China. zjumedjun@163.com.
Guizhou Center for Disease Control and Prevention · CNGuiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is a serious chronic infectious disease caused by Mycobacterium tuberculosis complex (MTBC). Hence, the development of a novel, simple, rapid and sensitive method to detect MTBC is of great significance for the prevention and treatment of TB.

resultsIn this study, multiple cross displacement amplification (MCDA) combined with a nanoparticle-based lateral flow biosensor (LFB) was developed to simultaneously detect two target genes (IS6110 and mpb64) of MTBC (MCDA-LFB). One suite of specific MCDA primers designed for the IS6110 and mpb64 genes was validated using genomic DNA extracted from the reference strain H37Rv. The MCDA amplicons were analyzed using a real-time turbidimeter, colorimetric indicator (malachite green, MG) and LFBs. The optimal amplification temperature and time were confirmed, and the MCDA-LFB method established in the current report was evaluated by detecting various pathogens (i.e., reference strains, isolates and clinical sputum samples). The results showed that the two sets of MCDA primers targeting the IS6110 and mpb64 genes could effectively detect MTBC strains. The optimal reaction conditions for the MCDA assay were determined to be 67 °C for 35 min. The MCDA assay limit of detection (LoD) was 100 fg per reaction for pure genomic DNA. The specificity of the MCDA-LFB assay was 100%, and there were no cross-reactions for non-MTBC strains. For sputum samples and MTBC strain detection, the positive rate of MCDA-LFB for the detection of MTBC strains was consistent with seminested automatic real-time PCR (Xpert MTB/RIF) and higher than acid-fast staining (AFS) and culture assays when used for sputum samples. The MCDA-LFB assay was a rapid tool, and the whole procedure for MCDA-LFB, including DNA template preparation, MCDA reaction and amplification product analysis, was completed within 70 min.

conclusionThe MCDA-LFB assay targeting the IS6110 and mpb64 genes is a simple, rapid, sensitive and reliable detection method, and it has potential significance for the prevention and treatment of TB.

Indexed as

Biosensing TechniquesAntigens, BacterialBacterial ProteinsGenes, BacterialHumansMycobacterium tuberculosisNucleic Acid Amplification TechniquesSensitivity and SpecificityTimeTuberculosisAntigens, BacterialBacterial ProteinsMPB64 protein, MycobacteriumDetectionDiagnosisLateral flow biosensorMultiple cross displacement amplificationMycobacterium tuberculosis complex

Identifiers

PMID34607556
PMCPMC8491432
OpenAlexW3202660996

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.