Evidence map›Paper›PMID 34176103›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2021

Highly specific and sensitive detection of the Mycobacterium tuberculosis complex using multiplex loop-mediated isothermal amplification combined with a nanoparticle-based lateral flow biosensor.

Xu Chen, Junfei Huang, Ziyu Xiao, Xingui Yang, Yijiang Chen, Wenlin Zheng, Wei Chen, Huijuan Chen, Shijun Li

Open access · greenAbstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Xu 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.
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 XiaoThe Second Affiliated Hospital, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, 550003, People's Republic of China.
Xingui 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.
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.ORCID http://orcid.org/0000-0002-1583-3916
Guizhou Center for Disease Control and Prevention · CNGuiyang Medical University · CNGuizhou University · CN

Funding

Science and Technology Department of Guizhou Province [2018]-5606Science and Technology Department of Guizhou Province [2018]-5767Science and Technology Department of Guizhou Province [2019]1186Science and Technology Department of Guizhou Province [2019]2822
6 · The paper itself

Abstract

Tuberculosis (TB) is the deadliest infectious caused by Mycobacterium tuberculosis complex (MTBC). Because most TB cases occur within low-income populations, developing a specific, sensitive, cost-saving, and rapid point-of-care test for the early diagnosis of TB is important for achieving the WHO's End Tuberculosis Strategy. In the current study, a novel nucleic acid detection strategy that includes multiplex loop-mediated isothermal amplification combined with a nanoparticle-based lateral flow biosensor (mLAMP-LFB) was used to detect MTBC. The two sets of LAMP primers specific to the IS6110 and gyrB genes of MTBC were successfully designed and validated for the detection of MTBC. The preferred reaction conditions for this assay were confirmed to be 65 °C for 40 min, and the amplification products could be visually identified through LFB within 2 min. The full assay process, including genomic DNA template extraction, LAMP reaction, and product detection, could be completed in 80 min. The limit detection of the assay was 100 fg of DNA in pure culture. The specificity of the assay was 100%, and it had no cross-reactions to other strains. Thus, the m-LAMP-LFB technology established in the present study was an objective, rapid, simple, and sensitive assay for MTBC identification, which could be applied in a clinical setting, especially in resource-constrained regions of the world.

Indexed as

Biosensing TechniquesMolecular Diagnostic TechniquesMycobacterium tuberculosisNucleic Acid Amplification TechniquesTuberculosisHumansNanoparticlesSensitivity and SpecificityDiagnosisLateral flow biosensor limit of detectionLoop-mediated isothermal amplificationMycobacterium tuberculosis complexTuberculosis

Identifiers

PMID34176103
PMCPMC8324766
OpenAlexW3176824716

What OpenQuestion holds

Textmetadata
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.