Evidence map›Paper›PMID 24664593›Full record

ArticleWorld journal of microbiology & biotechnology2014

An efficient alternative marker for specific identification of Mycobacterium tuberculosis.

Jianing Zhao, Yiwei Wang, Dairong Li, Jiawen Liu, Xuemei Zhang, Yujuan He, Hong Wang, Ju Cao, Yibing Yin, Wenchun Xu

Abstract read
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Article in World journal of microbiology & biotechnology, 2014. 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

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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

1 citing paper in PubMed.

  1. 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.

Jianing ZhaoDepartment of Laboratory Medicine, College of Laboratory Medicine, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, People's Republic of China.
Yiwei Wang
Dairong Li
Jiawen Liu
Xuemei Zhang
Yujuan He
Hong Wang
Ju Cao
Yibing Yin
Wenchun Xu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and accurate identification of mycobacteria to the species level is important to provide epidemiological information and to guide the appropriate treatment, especially identification of the Mycobacterium tuberculosis (MTB) which is the leading pathogen causing tuberculosis. The genetic marker named as Mycobacterium tuberculosis specific sequence 90 (mtss90) was screened by a bioinformatics software and verified by a series of experiments. To test its specificity, 266 strains of microorganisms and human cells were used for the mtss90 conventional PCR method. Moreover, the efficiency of mtss90 was evaluated by comparing 16S rDNA (Mycobacterium genus-specific), IS6110 (specific identification of MTB complex), mtp40 (MTB-specific) and PNB/TCH method (traditional bacteriology testing) in Mycobacterium strains. All MTB isolates were mtss90 positive. No amplification was observed from any other tested strains with M. microti as an exception. Compared with the traditional PNB/TCH method, the coincidence rate was 99.1 % (233/235). All of the mtss90 positive strains were IS6110 and 16S rDNA positive, indicating a 100 % coincidence rate (216/216) between mtss90 and these two genetic markers. Additionally, mtss90 had a better specificity than mtp40 in the identification of MTB. Lastly, a real-time PCR diagnostic assay was developed for the rapid identification of MTB. In conclusion, mtss90 may be an efficient alternative marker for species-specific identification of MTB and could be used for the diagnosis of tuberculosis combined with other genetic markers.

Indexed as

AnimalsBacterial Typing TechniquesBiomarkersCattleCattle DiseasesComputational BiologyDNA, BacterialHumansHuman Umbilical Vein Endothelial CellsMycobacterium tuberculosisMycosesPolymerase Chain ReactionSensitivity and SpecificitySpecies SpecificityTuberculosisBiomarkersDNA, Bacterial

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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.