Evidence map›Paper›PMID 27199947›Full record

ArticleFrontiers in microbiology2016

Multi-Fluorescence Real-Time PCR Assay for Detection of RIF and INH Resistance of M. tuberculosis.

Jingfu Peng, Xiaoli Yu, Zhenling Cui, Wenfei Xue, Ziyi Luo, Zilu Wen, Minghua Liu, Danqing Jiang, Heping Zheng, Hai Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. 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
1.8field-weighted citation impact, top 16% 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, 22 citations in OpenAlex.

  1. Article
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  7. Development of DNA Bio-chip for Detection of Mutations ofIndian journal of clinical biochemistry : IJCB · 2023
    Article
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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

12 authors at 6 institutions in 1 country.

Jingfu PengState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Science, Fudan University Shanghai, China.
Xiaoli YuDepartment of Biotechnology, School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University Wuhan, China.
Zhenling CuiShanghai Key Laboratory of Tuberculosis, Medical School, Shanghai Pulmonary Hospital, Tongji University Shanghai, China.
Wenfei XueState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Science, Fudan University Shanghai, China.
Ziyi LuoThe Third People's Hospital of Shenzhen Shenzhen, China.
Zilu WenDepartment of Biotechnology, School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University Wuhan, China.
Minghua LiuState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Science, Fudan University Shanghai, China.
Danqing JiangState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Science, Fudan University Shanghai, China.
Heping ZhengHaoding Technology Limited Company Shenzhen, China.
Hai WuState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Science, Fudan University Shanghai, China.
Shulin ZhangDepartment of Immunology and Medical Microbiology, School of Medicine, Shanghai Jiao Tong University Shanghai, China.
Yao LiState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Science, Fudan University Shanghai, China.
State Key Laboratory of Genetic EngineeringWuhan Polytechnic University · CNFudan University · CNShanghai Jiao Tong University · CNShenzhen Third People’s Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFailure to early detect multidrug-resistant tuberculosis (MDR-TB) results in treatment failure and poor clinical outcomes, and highlights the need to rapidly detect resistance to rifampicin (RIF) and isoniazid (INH).

methodsIn Multi-Fluorescence quantitative Real-Time PCR (MF-qRT-PCR) assay, 10 probes labeled with four kinds of fluorophores were designed to detect the mutations in regions of rpoB, katG, mabA-inhA, oxyR-ahpC, and rrs. The efficiency of MF-qRT-PCR assay was tested using 261 bacterial isolates and 33 clinical sputum specimens. Among these samples, 227 Mycobacterium tuberculosis isolates were analyzed using drug susceptibility testing (DST), DNA sequencing and MF-qRT-PCR assay.

resultsCompared with DST, MF-qRT-PCR sensitivity and specificity for RIF-resistance were 94.6 and 100%, respectively. And the detection sensitivity and specificity for INH-resistance were 85.9 and 95.3%, respectively. Compared with DNA sequencing, the sensitivity and specificity of our assay were 97.2 and 100% for RIF-resistance and 97.9 and 96.4% for INH-resistance. Compared with Phenotypic strain identification, MF-qRT-PCR can distinguish 227 M. tuberculosis complexes (MTC) from 34 Non-tuberculous mycobacteria (NTM) isolates with 100% accuracy rate.

conclusionsMF-qRT-PCR assay was an efficient, accurate, reliable, and easy-operated method for detection of RIF and INH-resistance, and distinction of MTC and NTM of clinical isolates.

Indexed as

drug resistanceisoniazidMycobacterium tuberculosisquantitative real-time PCRrifampicin

Identifiers

PMID27199947
PMCPMC4850356
OpenAlexW2343108898

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LicenceCC BY
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Registered trials

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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.