Evidence map›Paper›PMID 27047485›Full record

ArticleFrontiers in microbiology2016

Mycobacterial Interspersed Repetitive Unit Can Predict Drug Resistance of Mycobacterium tuberculosis in China.

Xian-Feng Cheng, Chao Jiang, Min Zhang, Dan Xia, Li-Li Chu, Yu-Feng Wen, Ming Zhu, Yue-Gen Jiang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Genome analyses of 174 strains ofMicrobial genomics · 2021
    Article
  3. Article
  4. Clustering and recent transmission ofInfection and drug resistance · 2018
    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

8 authors at 4 institutions in 1 country.

Xian-Feng ChengSchool of Public Health, Wannan Medical CollegeWuhu, China; Clinical Laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences - Peking Union Medical CollegeNanjing, China.
Chao JiangSchool of Public Health, Wannan Medical College Wuhu, China.
Min ZhangClinical Laboratory, Zhongda Hospital, School of Medicine, Southeast University Nanjing, China.
Dan XiaSchool of Public Health, Wannan Medical College Wuhu, China.
Li-Li ChuPediatric Research Institute, Nanjing Children's Hospital, Nanjing Medical University Nanjing, China.
Yu-Feng WenSchool of Public Health, Wannan Medical College Wuhu, China.
Ming ZhuClinical Laboratory, Ma'anshan Center for Disease Control and Prevention Ma'anshan, China.
Yue-Gen JiangClinical Laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences - Peking Union Medical CollegeNanjing, China; Clinical Laboratory, Ma'anshan Center for Disease Control and PreventionMa'anshan, China.
Wannan Medical College · CNAnshan Hospital · CNNanjing Children's Hospital · CNZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, Mycobacterial Interspersed Repetitive Unit (MIRU) was supposed to be associated with drug resistance in Mycobacterium tuberculosis (M. tuberculosis), but whether the association exists actually in local strains in China was still unknown. This research was conducted to explore that association and the predictability of MIRU to drug resistance of Tuberculosis (TB).

methodsThe clinical isolates were collected and the susceptibility test were conducted with Lowenstein-Jensen (LJ) medium for five anti-TB drug. Based on PCR of MIRU-VNTR (Variable Number of Tandem Repeat) genotyping, we tested the number of the repeat unite of MIRU. Then, we used logistic regression to evaluate the association between 15 MIRU and drug resistance. In addition, we explored the most suitable MIRU locus of identified MIRU loci for drug resistance by multivariate logistic regression.

resultsOf the 102 strains, one isolate was resistant to rifampicin and one isolate was resistant to streptomycin. Among these fifteen MIRU, there was a association between MIRU loci polymorphism and anti-tuberculosis drug resistance, ETRB (P = 0.03, OR = 0.19, 95% CI 0.05-0.81) and ETRC (P = 0.01, OR = 0.14, 95% CI 0.03-0.64) were negatively related to isoniazid resistance; MIRU20 (P = 0.05, OR = 2.87, 95% CI 1.01-8.12) was positively associated with ethambutol resistance; and QUB11a (P = 0.02, OR = 0.79, 95% CI 0.65-0.96) was a negative association factor of p-aminosalicylic acid resistance.

conclusionOur research showed that MIRU loci may predict drug resistance of tuberculosis in China. However, the mechanism still needs further exploration.

Indexed as

drug resistancegenotypingMycobacterial Interspersed Repetitive UnitMycobacterium tuberculosisrepeat units

Identifiers

PMID27047485
PMCPMC4803746
OpenAlexW2330281227

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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.