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Molecular Characterization of Prothionamide-Resistant Mycobacterium tuberculosis Isolates in Southern China

Overview of attention for article published in Frontiers in Microbiology, November 2017
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Title
Molecular Characterization of Prothionamide-Resistant Mycobacterium tuberculosis Isolates in Southern China
Published in
Frontiers in Microbiology, November 2017
DOI 10.3389/fmicb.2017.02358
Pubmed ID
Authors

Yaoju Tan, Biyi Su, Huiwen Zheng, Yuanyuan Song, Yufeng Wang, Yu Pang

Abstract

Prothionamide (PTH) has been widely used in the treatment of tuberculosis (TB), especially multidrug resistant tuberculosis (MDR-TB), while data regarding prevalence of resistance-causing mutation is limited. In this study, we aimed to investigate the molecular characteristics of PTH-resistant MTB isolates, and also analyzed the risk factors for PTH resistance among Mycobacterium tuberculosis (MTB) isolates in southern China. A total of 282 MTB isolates were enrolled in from Guangzhou Chest Hospital. Among these isolates, 46 (16.3%) were resistant to PTH. Statistical analysis revealed that PTH resistance was more likely to be associated with resistance to levofloxacin (LFX; OR: 2.18, 95% CI: 1.02-4.63; P = 0.04). Of the 46 PTH-resistant MTB isolates, 37 (80.4%) isolates harbored 19 different mutation types, including 10 (21.7%) isolates with double nucleotide substitutions and 27 (58.7%) with single nucleotide substitution. The mutations in ethA (51.4%, 19/37) were most frequently observed among PTH-resistant isolates, followed by 16 (43.2%) in the promoter of inhA and 6 (16.2%) in inhA. In addition, no significant difference was found in the distribution of isolates with different mutation types between Beijing and non-Beijing genotypes (P > 0.05). In conclusion, our data demonstrate that high diversity of genetic mutations conferring PTH resistance is identified among MTB isolates from southern China. Mutations in inhA, ethA, mshA, and ndh genes confer increased resistance of MTB to PTH. Ancient Beijing genotype strains have higher proportion of drug resistance compared with modern Beijing strains. In addition, PTH resistance is more likely to be observed in the LFX-resistant MTB isolates.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 15%
Student > Bachelor 3 12%
Student > Postgraduate 3 12%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 3 12%
Unknown 9 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 15%
Medicine and Dentistry 4 15%
Immunology and Microbiology 3 12%
Agricultural and Biological Sciences 2 8%
Computer Science 1 4%
Other 3 12%
Unknown 9 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 December 2017.
All research outputs
#17,923,510
of 23,012,811 outputs
Outputs from Frontiers in Microbiology
#17,409
of 25,119 outputs
Outputs of similar age
#305,594
of 437,916 outputs
Outputs of similar age from Frontiers in Microbiology
#392
of 520 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,119 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 520 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.