| Title |
Multilocus sequence typing and variations in the oprD gene of Pseudomonas aeruginosa isolated from a hospital in China
|
|---|---|
| Published in |
Infection and Drug Resistance, January 2018
|
| DOI | 10.2147/idr.s152162 |
| Pubmed ID | |
| Authors |
Huiqin Liu, Weina Kong, Weina Yang, Gukui Chen, Haihua Liang, Yani Zhang |
| Abstract |
To provide information about the genetic relationships and mechanism underlying carbapenem resistance in Pseudomonas aeruginosa clinical isolates of a hospital in China. One hundred and sixty P. aeruginosa strains were isolated from a hospital in China. Susceptibility to 14 antimicrobial agents was determined by antimicrobial susceptibility testing. Multilocus sequence typing was used to characterize the genetic backgrounds of these clinical isolates. Forty-five strains were randomly selected for further evaluation of their carbapenem resistance mechanism. Their oprD gene was compared with the PAO1 sequence. Multilocus sequence typing analysis demonstrated that these isolates were highly diverse; 68 sequence types were identified, of which 28 were novel sequence types. Polygenic and eBURST analysis demonstrated genetically similar clones with dissimilar resistance profiles. Among the 45 randomly selected strains associated with carbapenem resistance, 2 were metallo β-lactamase producers; all the 45 strains were not AmpC overproducers. Sequence analysis revealed a high diversity in the oprD sequences among isolates. Strains susceptible to imipenem and meropenem with shortened L7 and L8 loops in oprD were the major strain types observed in this hospital. This study indicated that oprD provided the main mechanism for carbapenem resistance. The shortened L7 and L8 loops are responsible for carbapenem susceptibility. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Student > Doctoral Student | 3 | 15% |
| Other | 2 | 10% |
| Student > Master | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 30% |
| Agricultural and Biological Sciences | 4 | 20% |
| Medicine and Dentistry | 2 | 10% |
| Immunology and Microbiology | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 25% |
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 02 February 2018.
All research outputs
#17,925,346
of 23,015,156 outputs
Outputs from Infection and Drug Resistance
#926
of 1,685 outputs
Outputs of similar age
#310,363
of 442,344 outputs
Outputs of similar age from Infection and Drug Resistance
#15
of 30 outputs
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