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Association of targeted multiplex PCR with resequencing microarray for the detection of multiple respiratory pathogens

Overview of attention for article published in Frontiers in Microbiology, May 2015
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Title
Association of targeted multiplex PCR with resequencing microarray for the detection of multiple respiratory pathogens
Published in
Frontiers in Microbiology, May 2015
DOI 10.3389/fmicb.2015.00532
Pubmed ID
Authors

Hongwei Shen, Bingqing Zhu, Shulian Wang, Haolian Mo, Ji Wang, Jin Li, Chen Zhang, Huashu Zeng, Li Guan, Weixian Shi, Yong Zhang, Xuejun Ma

Abstract

A large number of viral and bacterial organisms are responsible for community-acquired pneumonia (CAP) which contributes to substantial burden on health management. A new resequencing microarray (RPM-IVDC1) associated with targeted multiplex PCR was recently developed and validated for multiple respiratory viruses detection and discrimination. In this study, we evaluated the capability of RPM-IVDC1 for simultaneous identification of multiple viral and bacterial organisms. The nasopharyngeal aspirates (NPAs) of 110 consecutive CAP patients, aged from 1 month to 96 years old, were collected from five distinct general hospitals in Beijing during 1-year period. The samples were subjected to the RPM-IVDC1 established protocol as compared to a real-time PCR (qRT-PCR), which was used as standard. The results of virus detection were consistent with those previously described. A total of 37 of Streptococcus pneumoniae, 14 of Haemophilus influenzae, 10 of Mycoplasma pneumoniae, two of Klebsiella pneumoniae and one of Moraxella catarrhalis were detected by RPM-IVDC1. The sensitivities and specificities were compared with those of qRT-PCR for S. pneumoniae (100, 100%, respectively), H. influenzae (92.3, 97.9%, respectively), M. pneumoniae (69.2, 99.0%, respectively), K. pneumoniae (100, 100%, respectively), and M. catarrhalis (100, 100%, respectively). Additional 22 of Streptococcus spp., 24 of Haemophilus spp. and 16 of Neisseria spp. were identified. In addition, methicillin-resistant and carbapenemases allele were also found in nine of Staphylococcus spp. and one of K. pneumoniae, respectively. These results demonstrated the capability of RPM-IVDC1 for simultaneous detection of broad-spectrum respiratory pathogens in complex backgrounds and the advantage of accessing to the actual sequences, showing great potential use of epidemic outbreak investigation. The detection results should be carefully interpreted when introducing this technique in the clinical diagnostics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Guatemala 1 2%
Peru 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Researcher 6 13%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Other 8 17%
Unknown 13 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 20%
Biochemistry, Genetics and Molecular Biology 7 15%
Immunology and Microbiology 5 11%
Medicine and Dentistry 4 9%
Computer Science 2 4%
Other 3 7%
Unknown 16 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 14 May 2015.
All research outputs
#20,271,607
of 22,803,211 outputs
Outputs from Frontiers in Microbiology
#22,349
of 24,751 outputs
Outputs of similar age
#222,919
of 266,683 outputs
Outputs of similar age from Frontiers in Microbiology
#317
of 387 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,751 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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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