| Title |
Simultaneous Detection of Oseltamivir- and Amantadine-Resistant Influenza by Oligonucleotide Microarray Visualization
|
|---|---|
| Published in |
PLOS ONE, February 2013
|
| DOI | 10.1371/journal.pone.0057154 |
| Pubmed ID | |
| Authors |
Yingjie Zhang, Qiqi Liu, Dou Wang, Suhong Chen, Shengqi Wang |
| Abstract |
Presently, the resistance of Influenza A virus isolates causes great difficulty for the prevention and treatment of influenza A virus infection. It is important to establish a drug-resistance detection method for epidemiological study and personalized medicine in the clinical setting. Consequently, a cost-effective oligonucleotide microarray visualization method, which was based on quantum dot-catalyzed silver deposition, was developed and evaluated for the simultaneous detection of neuraminidase H275Y and E119V; matrix protein 2 V27A and S31N mutations of influenza A (H3N2), seasonal influenza A (H1N1), and 2009 influenza A (H1N1). Then, 307 clinical throat swab specimens were detected and the drug-resistance results showed that 100% (17/17) of influenza A (H3N2) and 100% (259/259) of 2009 influenza A (H1N1) samples were resistant to amantadine and susceptible to oseltamivir; and 100% (5/5) of seasonal influenza A (H1N1) samples were resistant to both amantadine and oseltamivir. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 20% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 20% |
| Economics, Econometrics and Finance | 3 | 10% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 6 | 20% |
| Unknown | 11 | 37% |