| Title |
Rapid and sensitive detection of Yersinia pestis by lateral-flow assay in simulated clinical samples
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2018
|
| DOI | 10.1186/s12879-018-3315-2 |
| Pubmed ID | |
| Authors |
Hui-Ling Hsu, Chuan-Chang Chuang, Chung-Chih Liang, Der-Jiang Chiao, Hsueh-Ling Wu, Yu-Ping Wu, Feng-Ping Lin, Rong-Hwa Shyu |
| Abstract |
Yersinia pestis is a contributing agent to the epidemic disease, plague, which killed an estimated 200 million people during historical times. In this study, a rapid, cheap, sensitive, and specific technique, the lateral flow assay (F1 strips), has been successfully developed to detect this pathogen, by using paired monoclonal antibodies (MAbs) against Y. pestis capsule like fraction 1 (F1) protein. Compared with the polyclonal antibody (PAb) based F1 strips, the Mab-based F1 strips have a remarkable increased detection limitation (10 to 100 folds). Furthermore, besides the limitation and specificity evaluation, the application of this F1 strip on simulated clinical samples indicate the LFA can be a good candidate to detect plague. Recombinant F1 antigen was expressed and purified from a series of works. The various anti-F1 monoclonal antibodies generated from hybridoma cells were screened with the ELISA technique. To evaluate the feasibility of this Y. pestis F1 test strip, the F1 protein/Y. pestis was spiked into simulated clinical samples such as human serum, mouse bronchoalveolar lavage fluids, and mouse blood to mimic natural infection status. Additionally, this technique was applied to detect the Y. pestis in the environment-captured rats, to evaluate the practical usefulness of the strips. By using this MAb-based-LFA technique, 4 ng/ml of recombinant F1-protein and 103 CFU/ml of Y. pestis could be detected in less than 10 mins, which is at least 10-folds than that of the PAb format. On the other hand, although various Yersinia strains were applied to the strips, only Y. pestis strain showed a positive result; all other Yersinia species did not produce a positive signal, indicating the high efficiency and specificity of the MAb-based F1-strips. Based on our findings, we suggest that the MAb-format-LFA will be valuable as a diagnostic tool for the detection of Y. pestis. This report shows that the F1 strip is sufficient to support not only the detection of plague in simulated clinical samples, but also it may be a good candidate to meet the epidemiological surveillance during an outbreak of the biological warfare. |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 21% |
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Professor | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Agricultural and Biological Sciences | 6 | 14% |
| Veterinary Science and Veterinary Medicine | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Chemical Engineering | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 14 | 33% |
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 21 August 2018.
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#20,530,891
of 23,100,534 outputs
Outputs from BMC Infectious Diseases
#6,542
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#288,999
of 331,095 outputs
Outputs of similar age from BMC Infectious Diseases
#127
of 170 outputs
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