Title |
A novel multi-epitope recombined protein for diagnosis of human brucellosis
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Published in |
BMC Infectious Diseases, May 2016
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DOI | 10.1186/s12879-016-1552-9 |
Pubmed ID | |
Authors |
Dehui Yin, Li Li, Xiuling Song, Han Li, Juan Wang, Wen Ju, Xiaofeng Qu, Dandan Song, Yushen Liu, Xiangjun Meng, Hongqian Cao, Weiyi Song, Rizeng Meng, Jinhua Liu, Juan Li, Kun Xu |
Abstract |
In epidemic regions of the world, brucellosis is a reemerging zoonosis with minimal mortality but is a serious public hygiene problem. Currently, there are various methods for brucellosis diagnosis, however few of them are available to be used to diagnose, especially for serious cross-reaction with other bacteria. To overcome this disadvantage, we explored a novel multi-epitope recombinant protein as human brucellosis diagnostic antigen. We established an indirect enzyme-linked immunosorbent assay (ELISA) based on this recombinant protein. 248 sera obtained from three different groups including patients with brucellosis (146 samples), non-brucellosis patients (82 samples), and healthy individuals (20 samples) were tested by indirect ELISA. To evaluate the assay, a receiver-operating characteristic (ROC) analysis and immunoblotting were carried out using these characterized serum samples. For this test, the area under the ROC curve was 0.9409 (95 % confidence interval, 0.9108 to 0.9709), and a sensitivity of 88.89 % and a specificity of 85.54 % was given with a cutoff value of 0.3865 from this ROC analysis. The Western blot results indicate that it is feasible to differentiate human brucellosis and non-brucellosis with the newly established method based on this recombinant protein. Our results obtained high diagnostic accuracy of the ELISA assay which encourage the use of this novel recombinant protein as diagnostic antigen to implement serological diagnosis of brucellosis. |
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Geographical breakdown
Country | Count | As % |
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Venezuela, Bolivarian Republic of | 1 | 100% |
Demographic breakdown
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
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United Kingdom | 1 | 1% |
Spain | 1 | 1% |
Unknown | 65 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 9 | 13% |
Researcher | 9 | 13% |
Student > Bachelor | 9 | 13% |
Student > Master | 5 | 7% |
Student > Postgraduate | 4 | 6% |
Other | 10 | 15% |
Unknown | 21 | 31% |
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Agricultural and Biological Sciences | 10 | 15% |
Veterinary Science and Veterinary Medicine | 6 | 9% |
Immunology and Microbiology | 6 | 9% |
Medicine and Dentistry | 5 | 7% |
Other | 4 | 6% |
Unknown | 25 | 37% |