| Title |
Delayed and highly specific antibody response to nonstructural protein 1 (NS1) revealed during natural human ZIKV infection by NS1-based capture ELISA
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2018
|
| DOI | 10.1186/s12879-018-3173-y |
| Pubmed ID | |
| Authors |
Xiujie Gao, Yingfen Wen, Jian Wang, Wenxin Hong, Chunlin Li, Lingzhai Zhao, Chibiao Yin, Xia Jin, Fuchun Zhang, Lei Yu |
| Abstract |
Zika virus (ZIKV) had spread rapidly in the past few years in southern hemisphere where dengue virus (DENV) had caused epidemic problems for over half a century. The high degree of cross-reactivity of Envelope (E) protein specific antibody responses between ZIKV and DENV made it challenging to perform differential diagnosis between the two infections using standard ELISA method for E protein. Using an IgG capture ELISA, we investigated the kinetics of nonstructural protein 1 (NS1) antibody response during natural ZIKV infection and the cross-reactivity to NS1 proteins using convalescent sera obtained from patients infected by either DENV or ZIKV. The analyses of the sequential serum samples from ZIKV infected individuals showed NS1 specific Abs appeared 2 weeks later than E specific Abs. Notably, human sera from ZIKV infected individuals did not contain cross-reactivity to NS1 proteins of any of the four DENV serotypes. Furthermore, four out of five NS1-specific monoclonal antibodies (mAbs) isolated from ZIKV infected individuals did not bind to DENV NS1 proteins. Only limited amount of cross-reactivity to ZIKV NS1 was displayed in 108 DENV1 immune sera at 1:100 dilution. The high degree of NS1-specific Abs in both ZIKV and DENV infection revealed here suggest that NS1-based diagnostics would significantly improve the differential diagnosis between DENV and ZIKV infections. |
X Demographics
The data shown below were collected from the profiles of 3 X users 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 | 33% |
| Venezuela, Bolivarian Republic of | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 26% |
| Researcher | 15 | 24% |
| Student > Doctoral Student | 7 | 11% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 24% |
| Immunology and Microbiology | 13 | 21% |
| Agricultural and Biological Sciences | 6 | 10% |
| Medicine and Dentistry | 6 | 10% |
| Social Sciences | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 11 | 18% |
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 28 June 2018.
All research outputs
#17,980,413
of 23,090,520 outputs
Outputs from BMC Infectious Diseases
#5,176
of 7,748 outputs
Outputs of similar age
#237,306
of 328,569 outputs
Outputs of similar age from BMC Infectious Diseases
#82
of 140 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
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