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Utility of dominant epitopes derived from cell-wall protein LppZ for immunodiagnostic of pulmonary tuberculosis

Overview of attention for article published in BMC Immunology, March 2018
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Title
Utility of dominant epitopes derived from cell-wall protein LppZ for immunodiagnostic of pulmonary tuberculosis
Published in
BMC Immunology, March 2018
DOI 10.1186/s12865-018-0243-2
Pubmed ID
Authors

Jinjing Tan, Xiaoguang Wu, Suting Chen, Meng Gu, Hairong Huang, Wentao Yue

Abstract

Serological antibodies tests for tuberculosis (TB) are widely used in developing countries. They appear to have some advantages- faster, simple and could be used for extrapulmonary TB. However, most of current commercial TB serological tests are failed to provide sufficient sensitivity and specificity. Improved serological biomarkers were essential. In this study, we present an approach using peptide array to discover new immunodiagnostic biomarkers based on immunodominant epitopes of TB antigens. The Probable conserved lipoprotein LppZ, which is difficult to express and purify in vivo was selected as the model antigen. We use two-step screening for dominant epitope selection. Based on peptide array data from 170 TB patients and 41 control samples, two dominant epitopes were identified to have diagnostic value for TB patients. Truncation assay was used to identify the core reactive sequence. Peptide- based ELISA was used to evaluate the diagnostic ability of pep-LppZ-1 and pep-LppZ-13. Pep-LppZ-1 has a sensitivity of 49.2% and a specificity of 83.3% in TB diagnose. Pep-LppZ-13 has a sensitivity of 43.3% and a specificity of 88.5% in TB diagnose. Our result demonstrated that peptide array screening would be an advantage strategy of screening TB diagnostic peptides.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Student > Master 3 17%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Professor 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Medicine and Dentistry 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Nursing and Health Professions 1 6%
Immunology and Microbiology 1 6%
Other 3 17%
Unknown 6 33%
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 10 July 2019.
All research outputs
#15,891,267
of 23,605,418 outputs
Outputs from BMC Immunology
#327
of 586 outputs
Outputs of similar age
#213,314
of 332,094 outputs
Outputs of similar age from BMC Immunology
#7
of 10 outputs
Altmetric has tracked 23,605,418 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 586 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.