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ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection
BACKGROUND: The challenges posed by Mycobacterium tuberculosis infection require the gradual removal of the pool of latent tuberculosis infection (LTBI). The current cell-immune-based diagnostic tests used to identify LTBI individuals have several irreversible drawbacks. In the present study, we att...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745629/ https://www.ncbi.nlm.nih.gov/pubmed/29281987 http://dx.doi.org/10.1186/s12879-017-2910-y |
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author | Zhou, Fangbin Xu, Xindong Wu, Sijia Cui, Xiaobing Pan, Weiqing |
author_facet | Zhou, Fangbin Xu, Xindong Wu, Sijia Cui, Xiaobing Pan, Weiqing |
author_sort | Zhou, Fangbin |
collection | PubMed |
description | BACKGROUND: The challenges posed by Mycobacterium tuberculosis infection require the gradual removal of the pool of latent tuberculosis infection (LTBI). The current cell-immune-based diagnostic tests used to identify LTBI individuals have several irreversible drawbacks. In the present study, we attempted to identify novel diagnostic antigens for LTBI. METHODS: A high-throughput glutathione S-transferase (GST)-fusion technology was used to express over 409 TB proteins and sera from LTBI and healthy individuals was used to interrogate these GST-TB fusion proteins. RESULTS: Of 409 TB proteins, sixty-three reacted seropositive and defined the immuno-ORFeome of latent M. tuberculosis. Within the immuno-ORFeome, the rare targets were predominantly latency-associated proteins and secreted proteins, while the preferentially recognized antigens tended to be transmembrane proteins. Six of novel highly-reactive antigens had the potential to distinguish LTBI from active TB and healthy individuals. A multiple-antigen combination set was selected through analysis of various combinations. A panel of 94 archived serum samples was used to validate the diagnostic performance of the multiple-antigen combination set, which had sensitivity of 66.1% (95% CI 52.9, 77.4) and specificity of 87.5% (95% CI 70.1, 95.1). CONCLUSION: These results provide experimental evidence of the immunogenicity of novel TB proteins that are suitable for the development of serodiagnostic tools for LTBI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-017-2910-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5745629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57456292018-01-03 ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection Zhou, Fangbin Xu, Xindong Wu, Sijia Cui, Xiaobing Pan, Weiqing BMC Infect Dis Research Article BACKGROUND: The challenges posed by Mycobacterium tuberculosis infection require the gradual removal of the pool of latent tuberculosis infection (LTBI). The current cell-immune-based diagnostic tests used to identify LTBI individuals have several irreversible drawbacks. In the present study, we attempted to identify novel diagnostic antigens for LTBI. METHODS: A high-throughput glutathione S-transferase (GST)-fusion technology was used to express over 409 TB proteins and sera from LTBI and healthy individuals was used to interrogate these GST-TB fusion proteins. RESULTS: Of 409 TB proteins, sixty-three reacted seropositive and defined the immuno-ORFeome of latent M. tuberculosis. Within the immuno-ORFeome, the rare targets were predominantly latency-associated proteins and secreted proteins, while the preferentially recognized antigens tended to be transmembrane proteins. Six of novel highly-reactive antigens had the potential to distinguish LTBI from active TB and healthy individuals. A multiple-antigen combination set was selected through analysis of various combinations. A panel of 94 archived serum samples was used to validate the diagnostic performance of the multiple-antigen combination set, which had sensitivity of 66.1% (95% CI 52.9, 77.4) and specificity of 87.5% (95% CI 70.1, 95.1). CONCLUSION: These results provide experimental evidence of the immunogenicity of novel TB proteins that are suitable for the development of serodiagnostic tools for LTBI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-017-2910-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-28 /pmc/articles/PMC5745629/ /pubmed/29281987 http://dx.doi.org/10.1186/s12879-017-2910-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zhou, Fangbin Xu, Xindong Wu, Sijia Cui, Xiaobing Pan, Weiqing ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection |
title | ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection |
title_full | ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection |
title_fullStr | ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection |
title_full_unstemmed | ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection |
title_short | ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection |
title_sort | orfeome-based identification of biomarkers for serodiagnosis of mycobacterium tuberculosis latent infection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745629/ https://www.ncbi.nlm.nih.gov/pubmed/29281987 http://dx.doi.org/10.1186/s12879-017-2910-y |
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