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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...

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Autores principales: Zhou, Fangbin, Xu, Xindong, Wu, Sijia, Cui, Xiaobing, Pan, Weiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
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.
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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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