ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection

Abstract 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...

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Main Authors: Fangbin Zhou, Xindong Xu, Sijia Wu, Xiaobing Cui, Weiqing Pan
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Infectious Diseases
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12879-017-2910-y
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author Fangbin Zhou
Xindong Xu
Sijia Wu
Xiaobing Cui
Weiqing Pan
author_facet Fangbin Zhou
Xindong Xu
Sijia Wu
Xiaobing Cui
Weiqing Pan
author_sort Fangbin Zhou
collection DOAJ
description Abstract 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.
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spelling doaj.art-f34bc1a8fa444eb4b8e5515c3c416aa02022-12-22T00:40:42ZengBMCBMC Infectious Diseases1471-23342017-12-011711810.1186/s12879-017-2910-yORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infectionFangbin Zhou0Xindong Xu1Sijia Wu2Xiaobing Cui3Weiqing Pan4Institute for Infectious Diseases and Vaccine Development, Tongji University School of MedicineInstitute for Infectious Diseases and Vaccine Development, Tongji University School of MedicineInstitute for Infectious Diseases and Vaccine Development, Tongji University School of MedicineInstitute for Infectious Diseases and Vaccine Development, Tongji University School of MedicineInstitute for Infectious Diseases and Vaccine Development, Tongji University School of MedicineAbstract 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.http://link.springer.com/article/10.1186/s12879-017-2910-yMycobacterium tuberculosisLatent TB infectionSerodiagnosisRecombinant GST-TB fusion proteinsSensitivity and specificity
spellingShingle Fangbin Zhou
Xindong Xu
Sijia Wu
Xiaobing Cui
Weiqing Pan
ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection
BMC Infectious Diseases
Mycobacterium tuberculosis
Latent TB infection
Serodiagnosis
Recombinant GST-TB fusion proteins
Sensitivity and specificity
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 Mycobacterium tuberculosis
Latent TB infection
Serodiagnosis
Recombinant GST-TB fusion proteins
Sensitivity and specificity
url http://link.springer.com/article/10.1186/s12879-017-2910-y
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