The online version of this article (https://doi.org/10.1186/s12879-017-2910-y) contains supplementary material, which is available to authorized users.
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.
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.
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).
These results provide experimental evidence of the immunogenicity of novel TB proteins that are suitable for the development of serodiagnostic tools for LTBI.
Additional file 1: Table S1. Clinical characteristics of the study population; Table S2. The immunoproteome of latent tuberculosis; Table S3. The cross-reacted antigens between LTBI and active TB; Table S4. Proteins associated with latent tuberculosis; Table S5. Proportions of classes of protein in the immunoproteomes of latent and active TB. (DOC 126 kb)
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- ORFeome-based identification of biomarkers for serodiagnosis of Mycobacterium tuberculosis latent infection
- BioMed Central
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