Cytokine Patterns in Tuberculosis Infection; IL-1ra, IL-2 and IP-10 Differentiate Borderline QuantiFERON-TB Samples from Uninfected Controls

• Published in: PloS one Vol. 11; no. 9; p. e0163848
• Main Authors: Wergeland, Ida, Assmus, Jörg, Dyrhol-Riise, Anne Ma
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 29.09.2016; Public Library of Science (PLoS)
• Subjects: Antigens; Assaying; Biology and Life Sciences; Biomarkers; Comparative analysis; Cytokines; Dentistry; Diagnostic systems; Disease; Disease prevention; Granulocytes; Growth factors; HIV; Hospitals; Human immunodeficiency virus; Infections; Interferon; Interleukin 1 receptor antagonist; Interleukin 1 receptors; Interleukin 13; Interleukin 15; Interleukin 2; IP-10 protein; Medical diagnosis; Medical research; Medicine; Medicine and Health Sciences; Monocyte chemoattractant protein 1; Mycobacterium; Mycobacterium tuberculosis; Patients; Proteins; Tuberculosis; Tumor necrosis factor-TNF; γ-Interferon; Norway
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0163848

Interferon gamma release assays (IGRAs) do not discriminate between active tuberculosis (TB) and latent TB infection (LTBI), which limit their use in TB endemic areas. Subjects with QuantiFERON-TB (QFT) results around the diagnostic cut-off more likely show inconsistent results on serial testing which makes the interpretation of the assay difficult. We have studied potential biomarkers in patients with various stages of TB infection and with borderline QFT tests compared to those with higher values. 27 soluble biomarkers were analysed in QFT supernatants from patients with active TB (n = 18), individuals with LTBI (n = 48) and from QFT negative controls (n = 16) by the Multiplex bead assay. The LTBI group was classified into two groups according to QFT IFN-γ levels; QFT borderline (0.35-0.70 IU/mL, n = 11) or QFT high (>0.70 IU/mL, n = 36). The levels of IL-1ra, IL-2, IL-13, IL-15, IFN-γ, IP-10 and MCP-1 in background corrected TB antigen stimulated supernatants (TBAg-Nil) significantly distinguished both active TB and LTBI QFT high groups from the QFT negative controls (p≤0.004). In addition, IL-1ra, IL-2 and IP-10 significantly differentiated the QFT borderline group from the controls (p≤0.001). Still, in the QFT borderline group the IL-1ra and IP-10 levels were not significant different from neither the QFT high nor the active TB group, whereas the IL-2 levels were lower (p≤0.003). The level of IP-10 showed the best separation between the QFT borderline group and the QFT negative controls (AUC 0.92) and offered 100% sensitivity for active TB. IL-1ra, IL-2 and IP-10 differentiate QFT borderline samples from uninfected controls and the majority of QFT borderline subjects were classified as LTBI by these markers. Still, inconsistency was seen, and further studies are needed to examine the performance of alternative markers before concluded if they could be used as diagnostics tools.