Identification of plasma biomarkers for discrimination between tuberculosis infection/disease and pulmonary non tuberculosis disease

• DOI: 10.1371/journal.pone.0192664
• Publication Date: 2018-03-15T13:31:02Z
• Authors: Marco Pio La Manna; Valentina Orlando; Paolo Li Donni; Guido Sireci; Paola Di Carlo; Antonio Cascio; Francesco Dieli; Nadia Caccamo
• Keywords: Multiplex

We used the Luminex Bead Array Multiplex Immunoassay to measure cytokines, chemokines and growth factors responses same antigens for RD1-based Interferon γ Release Assay (IGRA) test. Seventy-nine individuals, 27 active TB, 32 latent infection subsets, 20 individuals derivative purified protein (PPD) negative (subjects that do not have any indurative cutaneous reaction after 72 hrs of intradermal injection PPD) with other pulmonary disease were retrospectively studied. Forty-eight analytes evaluated by in plasma obtained from whole blood stimulated cells. The diagnostic accuracies markers detected ROC curve analysis combination multiple biomarkers improve potential discriminate between infection/disease non infection. Among 48 13 analytes, namely IL-3, IL-12-p40, LIF, IFNα2, IL-2ra, IL-13, b-NGF, SCF, TNF-β, TRAIL, IL-2, IFN-γ, IP-10, MIG, significantly higher TB LTBI groups, compared NON-TB patients, while MIF was lower patients groups. culture supernatants revealed 11 (IL2, IP10, IL13, IL12-p40, IL2 Ra, LIF) discriminated AUC all ≥0.73, 14 IL2Ra, MIF, IL3, IFN-α2, ≥0.78, is a moderate, value terms accuracy Finally, combinations seven resulted accurate prediction 88.89% 82.35% subjects 90% non-TB respectively. Taken together, our data suggest Mycobacterium tuberculosis (Mtb) antigen dependent cytokines production could be useful as determine states when cohort.