Open forum infectious diseases · 2026
Associations Between QuantiFERON-TB Gold Plus IFNγ Concentrations and Progression to Symptomatic Tuberculosis in Global High-Burden TB Settings.
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Sunshine Justine, Shaffer Michael, Han Linda L, Gaikwad Deepali, Houana Amelia A, Gler Maria Tarcela, Hadinegoro Sri Rezeki, Hanekom Willem A, Lama Javier R, Muyoyeta Monde, Musala Sissy, Nduba Videlis, Rolla Valeria C, Roy Tapash, Sutherland Jayne S, Khosa Celso, Wajja Anne, Walker Timothy M, Cinar Amy, Schmidt Alexander C, Dagnew Alemnew F, Frahm Nicole, for TBV02-E01 Study Group, for TBV02-E01 Study Group
Аннотация
BACKGROUND: Predictive biomarkers for symptomatic tuberculosis (TB) progression would transform targeted prevention efforts. Although interferon-gamma release assays (IGRAs), including QuantiFERON® TB-Gold Plus (QFT-Plus), have been studied for this purpose, systematic evaluation of the QFT-Plus TB1 and TB2 Interferon-Gamma (IFNγ) concentrations remains limited, particularly in high-burden TB settings.
METHODS: Baseline TB1 and TB2 IFNγ concentrations from 5246 participants (ages 15-34 years) in TB-endemic regions were analyzed in relation to subsequent TB outcomes over a median of 525 days follow-up (NCT05190146). Participants were categorized as controls (no TB), suspected TB (no microbiological confirmation), or laboratory-confirmed TB, including a subset meeting a stringent case definition (≥2 positive microbiologic tests). Associations between baseline IFNγ concentrations and progression to symptomatic TB were assessed.
RESULTS: In the full cohort (IGRA+/- participants), baseline TB2 IFNγ concentrations were significantly higher compared with controls among participants who developed suspected TB (P = .01), laboratory-confirmed TB (P = .01), or met the stringent case definition (P < .0001). In IGRA+ participants, baseline TB2 concentrations were significantly higher than controls in suspected (P = .01) and laboratory-confirmed (P = .02) groups. Associations with baseline TB1 IFNγ concentrations and TB progression were observed for participants meeting the stringent case definition within the full cohort (P = .001). Among stringent definition cases, TB2 concentrations achieved an area under the receiver operating characteristic curve of 0.84, with sensitivity of 80% and specificity of 78%.
CONCLUSIONS: Quantitative IFNγ concentrations from QFT-Plus, particularly TB2, were associated with progression to symptomatic TB, met or exceeded WHO-recommended sensitivity and specificity thresholds for predictive biomarkers, and may support biomarker-based stratification in TB clinical research.
METHODS: Baseline TB1 and TB2 IFNγ concentrations from 5246 participants (ages 15-34 years) in TB-endemic regions were analyzed in relation to subsequent TB outcomes over a median of 525 days follow-up (NCT05190146). Participants were categorized as controls (no TB), suspected TB (no microbiological confirmation), or laboratory-confirmed TB, including a subset meeting a stringent case definition (≥2 positive microbiologic tests). Associations between baseline IFNγ concentrations and progression to symptomatic TB were assessed.
RESULTS: In the full cohort (IGRA+/- participants), baseline TB2 IFNγ concentrations were significantly higher compared with controls among participants who developed suspected TB (P = .01), laboratory-confirmed TB (P = .01), or met the stringent case definition (P < .0001). In IGRA+ participants, baseline TB2 concentrations were significantly higher than controls in suspected (P = .01) and laboratory-confirmed (P = .02) groups. Associations with baseline TB1 IFNγ concentrations and TB progression were observed for participants meeting the stringent case definition within the full cohort (P = .001). Among stringent definition cases, TB2 concentrations achieved an area under the receiver operating characteristic curve of 0.84, with sensitivity of 80% and specificity of 78%.
CONCLUSIONS: Quantitative IFNγ concentrations from QFT-Plus, particularly TB2, were associated with progression to symptomatic TB, met or exceeded WHO-recommended sensitivity and specificity thresholds for predictive biomarkers, and may support biomarker-based stratification in TB clinical research.