Elevated baseline adiponectin levels predict increased risk of progression to tuberculosis among interferon gamma release assay-positive close contacts

Background: Without tuberculosis preventive therapy (TPT), approximately 5% of individuals infected with M. tuberculosis progress to active tuberculosis (TB) disease. Recent studies have identified body mass index (BMI) < 25 kg/m2 as a predictor of TB progression, but additional markers are needed to better identify persons at increased risk. Methods: Close contacts of patients with culture-confirmed pulmonary TB were enrolled in the Regional Prospective Observational Research in Tuberculosis (RePORT)-Brazil cohort from 2015 to 2019 and followed for up to 24 months. Analyses were restricted to interferon-{gamma} release assay (IGRA)-positive contacts who did not receive TPT or received <30 days of isoniazid. Prediction models to identify close contacts at increased TB risk were constructed using two complementary approaches: incremental models used BMI as the base predictor and evaluated whether baseline whole-blood transcriptomic signatures, human genetic polymorphism risk scores derived from low-pass whole-genome sequencing, and BMI-related plasma biomarkers improved model discrimination. Agnostic models did not impose BMI in the model and used penalized regression for predictor selection. Results: Among 285 close contacts, 15 (5%) progressed to TB. The model with BMI as unique predictor had a C-index of 0.66 (95% confidence interval [CI] 0.55; 0.77). Adding Rajan5 or Duffy9 transcriptomic signature scores to BMI improved discrimination compared with BMI alone, with C-indices of 0.78 (95% CI 0.62; 0.99) and 0.75 (95% CI 0.61; 0.89), respectively, but did not further improve discrimination after accounting for adiponectin. Adding adiponectin to BMI increased the C-index to 0.80 (95% CI 0.68; 0.91), while adiponectin alone captured most of the discriminatory performance in agnostic models (C-index, 0.80, 95% CI 0.69; 0.91). Genetic risk scores, leptin, and the adiponectin:leptin ratio did not improve model discrimination compared with the BMI-only model. In exploratory post hoc analyses, higher adiponectin was associated with increased risk of progression to TB, with each two-fold increase associated with a higher hazard of TB (HR 2.91, 95% CI 1.73; 4.91, p < 0.001). Conclusions: Baseline adiponectin strongly predicted progression to TB among close contacts and captured most of the discriminatory information contained in epidemiological and transcriptomic variables. Its consistent selection across modelling approaches supports adiponectin as a promising biomarker for TB risk stratification.