mtTB

mtTB identifies mitochondria-derived small RNAs (mtRNAs) from human peripheral blood mononuclear cells to enable blood-based screening and diagnostic classification of pulmonary tuberculosis.

Key Features:

• Biomarker Identification: Leverages mitochondria-derived small RNAs (mtRNAs) detected in human peripheral blood mononuclear cells as candidate biomarkers for pulmonary tuberculosis.
• Normalization and Detection: Implements a ratio-based method for normalization and detection of differentially expressed small non-coding RNAs (sncRNAs) to address instability of traditional methods.
• Predictive Model: Constructs a classifier using seven specific mtRNA biomarkers and reports performance in a discovery cohort (n=23, AUC=0.906) and an independent validation cohort (n=20, AUC=0.968).

Scientific Applications:

• Blood-based pulmonary tuberculosis screening: Enables screening for pulmonary tuberculosis using mtRNA biomarkers from peripheral blood mononuclear cells.
• Diagnostic classifier validation: Supports diagnostic classification of pulmonary TB versus healthy controls with independent cohort validation and AUC-based performance assessment.

Methodology:

Uses mitochondria-derived small RNAs from human peripheral blood mononuclear cells, applies a ratio-based normalization/detection method for sncRNAs, trains a predictive model using seven mtRNA biomarkers, and evaluates performance by AUC in a discovery cohort (n=23, AUC=0.906) and an independent validation cohort (n=20, AUC=0.968).