Precise Mycobacterial Species and Subspecies Identification Using the PEP-TORCH Peptidome Algorithm

ABSTRACT: Mycobacterial infections pose a significant global health concern, requiring precise identification for effective treatment. However, diagnosing them is challenging due to inaccurate identifications and prolonged times. In this study, we aimed to develop a novel peptidome-based method using mycobacterial growth indicator tube (MGIT) cultures for faster and more accurate identification. We created the PEPtide Taxonomy/Organism CHecking (PEP-TORCH), an algorithm that analyzes tryptic-peptide identified by mass spectrometry to diagnose species and subspecies with predominance scores. PEP-TORCH demonstrated 100% accuracy in identifying mycobacterial species, subspecies, and co-infections in 81 individuals suspected of mycobacterial infections, eliminating the need for a sub-solid culture proce

SUBMITTER: Duran Bao 

PROVIDER: S-SCDT-10_1038-S44321-025-00207-5 | biostudies-other |

REPOSITORIES: biostudies-other