PEP-TORCH for Identifying Mycobacterial Species
When someone has a mycobacterial infection, such as tuberculosis, it can be difficult and time-consuming for doctors to identify exactly which type of bacteria is causing the illness. Many existing tests are either too general or take a long time to produce results. This delay can lead to patients receiving the wrong treatment or waiting too long to start therapy. This team has developed a faster and more precise way to identify the specific strain of bacteria so that treatment can begin right away and be more effective.
The Problem
When someone has a mycobacterial infection, such as tuberculosis, it can be difficult and time-consuming for doctors to identify exactly which type of bacteria is causing the illness. Many existing tests are either too general or take a long time to produce results. This delay can lead to patients receiving the wrong treatment or waiting too long to start therapy. There is a need for a faster and more precise way to identify the specific strain of bacteria so that treatment can begin right away and be more effective.
The Solution
Tulane researchers are creating a new approach that aims to solve a significant challenge by a new rapid diagnostic for mycobacteria infection called Peptide Taxonomy/ORGanism Checker (PEP-TORCH). The system uses cell culture liquid media filtrates (MIGT) to select specific and unique peptides to identify the organism species, subspecies, and strain using liquid-chromatography mass-spectrometry (LC-MS).The technology is at a laboratory testing stage of development, where the inventors have prototyped the assay and analysis software while showing proof of concept for mycobacterial species identification.
The Opportunity
This diagnostic tool will improve real-time decision-making in clinical settings, enabling faster treatment and better patient outcomes.
