Evaluation of host and mycobacterial biomarkers that can serve as systemic measures of pathogen load in a BCG-orientated human lung challenge model (TB- LOAD)
In plain English
AI plain-English summaryA tuberculosis vaccine candidate currently cannot be tested in humans by deliberately exposing them to the disease, because the bacteria are too dangerous. This project uses a safe, weakened relative of TB—the BCG vaccine strain—as a stand-in, delivered directly into the lungs of healthy volunteers, to see whether blood, urine, or breath samples can reliably measure how quickly the body clears the bacteria. The core problem is that TB drugs and vaccines are slow to develop partly because there is no good way to compare how well different treatments work in people. Without a measurable “pathogen load” from a controlled infection, researchers cannot quickly tell which candidate is better at killing the bacteria. This human lung challenge model, pioneered by the team six years ago, could fill that gap—but only if they first prove that a simple blood or urine test can track bacterial clearance. If this proof-of-concept succeeds, it would give TB researchers a standardised, rapid metric for down-selecting vaccines and drugs in early-stage trials. That could cut years off development timelines for new TB interventions, which currently kill over a million people annually. The work is applied, not fundamental science—it directly addresses a bottleneck in the TB pipeline.
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