Antibiotic resistance is one of the major public health challenges. Certain bacteria produce enzymes, called beta-lactamases, that can render widely used antibiotics—such as beta-lactams—ineffective. Among these, resistance to carbapenems—which are often reserved for severe infections—is of particular concern.
Rapidly identifying these resistance patterns is essential for adapting treatment, avoiding the unnecessary use of last-resort antibiotics, and limiting the spread of resistant bacteria in healthcare settings.
The goal of STABLE2 is to reduce the time between sample collection and diagnosis. “To achieve this, the project combines synthetic chemistry, electrochemistry, and microbiology. It aims to design molecules analogous to beta-lactams and then measure their transformation when they come into contact with the enzymes responsible for certain types of resistance,” explains Ph.D. student Jozie Tientcheu.
This transformation can generate a measurable electrochemical signal. Ultimately, this approach could contribute to the development of tests that are faster, more targeted, and better suited to the needs of laboratories and hospitals.