Completed Infection & Immunity Digestion, Kidneys & Other Organs

Human monoclonal antibodies against Shigella (ShiMabs), for therapy and vaccine acceleration

In plain English

AI plain-English summary

Shigella bacteria are killing hundreds of thousands of children in low- and middle-income countries each year, and the bacteria are becoming resistant to the antibiotics used to treat them. This project aims to develop human monoclonal antibodies—immune proteins made in a lab—that can directly neutralise Shigella infections, offering a therapy that does not rely on antibiotics. The researchers will clone antibody-producing B cells from people who have recovered from shigellosis, then use high-content confocal microscopy and machine learning to screen thousands of antibodies for those that bind to, intoxicate, or kill the bacteria. They also plan to identify protective antigens common to all Shigella serotypes, which could underpin a universal vaccine. If successful, the work would provide an affordable, antibody-based treatment for use in low-resource settings, reduce the need for antibiotics, and accelerate vaccine development by establishing standardised correlates of protection. The project directly addresses antimicrobial resistance by offering a non-antibiotic route to control a major diarrhoeal disease.

View original technical description
The project is expected to contribute significantly to a flagship approach to Shigella and to accelerate the development of an ultimate remedy to shigellosis. This will be done by i) developing human monoclonal antibodies (mAbs) against Shigella that overcome antimicrobial resistance (AMR) and are affordable in low- and middle-income countries (LMIC); ii) establishing standard correlates of protection which will accelerate development and recommendation of antibodies and vaccines; iii) providing the bases for universal vaccines by identifying novel protective antigens common to all serotypes or common epitopes present in the lipopolysaccharide of all serotypes. We will take advantage of the recent possibility of high-throughput cloning of human B cells from convalescent or vaccinated people to find targets difficult or impossible to be discovered using conventional technologies. We will apply for the first time high-content confocal microscopy screening of human mAbs interacting with bacteria and we will use machine Learning and artificial intelligence to analyze high-quality digital images to detect antibodies that bind, intoxicate or kill bacteria. The development of effective mAbs and vaccines against AMR bacteria is one of the best approaches to fight AMR since they can reduce the overall use of antibiotics and decrease the incidence of resistant infections.

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Researchers

Rino Rappuoli (EPMC Awardee)

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Original classification

Innovations AIGH Enterics Flagship

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