Alessandro Brozzi

TL;DR: To significantly enhance the performances of next RV methods further studies should focus on the enhancement of accuracy of the existing protein annotation tools and should leverage on the assets of machine-learning techniques applied to biological datasets expanded also through the incorporation and curation of bacterial proteins characterized by negative experimental results.

TL;DR: In this paper, the authors examined if antigen genotyping could complement MATS in predicting strain coverage by the 4CMenB vaccine, and found that it was possible to predict strain coverage in four out of five cases, without requiring a cultivable isolate.

TL;DR: The Meningococcal Antigen Typing System (MATS) was developed to identify meningococcus group B strains with a high likelihood of being covered by the 4CMenB vaccine, but is limited by the requirement for viable isolates from culture confirmed cases as discussed by the authors.

TL;DR: The results suggest that 4CMenB could reduce the burden of IMD in Finland and that gMATS could be applied to monitor vaccine strain coverage and predict vaccine effectiveness.

TL;DR: MenACWY- CRM and MenC-CRM elicited bactericidal antibodies and immunological memory against hypervirulent cc11 and cc334 MenC strains responsible for IMD outbreaks.