Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/222338
Title: Targeting plasmid-encoded proteins that contain immunoglobulin-like domains to combat antimicrobial resistance
Author: Prieto Durán, Alejandro
Miró Martí, Ma. Lluïsa
Margolles, Yago
Bernabeu Lorenzo, Manuel
Salguero, David
Merino Montero, Susana
Tomàs Magaña, Juan
Corbera, Juan Alberto
Pérez Bosque, Anna
Hüttener Queiroz, Mário
Fernández, Luis Ángel
Juárez Giménez, Antonio
Keywords: Microbiologia
Salmonel·la
Malalties infeccioses
Microbiology
Salmonella
Communicable diseases
Issue Date: 24-Jul-2024
Publisher: eLife Sciences
Abstract: Antimicrobial resistance (AMR) poses a significant threat to human health. Although vaccines have been developed to combat AMR, it has proven challenging to associate specific vaccine antigens with AMR. Bacterial plasmids play a crucial role in the transmission of AMR. Our recent research has identified a group of bacterial plasmids (specifically, IncHI plasmids) that encode large molecular mass proteins containing bacterial immunoglobulin-like domains. These proteins are found on the external surface of the bacterial cells, such as in the flagella or conjugative pili. In this study, we show that these proteins are antigenic and can protect mice from infection caused by an AMR Salmonella strain harboring one of these plasmids. Furthermore, we successfully generated nanobodies targeting these proteins, that were shown to interfere with the conjugative transfer of IncHI plasmids. Considering that these proteins are also encoded in other groups of plasmids, such as IncA/C and IncP2, targeting them could be a valuable strategy in combating AMR infections caused by bacteria harboring different groups of AMR plasmids. Since the selected antigens are directly linked to AMR itself, the protective effect extends beyond specific microorganisms to include all those carrying the corresponding resistance plasmids.
Note: Reproducció del document publicat a: https://doi.org/10.7554/eLife.95328.3
It is part of: eLife, 2024, vol. 13, p. 1-23
URI: https://hdl.handle.net/2445/222338
Related resource: https://doi.org/10.7554/eLife.95328.3
ISSN: 2050-084X
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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