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Rapid MRSA detection via tandem mass spectrometry of the intact 80 kDa PBP2a resistance protein

Treatment of antibiotic-resistant infections is dependent on the detection of specific bacterial genes or proteins in clinical assays. Identification of methicillin-resistant Staphylococcus aureus (MRSA) is often accomplished through the detection of penicillin-binding protein 2a (PBP2a). With great...

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Detalles Bibliográficos
Autores principales: Neil, Jason R., Verma, Arvind, Kronewitter, Scott R., McGee, William M., Mullen, Christopher, Viirtola, Marjaana, Kotovuori, Annika, Friedrich, Herdis, Finell, Johan, Rannisto, Joni, Syka, John E. P., Stephenson, James L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443585/
https://www.ncbi.nlm.nih.gov/pubmed/34526615
http://dx.doi.org/10.1038/s41598-021-97844-w
Descripción
Sumario:Treatment of antibiotic-resistant infections is dependent on the detection of specific bacterial genes or proteins in clinical assays. Identification of methicillin-resistant Staphylococcus aureus (MRSA) is often accomplished through the detection of penicillin-binding protein 2a (PBP2a). With greater dependence on mass spectrometry (MS)-based bacterial identification, complementary efforts to detect resistance have been hindered by the complexity of those proteins responsible. Initial characterization of PBP2a indicates the presence of glycan modifications. To simplify detection, we demonstrate a proof-of-concept tandem MS approach involving the generation of N-terminal PBP2a peptide-like fragments and detection of unique product ions during top-down proteomic sample analyses. This approach was implemented for two PBP2a variants, PBP2a(mecA) and PBP2a(mecC), and was accurate across a representative panel of MRSA strains with different genetic backgrounds. Additionally, PBP2a(mecA) was successfully detected from clinical isolates using a five-minute liquid chromatographic separation and implementation of this MS detection strategy. Our results highlight the capability of direct MS-based resistance marker detection and potential advantages for implementing these approaches in clinical diagnostics.