Dataset Information

Diagnostic MALDI-TOF MS can differentiate between high and low toxic Staphylococcus aureus bacteraemia isolates as a predictor of patient outcome.

ABSTRACT: Staphylococcus aureus bacteraemia (SAB) is a major cause of blood-stream infection (BSI) in both healthcare and community settings. While the underlying comorbidities of a patient significantly contributes to their susceptibility to and outcome following SAB, recent studies show the importance of the level of cytolytic toxin production by the infecting bacterium. In this study we demonstrate that this cytotoxicity can be determined directly from the diagnostic MALDI-TOF mass spectrum generated in a routine diagnostic laboratory. With further development this information could be used to guide the management and improve the outcomes for SAB patients.

SUBMITTER: Brignoli T

PROVIDER: S-EPMC10323763 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Diagnostic MALDI-TOF MS can differentiate between high and low toxic <i>Staphylococcus aureus</i> bacteraemia isolates as a predictor of patient outcome.

Brignoli Tarcisio T Recker Mario M Lee Winnie W Y WWY Dong Tim T Bhamber Ranjeet R Albur Mahableshwar M Williams Philip P Dowsey Andrew W AW Massey Ruth C RC

Microbiology (Reading, England) 20220801 8

<i>Staphylococcus aureus</i> bacteraemia (SAB) is a major cause of blood-stream infection (BSI) in both healthcare and community settings. While the underlying comorbidities of a patient significantly contributes to their susceptibility to and outcome following SAB, recent studies show the importance of the level of cytolytic toxin production by the infecting bacterium. In this study we demonstrate that this cytotoxicity can be determined directly from the diagnostic MALDI-TOF mass spectrum gene ...[more]

PMID: 35997594

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Project description:Clostridioides difficile is an important organism causing healthcare-associated infections. It has been documented that specific strains caused multiple outbreaks globally, and patients infected with those strains are more likely to develop severe C. difficile infection (CDI). With the appearance of a variant strain, BI/NAP1 ribotype 027, responsible for several outbreaks and high mortality rates worldwide, the epidemiology of the CDI changed drastically in the United States, Europe, and some Latin American countries. Although the epidemic strain 027 was not yet detected in Brazil, there are ribotypes exclusively found in the country, such as, 131, 132, 133, 135, 142 and 143, which are responsible for outbreaks in Brazilian hospitals and nursing homes. Although PCR-ribotyping is the most used method in epidemiology studies of C. difficile, it is not available in Brazil. This study aimed to develop and validate an in-house database for detecting C. difficile ribotypes, usually involved in CDI in Brazilian hospitals, by using MALDI-TOF MS. A database with 19 different ribotypes, 13 with worldwide circulation and 6 Brazilian-restricted, was created based on 27 spectra readings of each ribotype. After BioNumerics analysis, neighbor-joining trees revealed that spectra were distributed in clusters according to ribotypes, showing that MALDI-TOF MS could discriminate all 19 ribotypes. Moreover, each ribotype showed a different profile with 42 biomarkers detected in total. Based on their intensity and occurrence, 13 biomarkers were chosen to compose ribotype-specific profiles, and in silico analysis showed that most of these biomarkers were uncharacterized proteins or well-conserved peptides, such as ribosomal proteins. A double-blind assessment using the 13 biomarkers correctly assigned the ribotype in 73% of the spectra analyzed, with 94%-100% of correct hits for 027 and for Brazilian ribotypes. Although further analyses are required, our results show that MALDI-TOF MS might be a reliable, fast and feasible alternative for epidemiological surveillance of C. difficile in Brazil.

Dataset Information

Diagnostic MALDI-TOF MS can differentiate between high and low toxic Staphylococcus aureus bacteraemia isolates as a predictor of patient outcome.

Publications

Diagnostic MALDI-TOF MS can differentiate between high and low toxic <i>Staphylococcus aureus</i> bacteraemia isolates as a predictor of patient outcome.

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OmicsDI is part of the ELIXIR infrastructure

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Dataset Information

Diagnostic MALDI-TOF MS can differentiate between high and low toxic Staphylococcus aureus bacteraemia isolates as a predictor of patient outcome.

Publications

Diagnostic MALDI-TOF MS can differentiate between high and low toxic &lt;i&gt;Staphylococcus aureus&lt;/i&gt; bacteraemia isolates as a predictor of patient outcome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Diagnostic MALDI-TOF MS can differentiate between high and low toxic <i>Staphylococcus aureus</i> bacteraemia isolates as a predictor of patient outcome.