RESUMO
Epidemiology of shigellosis has drastically changed in recent years due to globalization and sexual risk behaviors. Here, through whole-genome sequencing, we characterized two ESBL-producing Shigella sonnei strains (ShSoBUH1 and ShSoBUH2) carrying a blaCTX-M-15 among men who have sex with men (MSM), who had not recently traveled and presented sexual risk behaviors. Both strains harbored IncB/O/K/Z and IncFII plasmids, which carry aadA1, aadA5, sul1, sul2, dfrA1, dfrA17, mph(A), erm(B), tet(B), qacE and blaCTX-M-15 genes conferring resistance to 2nd and 3rd generation cephalosporins, cotrimoxazole, erythromycin, azithromycin and quinolones. IncFII plasmids containing blaCTX-M-15 from ShSoBUH1 and ShSoBUH2 presented 99,8-99,9% similarity with plasmids from another five CTX-M-15 S. sonnei strains detected in Belgium and Switzerland. A single-nucleotide polymorphism (SNP) analysis determined that the study strains differed by 361 SNPs, belonging to different clusters. To the best of our knowledge, this is the first report describing two extensively drug-resistant (XDR) CTX-M-15 S. sonnei strains in MSM.
RESUMO
Antimicrobial resistance poses a significant challenge in modern medicine, affecting public health. Klebsiella pneumoniae infections compound this issue due to their broad range of infections and the emergence of multiple antibiotic resistance mechanisms. Efficient detection of its capsular serotypes is crucial for immediate patient treatment, epidemiological tracking and outbreak containment. Current methods have limitations that can delay interventions and increase the risk of morbidity and mortality. Raman spectroscopy is a promising alternative to identify capsular serotypes in hypermucoviscous K. pneumoniae isolates. It provides rapid and in situ measurements with minimal sample preparation. Moreover, its combination with machine learning tools demonstrates high accuracy and reproducibility. This study analyzed the viability of combining Raman spectroscopy with one-dimensional convolutional neural networks (1-D CNN) to classify four capsular serotypes of hypermucoviscous K. pneumoniae: K1, K2, K54 and K57. Our approach involved identifying the most relevant Raman features for classification to prevent overfitting in the training models. Simplifying the dataset to essential information maintains accuracy and reduces computational costs and training time. Capsular serotypes were classified with 96 % accuracy using less than 30 Raman features out of 2400 contained in each spectrum. To validate our methodology, we expanded the dataset to include both hypermucoviscous and non-mucoid isolates and distinguished between them. This resulted in an accuracy rate of 94 %. The results obtained have significant potential for practical healthcare applications, especially for enabling the prompt prescription of the appropriate antibiotic treatment against infections.
Assuntos
Cápsulas Bacterianas , Klebsiella pneumoniae , Análise Espectral Raman , Klebsiella pneumoniae/isolamento & purificação , Klebsiella pneumoniae/efeitos dos fármacos , Análise Espectral Raman/métodos , Cápsulas Bacterianas/química , Sorogrupo , Redes Neurais de Computação , Infecções por Klebsiella/microbiologia , Infecções por Klebsiella/tratamento farmacológico , Infecções por Klebsiella/diagnóstico , HumanosRESUMO
Two episodes of bacteremia of cutaneous origin in a female patient were caused by two unrelated Streptococcus canis isolates within 1-year interval between the two infection episodes. The most likelihood transmission route in both episodes was a dog pet that habitually licked patient´s legs. Isolates were characterised by antimicrobial susceptibility test and whole genome sequencing. They belonged to sequence type (ST) 40 and 43, respectively. The ST40 isolate harboured antimicrobial resistance genes aadE, ermB and tetO, displaying resistance to erythromycin, clindamycin and tetracyclines, while ST43 isolate did not presented any known antimicrobial resistance determinant and was susceptible to all antibiotics tested. S. canis infections are rare in human; however, attention is needed for patients at risk with companion animals.
Assuntos
Zoonoses Bacterianas , Infecções Estreptocócicas , Streptococcus , Animais , Cães , Feminino , Humanos , Antibacterianos/farmacologia , Farmacorresistência Bacteriana/genética , Testes de Sensibilidade Microbiana , Infecções Estreptocócicas/veterinária , Infecções Estreptocócicas/microbiologia , Zoonoses Bacterianas/diagnósticoRESUMO
In 2022, the United Kingdom reported an increase in drug resistance in Shigella sonnei isolates. We report 33 cases in Spain genetically related to the UK cases and 4 cases with similar antimicrobial resistance profiles infected with genetically distant strains. Our results suggest circulation of multiple genetic clusters of multidrug-resistant S. sonnei in Spain.