Genomic analysis of blaNDM-1-carrying-Pseudomonas aeruginosa ST2407 in the chromosome from Brazil.

Pseudomonas aeruginosa, an opportunistic pathogen often found in Healthcare-associated infections (HAI), has shown increased resistance to carbapenems (imipenem, meropenem, doripenem), the primary treatment options. We've seen a rise in carbapenemase-producing P. aeruginosa in Brazil, including NDM-producers.

Genomic study of strains co-harboring and reveals a large multidrug-resistant plasmid encoding these carbapenemases in Brazil.

Introduction: contributes significantly to the global issue of multidrug-resistant (MDR) nosocomial infections. Often, these strains demonstrate resistance to carbapenems (MDR-CRAB), the first-line treatment for infections instigated by MDR . Our study focused on the antimicrobial susceptibility and genomic sequences related to plasmids from 12 clinical isolates of that carry both the blaOXA-58 and carbapenemase genes.

Comparative analysis of the antimicrobial resistance and virulence traits in ESBL-producing-Klebsiella pneumoniae ST307 strains colonizing the gastrointestinal tract and causing a fatal bloodstream infection in a leukemia patient.

Klebsiella pneumoniae is an opportunistic pathogen that can colonize the gastrointestinal tract (GIT) of humans. The mechanisms underlying the successful translocation of this pathogen to cause extra-intestinal infections remain unknown, although virulence and antimicrobial resistance traits likely play significant roles in the establishment of infections. We investigated K.

An updated gene regulatory network reconstruction of multidrug-resistant Pseudomonas aeruginosa CCBH4851.

Background: Healthcare-associated infections due to multidrug-resistant (MDR) bacteria such as Pseudomonas aeruginosa are significant public health issues worldwide. A system biology approach can help understand bacterial behaviour and provide novel ways to identify potential therapeutic targets and develop new drugs. Gene regulatory networks (GRN) are examples of in silico representation of interaction between regulatory genes and their targets.

Potential safety signals for antibacterial agents from the Brazilian national pharmacovigilance database (Vigimed/VigiFlow).

Antibacterial drugs are a widely used drug class due to the frequency of infectious diseases globally. Risks knowledge should ground these medicines' selection. Data mining in large databases is essential to identify early safety signals and to support pharmacovigilance systems.

CABGen: A Web Application for the Bioinformatic Analysis of Bacterial Genomes.

Due to recent developments in NGS technologies, genome sequencing is generating large volumes of new data containing a wealth of biological information. Understanding sequenced genomes in a biologically meaningful way and delineating their functional and metabolic landscapes is a first-level challenge. Considering the global antimicrobial resistance (AMR) problem, investments to expand surveillance and improve existing genome analysis technologies are pressing.

A Systematic Strategy to Find Potential Therapeutic Targets for Using Integrated Computational Models.

is an opportunistic human pathogen that has been a constant global health problem due to its ability to cause infection at different body sites and its resistance to a broad spectrum of clinically available antibiotics. The World Health Organization classified multidrug-resistant among the top-ranked organisms that require urgent research and development of effective therapeutic options. Several approaches have been taken to achieve these goals, but they all depend on discovering potential drug targets.

Cross-reactivity and immunotherapeutic potential of BamA recombinant protein from Acinetobacter baumannii.

Acinetobacter baumannii is an important nosocomial pathogen. BamA is a protein that belongs to a complex responsible for organizing the proteins on the bacterial outer membrane. In this work, we aimed to evaluate murine immune responses to BamA recombinant protein (rAbBamA) from A.

Characterization of a SPM-1 metallo-beta-lactamase-producing Pseudomonas aeruginosa by comparative genomics and phenotypic analysis.

Pseudomonas aeruginosa is one of the most common pathogens related to healthcare-associated infections. The Brazilian isolate, named CCBH4851, is a multidrug-resistant clone belonging to the sequence type 277. The antimicrobial resistance mechanisms of the CCBH4851 strain are associated with the presence of the bla[Formula: see text] gene, encoding a metallo-beta-lactamase, in combination with other exogenously acquired genes.

Draft Genome Sequence of a Wohlfahrtiimonas chitiniclastica Strain Isolated from Frozen Chicken in Rio De Janeiro, Brazil.

Here, we report the draft genome sequence of strain 20, isolated from a chicken carcass originated from indoor broiler farming and identified using matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry followed by sequencing of the 16S rRNA gene.

Gene regulatory network inference and analysis of multidrug-resistant Pseudomonas aeruginosa.

Background: Healthcare-associated infections caused by bacteria such as Pseudomonas aeruginosa are a major public health problem worldwide. Gene regulatory networks (GRN) computationally represent interactions among regulatory genes and their targets. They are an important approach to help understand bacterial behaviour and to provide novel ways of overcoming scientific challenges, including the identification of potential therapeutic targets and the development of new drugs.

CTX-M-15-producing uropathogenic Escherichia coli isolates at Rio de Janeiro, Brazil: Molecular epidemiology and MALDI-TOF MS.

Because of the high prevalence of CTX-M-15-producing Escherichia coli isolates causing urinary tract infections in Rio de Janeiro, we have investigated bla-CTX-M-15 gene presence, as well as CTX-M-15 production, in 32 E. coli isolates recovered from the urine of outpatients assisted at a public hospital located in the west zone of Rio. Molecular epidemiology was assessed by PFGE and phylo-typing methods.