ABSTRACT
We report discovery of a new bacterial genus and species of the family Pasteurellaceae by using phylogenetic and metabolic analysis. The bacterium, Emayella augustorita, was isolated from blood cultures of a patient in France diagnosed with an adenocarcinoma of the intestines and who was treated with a biliary prosthesis placement.
Subject(s)
Blood Culture , Pasteurellaceae Infections , Pasteurellaceae , Phylogeny , Sepsis , Humans , Pasteurellaceae/isolation & purification , Pasteurellaceae/genetics , Pasteurellaceae/classification , Pasteurellaceae Infections/microbiology , Pasteurellaceae Infections/diagnosis , Sepsis/microbiology , Sepsis/diagnosis , RNA, Ribosomal, 16S/genetics , Male , Anti-Bacterial Agents/therapeutic use , Anti-Bacterial Agents/pharmacology , Bacteremia/microbiology , Bacteremia/diagnosis , France , AgedABSTRACT
BACKGROUND: The increase in antibiotic resistance is a major public health issue. The development of rapid antimicrobial susceptibility testing (AST) methods is becoming a priority to ensure early and appropriate antibiotic therapy. OBJECTIVES: To evaluate sedimentation field-flow fractionation (SdFFF) as a method for performing AST in less than 3â h. METHODS: SdFFF is based on the detection of early biophysical changes in bacteria, using a chromatographic-type technology. One hundred clinical Escherichia coli strains were studied. A calibrated bacterial suspension was incubated for 2â h at 37°C in the absence (untreated) or presence (treated) of five antibiotics used at EUCAST breakpoint concentrations. Bacterial suspensions were then injected into the SdFFF machine. For each E. coli isolate, retention times and elution profiles of antibiotic-treated bacteria were compared with retention times and elution profiles of untreated bacteria. Algorithms comparing retention times and elution profiles were used to determine if the strain was susceptible or resistant. Performance evaluation was done according to CLSI and the ISO standard 20776-2:2021 with broth microdilution used as the reference method. RESULTS: AST results from SdFFF were obtained in less than 3â h. SdFFF showed high categorical agreement (99.8%), sensitivity (99.5%) and specificity (100.0%) with broth microdilution. Results for each antimicrobial were also in agreement with the ISO 20776-2 recommendations, with sensitivity and specificity of ≥95.0%. CONCLUSIONS: This study showed that SdFFF can be used as a rapid, accurate and reliable phenotypic AST method with a turnaround time of less than 3â h.
Subject(s)
Anti-Bacterial Agents , Escherichia coli , Fractionation, Field Flow , Microbial Sensitivity Tests , Microbial Sensitivity Tests/methods , Microbial Sensitivity Tests/standards , Pilot Projects , Escherichia coli/drug effects , Anti-Bacterial Agents/pharmacology , Humans , Fractionation, Field Flow/methods , Escherichia coli Infections/microbiology , Time FactorsABSTRACT
The emergence and selection of antibiotic resistance is a major public health problem worldwide. The presence of antibiotic-resistant bacteria (ARBs) in natural and anthropogenic environments threatens the sustainability of efforts to reduce resistance in human and animal populations. Here, we use mathematical modeling of the selective effect of antibiotics and contaminants on the dynamics of bacterial resistance in water to analyze longitudinal spatio-temporal data collected in hospital and urban wastewater between 2012 and 2015. Samples were collected monthly during the study period at four different sites in Haute-Savoie, France: hospital and urban wastewater, before and after water treatment plants. Three different categories of exposure variables were collected simultaneously: 1) heavy metals, 2) antibiotics and 3) surfactants for a total of 13 drugs/molecules; in parallel to the normalized abundance of 88 individual genes and mobile genetic elements, mostly conferring resistance to antibiotics. A simple hypothesis-driven model describing weekly antibiotic resistance gene (ARG) dynamics was proposed to fit the available data, assuming that normalized gene abundance is proportional to antibiotic resistant bacteria (ARB) populations in water. The detected compounds were found to influence the dynamics of 17 genes found at multiple sites. While mercury and vancomycin were associated with increased ARG and affected the dynamics of 10 and 12 identified genes respectively, surfactants antagonistically affected the dynamics of three genes. The models proposed here make it possible to analyze the relationship between the persistence of resistance genes in the aquatic environment and specific compounds associated with human activities from longitudinal data. Our analysis of French data over 2012-2015 identified mercury and vancomycin as co-selectors for some ARGs.
Subject(s)
Exposome , Mercury , Humans , Wastewater , Angiotensin Receptor Antagonists , Genes, Bacterial , Vancomycin , Angiotensin-Converting Enzyme Inhibitors , Drug Resistance, Microbial/genetics , Bacteria/genetics , Anti-Bacterial Agents/pharmacology , Hospitals , Surface-Active AgentsABSTRACT
Septic patients with worst clinical prognosis have increased circulating immature granulocytes (IG), displaying limited phagocytosis and reactive oxygen species (ROS) production. Here, we developed an ex vivo model of incubation of human granulocytes, from septic patients or healthy donors, with Escherichia coli. We showed that the ROS production in Sepsis-IG is lower due to decreased activation and protein expression of the NADPH oxidase complex. We also demonstrated that the low level of ROS production and lower phagocytosis of IG in sepsis induce the bacterial SOS response, leading to the expression of the SOS-regulated quinolone resistance gene qnrB2. Without antimicrobial pressure, the sepsis immune response alone may promote antibiotic resistance expression.