Researchers have identified that the combination of aztreonam, amikacin and polymyxin B may possess the ability to eradicate a previously immune strain of Escherichia coli, MCR1_NJ.
Browsing: Disease Area > Bacterial
We speak to Rebecca Prevots, from the National Institute of Allergy and Infectious Diseases, who discusses her current research projects, the importance of epidemiology in studying infectious diseases and also the challenges this field currently faces.
Virtual screening (VS) is powerful tool in discovering molecular inhibitors that are most likely to bind to drug targets of interest. Here, the authors introduce a novel VS approach, so-called ‘tailored-pharmacophore’, in order to explore inhibitors that overcome drug resistance.
In this editorial, the authors discusss the host-associated microbiome as the ultimate environmental trigger for epigenetic processes, highlighting the need for more research and interdisciplinary studies.
Researchers have successfully treated a 68-year old diabetic patient with a personalized bacteriophage-based treatment. The patient suffered from necrotizing pancreatitis that had previously been unresponsive to routine antibiotic treatment.
A new mathematical modelling study has estimated the mortality rates of TB in the pediatric population, producing the first ever estimate for infants under 5 years of age.
Inappropriate use and overuse of antibiotics are among the most important factors in resistance development, and effective antibiotic stewardship measures are needed to optimize outcomes.
Researchers have discovered that some oligosaccharides from human breast milk may possess antimicrobial and anti-biofilm properties against Group B Streptococcus (GBS).
Researchers have demonstrated that individual E. coli cells can sense the mechanical environment via voltage-induced calcium fluxes, a mechanism similar to that seen in vertebrate’s sensory neurons.
This study characterizes 23 nonserotypeable Shigella using whole genome sequencing, discovering this approach for Shigella O-antigen analysis has greater discriminative power than other methods using different bioinformatics pipeline for identification of nonserotypeable Shigella.