Winning the War against Multi-Drug Resistant Diarrhoeagenic Bacteria

Efficacy of Amikacin and Imipenem Against Multi-Drug Resistant Gram-Negative Bacteria Isolated From Wound Infections

Background and Objective: Gram-negative pathogens are considered the common cause of wound infections associated with increased mortality and morbidity rates. Antibiotics combination has been used to overcome this problem. Aims: In this study, we identify Gram-negative pathogens found in wound infections and assess the in-vitro efficacy of a combination of amikacin and imipenem against the resi...

Photobactericides—A Local Option against Multi-Drug Resistant Bacteria

The use of light-activated bactericidal agents—photobactericides—is suggested in local infection in order to conserve conventional antibacterials for more systemic disease. Local administration of a photobactericide such as methylene blue coupled with locally-targeted red light illumination ensures the production of non-specific reactive oxygen species and thus a rapid and localised antibacteri...

Novel Immunization Strategies Against Multi-drug-resistant Gram-negative Bacteria

Wound infections with multi-drug resistant bacteria.

INTRODUCTION Wound infections remain a public health problem, despite the progress made on improving surgical techniques and antibiotic prophylaxis application. Misuse of antibiotics to prevent bacterial infections leads to increased bacterial resistance and their dissemination. MATERIAL AND METHODS The study refers to 470 samples taken from wound infections of which only multi-drug resistant...

Fed Up! Winning the War Against Childhood Obesity

Background: The maximum likelihood estimator of D' – a standard measure of linkage disequilibrium – is biased toward disequilibrium, and the bias is particularly evident in small samples and rare haplotypes. Results: This paper proposes a Bayesian estimation of D' to address this problem. The reduction of the bias is achieved by using a prior distribution on the pair-wise associations between s...