Predictive modelling of a novel anti-adhesion therapy to combat bacterial colonisation of burn wounds.

As the development of new classes of antibiotics slows, bacterial resistance to existing antibiotics is becoming an increasing problem. A potential solution is to develop treatment strategies with an alternative mode of action. We consider one such strategy: anti-adhesion therapy.

Mathematical modelling of the antibiotic-induced morphological transition of Pseudomonas aeruginosa.

Here we formulate a mechanistic mathematical model to describe the growth dynamics of P. aeruginosa in the presence of the β-lactam antibiotic meropenem. The model is mechanistic in the sense that carrying capacity is taken into account through the dynamics of nutrient availability rather than via logistic growth.

Targeting bacterial adherence inhibits multidrug-resistant Pseudomonas aeruginosa infection following burn injury.

Classical antimicrobial drugs target proliferation and therefore place microbes under extreme selective pressure to evolve resistance. Alternative drugs that target bacterial virulence without impacting survival directly offer an attractive solution to this problem, but to date few such molecules have been discovered. We previously discovered a widespread group of bacterial adhesins, termed Multivalent Adhesion Molecules (MAMs) that are essential for initial binding of bacteria to host tissues and virulence.

Determining the space needed to operate a mobile and an overhead patient hoist.

Inadequate bed space affects manual handling techniques and the ability to carry out nursing care tasks. Many nurses will join a trust on the basis of the workspace design of the wards. This paper looks at the space required to operate two types of hoist and argues for the recommended bed space dimensions to be increased.