A new paper has been published which may provided valuable insight into the modelling of anti-microbial treatments. Published in the International Journal of Antimicrobial Agents, The Ingredients for an Antimicrobial Mathematical Modelling Broth was co-authored by Professor Mike Chappell with collaborators from the University of Reading.

The use of mathematical modelling has made significant contributions to the use of these treatments, providing data on optimal dose and frequency of dosing. However the limitations of pharmacokinetic/pharmacodynamic (PKPD) modelling mean that the approach may not account for time-dependent factors, such as drug concentrations, the course of the disease, or immune system response. The research detailed in this article demonstrates and concludes that quantification of these intrinsic factors can aid in the intepretation of in-vitro to in-vivo pharmacology. This means a more effective translation of testing to live subject could be achieved. This is valuable both for clinical applications of antobiotic medications, but may also be beneficial for those working on the efficacy of vaccines.

Speaking of the outcomes, Prof. Chappell (pictured) said: "Novel mechanistic models such as the one presented can incorporate these factors and offer great opportunities in terms of new avenues of research for our group, in turn supporting the pharmaceutical industry in the development and application of new antimicrobial agents to more effectively combat infections."