Leon Aarons is an Australian chemist who researches and teaches in the areas of pharmacodynamics and pharmacokinetics. He lives in the United Kingdom and from 1976 has been a professor of pharmacometrics at the University of Manchester. In the interest of promoting the effective development of drugs, the main focus of his work is optimizing pharmacological models, the design of clinical studies, and data analysis and interpretation in the field of population pharmacokinetics. From 1985 to 2010 Aarons was an editor emeritus of the Journal of Pharmacokinetics and Pharmacodynamics and is a former executive editor of the British Journal of Clinical Pharmacology.
Contribution to pharmacology
Data modelling
Much of Aarons' work focuses on building an understanding of how the effects of drugs or toxic agents are managed in humans. In 2009 he co-authored a paper that aimed to explore an approach to the modelling of effects on people by drugs and toxic agents "based on the underlying physiology and pathology of the biological processes,...[ and to review]...the current status of pharmacodynamic and pharmacokinetic modelling, and outline a conceptual framework that may be helpful in advancing the field." A model was proposed that included the kinetics of the substance as a part of the process. To some extent, this was a challenge to the widely accepted dose/effect concept in pharmacology and toxicology at the time which assumed that the exposure/dose of a drug or a toxin is related to the effects on the patient, beneficial or toxic. The paper explained the purposes of data modelling as being to describe complex data, test hypotheses and make predictions, and noted when a drug interacts with a patient, there is a "chain of events at the molecular level, cellular level, organ/physiological system level, and whole-body level...[and ]... in principle, modelling may be performed at each of these levels." The effect on a patient could be therapeutic or possibly result in adverse outcomes. The authors concluded that including the systems biology model they discussed in the paper into conventional PKPD modelling would require further collaboration to make it robust but able to be clearly defined.
Design of scientific investigations
Aarons has defined pharmacokinetics (PK) as the study of the complex chain of events that links a dose of drugs administered to a patient and the expected effect or response. PK is based on analysing the concentration of drugs and tracking how they are absorbed, distributed, metabolised and excreted within the patient. Some of his work has involved using optimal design theory to explore what makes a successful scientific investigation for pharmacokinetic studies and has said that this "involves the selection and a careful balance of a number of design factors, including the number and location of measurement times and the number of subjects to include in the study." According to Aarons, population pharmacokinetics studies which focus on what happens to the substances administered to a patient would need specific design factors that apply "statistical experimental design principles to non-linear population pharmacokinetic models." A later paper co-authored by Aarons, reviews the different approaches to optimal design of population pharmacokinetic and pharmacodynamic experiments and notes that some of the options may raise concerns at to their practicality. The paper did, however, conclude "that as the awareness about the benefits of this approach increases, more people will embrace it and ultimately will lead to more efficient population pharmacokinetic and pharmacodynamic experiments."