In silico clinical trials: concepts and early adoptions.

Innovations in information and communication technology infuse all branches of science, including life sciences. Nevertheless, healthcare is historically slow in adopting technological innovation, compared with other industrial sectors. In recent years, new approaches in modelling and simulation have started to provide important insights in biomedicine, opening the way for their potential use in the reduction, refinement and partial substitution of both animal and human experimentation. In light of this evidence, the European Parliament and the United States Congress made similar recommendations to their respective regulators to allow wider use of modelling and simulation within the regulatory process. In the context of in silico medicine, the term 'in silico clinical trials' refers to the development of patient-specific models to form virtual cohorts for testing the safety and/or efficacy of new drugs and of new medical devices. Moreover, it could be envisaged that a virtual set of patients could complement a clinical trial (reducing the number of enrolled patients and improving statistical significance), and/or advise clinical decisions. This article will review the current state of in silico clinical trials and outline directions for a full-scale adoption of patient-specific modelling and simulation in the regulatory evaluation of biomedical products. In particular, we will focus on the development of vaccine therapies, which represents, in our opinion, an ideal target for this innovative approach.

Plasma and intracellular pharmacokinetic-pharmacodynamic analysis of mycophenolic acid in de novo kidney transplant patients.

OBJECTIVES: Little is known about the correlation between the inosine-monophosphate dehydrogenase (IMPDH) activity and mycophenolic acid (MPA) concentrations in peripheral-blood-mononuclear cells (PBMCs), where the drug is acting. The aim of this study was to analyze the relationship between plasma or PBMC MPA levels, as pharmacokinetic (PK) markers, and the intracellular IMPDH enzyme activity, as a pharmacodynamic (PD) biomarker, in kidney transplantation. DESIGN AND METHODS: Forty de novo renal transplant patients were enrolled in this prospective study. The sampling was performed on the day before transplantation and at T0, T1.5 and T3.5 following the morning dose, on days 2, 4 and 10 post-transplantation. All subjects were treated with a fixed MMF dose (500 mg twice-a-day). IMPDH activities were determined by HPLC, and MPA plasma or PBMC concentrations were obtained by LC-MSMS. RESULTS: Important inter-patient variability was observed both for the PK and PD biomakers. Pre-dose IMPDH activity, surprisingly, increased during the 10 days post-transplantation. As expected, a significant inverse relationship was found between IMPDH activities and MPA concentrations in both plasma and PBMCs. A significant correlation was found between plasma and PBMC MPA values. Maximum IMPDH inhibition was found mostly at T1.5, before returning to its pre-dose levels at T3.5. IMPDH inhibition at T1.5 better correlated with plasma MPA AUC(0-3.5) (p=0.027) than with PBMC AUC(0-3.5) (p=0.323). Mean MPA plasma concentrations paralleled the enzyme inhibition profiles and decreased strongly at T3.5, whereas the decreasing slope of MPA concentrations in PBMCs appeared slower. CONCLUSIONS: These findings suggest that PBMC MPA concentrations do not provide any better correlation with the IMPDH activity than plasma MPA values, most likely due to the correlation between plasma and PBMC MPA levels and to the important interpatient variability both in MPA levels and enzyme activities.