Periodic Reporting for period 2 - STriTuVaD (In Silico Trial for Tuberculosis Vaccine Development)
Reporting period: 2019-08-01 to 2021-01-31
In the STriTuVaD multidisciplinary consortium we will test, through phase IIb clinical trials, one of the most advanced therapeutic vaccines against DS-TB and MDR-TB i.e. RUTI vaccine, provided by Archivel Farma S.L (Spain).
In parallel we will extend the Universal Immune System Simulator to include all relevant determinants of such clinical trial, establish its predictive accuracy against the individual patients recruited in the trial, use it to generate virtual patients and predict their response to the HRT being tested, and combine them to the observations made on physical patients using a new in silico-augmented clinical trial approach that uses a Bayesian adaptive design. This approach, where found effective could drastically reduce the cost of innovation in this critical sector of public healthcare.
To achieve such important goal, we intend to reach the following objectives:
• Assessment of the computational modelling framework to simulate the human immune system complex dynamics at large scale;
• Development and integration into the general modelling framework of the module featuring the simulation of the TB – immune system interaction;
• Development and integration into the general modelling framework of the module featuring the simulation of the effects of antibiotics therapy in TB patients;
• Development and integration into the general modelling framework of the module featuring the simulation of the immunity induced by the TB vaccines;
• Set-up the library of virtual patients using data of real patients enrolled for the clinical trial and run an empowered in silico-augmented adaptive Bayesian clinical trial.
• In silico trial framework release by means of the validation of the real phase IIb clinical trial.
The STriTuVaD consortium has achieved the assessment of pre-existing modelling framework (UISS – Universal Immune System Simulator) to reproduce the human immune system dynamics at a large scale. Then, UISS modelling framework has been extended to simulate TB – immune system interactions. This allowed the simulations of artificial immunity induced by vaccinations and treatments for tuberculosis. As an initial step, it has been developed a detailed description of the UISS-TB model, including its mathematical formulation, which will be essential to formalise the credibility of such model. Finally the creation of libraries of virtual subjects and libraries of virtual vaccinated patients was the final step to reach a milestone i.e. the delivery of the computational modelling framework of personalized TB-treatments-host immune system interactions and dynamics.
Moreover, the consortium has developed a coherent, hierarchical Bayesian model which integrates the in vivo and in silico sources of information in order to implement computational tools for exploring the UISS model components to allow for uncertainty propagation. The Bayesian model provides a principled way of controlling the amount of information allowed into the augmented clinical trial, effectively enabling an in silico augmented clinical trial. Hierarchical generalised linear (hGLM) models for the main endpoint from either the in silico or in vivo data proposed for sharing information, includes a component measuring the compatibility of in silico with in vivo patients, which comprises both technical and biological variability.
Archivel Farma has completed the manufacturing and testing of the clinical batch of RUTI vaccine. We are ready to start the clinical trial: Regulatory and Ethical committees approvals are achieved.
In the context of Covid-19, the UISS computational model has been extended to reproduce the dynamics of SARS-CoV-2 infection. We have tested the computational model to predict the results of the trained immunity after the vaccination of already marketed vaccines, such as: Polio, Measles, Mumps Rubella, Diphtheria, Tetanus, Pertussis vaccines. The preliminary results have shown that DTP hold the premise to potentially protect by SARS-CoV-2 under particular conditions.
In particular, STriTuVaD project strongly impacts society and well-being providing:
- A reduction on the size and the duration of the human TB clinical trials. STriTuVaD computational framework offers an effective way to estimate time to inactivation of M.tb with a standard phase II clinical trial. UISS-TB can be used as a conclusive evidence and as a partial replacement of the phase III clinical trial, including a mean to increase the confidence in investing in a phase III trial to demonstrate the efficacy in term of reduced recurrence.
- A more effective human clinical trials design, through the adjustment of the dosage and the timing of the treatments to maximize the chances of success.
- Lower development costs and/or shorter time-to-market for new tuberculosis treatments. The simulation platform significantly lowers the costs associated with the execution of clinical trial. This has an incredible economic social impact for the low-income high tuberculosis burden countries.
- Pushing the regulatory evaluation for in silico trials through benchmarking approaches to validation/qualification of modeling and simulation frameworks.