COMPARE aims to harness the rapid advances in molecular technology to improve identification and mitigation of emerging infectious diseases and foodborne outbreaks. To this purpose COMPARE will establish a “One serves all” analytical framework and data exchange platform that will allow real time analysis and interpretation of sequence-based pathogen data in combination with associated data (e.g. clinical, epidemiological data) in an integrated inter-sectorial, interdisciplinary, international, “one health” approach. The framework will link research, clinical and public health organisations active in human health, animal health, and food safety in Europe and beyond, to develop (i) integrated risk assessment and risk based collection of samples and data, (ii) harmonised workflows for generating comparable sequence and associated data, (iii) state-of-the-art analytical workflows and tools for generating actionable information for support of patient diagnosis, treatment, outbreak detection and -investigation and (iv) risk communication tools. The analytical workflows will be linked to a flexible, scalable and open-source data- and information platform supporting rapid sharing, interrogation and analysis of sequence-based pathogen data in combination with other associated data. The system will be linked to existing and future complementary systems, networks and databases such as those used by ECDC, NCBI and EFSA. The functionalities of the system will be tested and fine tuned through underpinning research studies on priority pathogens covering healthcare-associated infections, food-borne disease, and (zoonotic) (re-) emerging diseases with epidemic or pandemic potential. Throughout the project, extensive consultations with future users, studies into the barriers to open data sharing, dissemination and training activities and studies on the cost-effectiveness of the system will support future sustainable user uptake.

The overall aim is to further the understanding of the BBB in health and disease states towards the development of innovative brain delivery systems, especially for biopharmaceuticals (e.g., peptides, antibodies, etc.) and the identification of novel disease drug targets (Alzheimer’s Disease, MS, metabolic disease). The related key deliverables will be as follows: 1.Identification and validation of specific genes and/or mechanisms which are altered in brain endothelial cells in disease. 2. Generation, validation and characterisation of robust and predictive iPSC-derived BBB models: The developed models should be more reflective of the in vivo situation than existing models, in the healthy and disease states. 3. New, efficacious and safe mechanisms and technologies of brain delivery: The output of this topic should also result in an expanded and deepened understanding of the fundamental processes that underpin drug-trafficking across the BBB, which in turn can further support endeavours to elucidate novel and more efficacious brain delivery mechanisms. 4. Characterised new genetic models for the diseases of interest in this topic which are better amenable to evaluate disease-modifying agents. 5. Characterised mechanisms of neurotropic virus-mediated BBB and CNS penetration for development of selective brain delivery systems. 6. Established in silico/mathematical models in predicting BBB penetration of therapeutics (such as receptor-or carrier-mediated transcytosis for delivery across the BBB) and pharmacokinetics of biopharmaceutics in different compartments of CNS. 7. Identification of relevant translational readouts which are better amenable to elucidate the role of the BBB in the pathogenesis of neurodegeneration and could eventually lead to new targets for the treatment of the neurovascular causes of the diseases.