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Improving Life expectancy of LUNG transplant recipients through innovative ex vivo perfusion gene therapy

CORDIS · observation · Publication date unknown

of transplant rejection through accessible models. By utilizing biobanks of lung biopsies from both clinical LTx cases and established animal models of IRI and rejection, LifeLUNG will apply advanced machine learning and AI-driven deep sequencing to identify key immune factors and gene targets. The latter will be targeted in LifeLUNG with gene therapeutic agents (GTAs) that can be delivered during EVLP to selectively modulate immune responses. Several delivery tools including adeno-associated viral vectors, virus-like particles and lipid nanoparticles, will be tailored to ensure precise and graft-specific gene modulation, enhancing the therapeutic potential for reducing IRI and preventing rejection. Also the efficient production strategies of these GTAs will be an integral part of LifeLUNG. In parallel, LifeLUNG will explore the economic and ethical paradigms of genetic modification of lung transplantation and reflect its implementation into the broader research and clinical framework. The interdisciplinary nature of LifeLUNG will support the training of 15 doctoral candidates acr

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recordType

award

status

SIGNED

region

EU

value

4230837

unit

EUR