Innovative therapeutics based on ribonucleic acid (RNA) have become known to a broad public in the course of vaccine development. However, RNA-based vaccines are only one example of their application. In many organ diseases (for example, lung, heart, liver), altered gene expression signatures are known to influence disease progression. This is where RNA therapy comes in to provide leverage on pathophysiological processes.
Targeted RNA-based therapies
Understanding gene expression signatures altered in disease is key to developing a targeted RNA-based therapeutic strategy. In particular, the field of medical informatics and bioinformatics is an important component for the identification of key switch molecules and builds a bridge between patient data and application-oriented research.
The dovetailing of large clinical datasets, molecular biology data, and functional training of organ dysfunction has been demonstrated in many ways. Molecular RNA structures thus provide a prerequisite for the development of novel targeted RNA therapeutics.
Development of an RNA-based drug
The RNA Therapeutics platform will map a potential pathway that an RNA-based drug will follow from discovery to clinical use. Bioinformatic models will be used to select disease-associated RNAs that can be modulated via various RNA technologies. The RNA therapeutics will be transferred into protective encapsulation technologies (nanoparticles), qualitatively verified, and transferred into appropriate preclinical model systems to investigate therapeutic safety and efficacy. Advanced RNA-based analytical methods to determine pharmacokinetic pathways complete the portfolio.
The processed proof-of-concept for RNA-based therapy development can be transferred to many other disease indications. In particular, the development of an appropriate encapsulation technology can be supportive here.
Synergistic effects will be achieved via the harmony of bioinformatics, in vitro/ex vivo models and the specific requirements of the encapsulation technologies. The platform therefore has a strong interdisciplinary character with dynamic control for future application models.