NIH Reporter #1R15HL188996-01

Profiling LNP and Blood Elements Interactions

This NIH-funded project at the University of New Haven focuses on developing predictive models for interactions between lipid nanoparticles and blood elements to enhance the safety and efficacy of nanoparticle-based therapeutics, supporting advancements in drug delivery for various diseases.

Description

The proposed research aims to improve the safety and efficacy of nanoparticle-based therapeutics by understanding how lipid nanoparticle (LNP) formulation properties influence interactions with blood cells and proteins. The project will generate predictive models for nanoparticle-blood interactions, advancing drug delivery for cardiovascular, oncologic, and inflammatory diseases. It will involve formulation and characterization of diverse lipid-based nanoparticles, quantification of their interactions with blood in a custom flow loop, and development of a machine learning model to predict blood binding profiles.

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