Accelerating Ionizable Lipid Discovery for mRNA Delivery Using Machine Learning and Combinatorial Chemistry

Accelerating the Discovery of Ionizable Lipids for mRNA Delivery using Machine Learning and Combinatorial Chemistry Research Background To fully realize the potential of mRNA therapies, it is essential to expand the toolkit of lipid nanoparticles (LNPs). However, a key bottleneck in LNP development is identifying new ionizable lipids. Previous stud...

mRNA-LNP Prime Boost Evolves Precursors Toward VRC01-Like Broadly Neutralizing Antibodies in Preclinical Humanized Mouse Models

Inducing and Optimizing VRC01-like Broadly Neutralizing Antibodies in Mouse Models with mRNA-LNP Background Introduction In recent years, the importance of acquiring broadly neutralizing antibodies (bnAbs) has been increasingly recognized in vaccine development, particularly in the field of HIV (Human Immunodeficiency Virus) vaccine research. The H...

Accelerating Diabetic Wound Healing by ROS-Scavenging Lipid Nanoparticle–mRNA Formulation

Accelerating Diabetic Wound Healing by ROS-Scavenging Lipid Nanoparticle–mRNA Formulation

Utilization of Lipid Nanoparticles-mRNA Formulations to Eliminate ROS and Accelerate Diabetic Wound Healing Diabetic wounds are common complications in patients with hyperglycemia, characterized by high incidence and recurrence rates, causing substantial global economic losses. Existing treatments, including wound offloading and growth factor thera...