Xuexiang Han, Mohamad-Gabriel Alameh, Ying Xu, Rohan Palanki, Rakan El-Mayta, Garima Dwivedi, Kelsey L. Swingle, Junchao Xu, Ningqiang Gong, Lulu Xue, Qiangqiang Shi, Il-Chul Yoon, Claude C. Warzecha, James M. Wilson, Drew Weissman, Michael J. Mitchell
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引用次数: 0
Abstract
Ionizable lipids largely determine the biocompatibility of lipid nanoparticles (LNPs) and the efficacy for mRNA delivery. Rational design and combinatorial synthesis have led to the development of potent and biodegradable ionizable lipids, yet methodologies for the stepwise optimization of ionizable lipid structure are lacking. Here we show that iterative chemical derivatization and combinatorial chemistry, and in particular the amine–aldehyde–alkyne coupling reaction, can be leveraged to iteratively accelerate the structural optimization of propargylamine-based ionizable lipids (named A3-lipids) to improve their delivery activity and biodegradability. Through five cycles of such directed chemical evolution, we identified dozens of biodegradable and asymmetric A3-lipids with delivery activity comparable to or better than a benchmark ionizable lipid. We then derived structure−activity relationships for the headgroup, ester linkage and tail. Compared with standard ionizable lipids, the lead A3-lipid improved the hepatic delivery of an mRNA-based genome editor and the intramuscular delivery of an mRNA vaccine against SARS-CoV-2. Structural criteria for ionizable lipids discovered via directed chemical evolution may accelerate the development of LNPs for mRNA delivery. Directed chemical evolution can iteratively accelerate the structural optimization of ionizable lipids to improve their delivery activity and biodegradability for applications in lipid nanoparticle-mediated mRNA delivery.
期刊介绍:
Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.