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Levkin, P. A.

Publications and source records attributed to Levkin, P. A..

2 recordsLinked to original sources

Rational Design of Unsaturated, Thioether Ionizable Lipids for Enhanced In vivo mRNA Delivery

Therapies based on mRNA technology have offered hope to millions of patients worldwide by disrupting the way we treat diseases. The safe and functional delivery of the delicate mRNA molecules to the target tissue is a crucial step in the development of effective vaccines and therapeutic interventions. Lipid nanoparticles (LNP) are the most clinically advanced delivery vehicles for mRNA drugs. Key to the success of LNP is the inclusion of an ionizable cationic lipid. However, the structure-function relationships between ionizable lipids and efficient in-vivo mRNA delivery are still poorly understood. In this work, we focused on the rational design and sequential structural optimization of previously identified ionizable lipids that performed well in vitro, but not in vivo. Through two distinct iterative optimization cycles -- one targeting the lipid tail and the other the headgroup -- we aimed to understand how the fusogenicity and apparent pKa of the ionizable lipid contribute to LNP delivery performance in vivo. By engineering unsaturated lipids with more hydrophobic, less protonatable amino headgroups with longer alkyl group at the tertiary nitrogen, we achieved both significant improvement of protein expression in vitro, reduced hemolysis risk, and more than 200-fold improvement of in vivo mRNA delivery. When compared head-to-head to a market-approved LNP benchmark, the newly developed ionizable lipids/LNP resulted in equally highly efficient in vivo mRNA delivery, with strong liver and spleen tropism upon intravenous injection, while matching the safety of the approved platform. Our findings are pivotal for the development of next-generation mRNA-LNP therapies and vaccines.

bioengineering↗

Fast Single-Cell MALDI Imaging of Low-Mass Metabolites Reveals Cellular Activation Markers

Single-cell MALDI mass spectrometry imaging (MSI) of lipids and metabolites >200 Da has recently come to the forefront of biomedical research and chemical biology, but fast metabolome-preserving methods without paraformaldehyde fixation for analysis of low mass, hydrophilic metabolites (<200 Da) in large cell populations are lacking. Introducing giant unilamellar vesicles (GUVs) as MSI ground truth for cell-sized objects and Monte Carlo reference-based consensus clustering for data-dependent identification of cell subpopulations. The PRISM-MS (PRescan Imaging for Small Molecule - Mass Spectrometry) dual-scan MSI workflow is presented, enabling space-efficient and therefore faster lipid analysis in single GUVs and cells. Beyond lipids, PRISM-MS enables MSI and on-cell MS2-based identification of low-mass metabolites like amino acids or Krebs cycle intermediates involved in stimulus-dependent cell activation. The utility of PRISM-MS is demonstrated through the characterization of complex metabolome changes in lipopolysaccharide (LPS)-stimulated microglial cells and human-induced pluripotent stem cell-derived microglia. Translation of single cell results to endogenous microglia in organotypic hippocampal slice cultures indicates that LPS-activation involves changes of the itaconate-to-taurine ratio and alterations in neuron-to-glia glutamine-glutamate shuttling. The data suggests that PRISM-MS could serve as a standard method in single cell metabolomics, given its capability to characterize larger cell populations and low-mass metabolites.

bioinformatics↗