Aug 2026· Biomaterials Science· 0 citations· 33 references
Medicine
TL;DR
Tuning polycation chain length with core π-π interactions is key to unlocking highly efficient mRNA delivery in micelles, and achieves 2-fold higher protein expression in vivo compared to shorter or longer chain variants.
Abstract
Messenger RNA (mRNA)-based therapeutics hold great promise by enabling in situ expression of therapeutic proteins. The success of these therapies in vivo critically depends on the design of safe and efficient delivery systems. Polymeric micelles formed by block catiomers can encapsulate mRNA, protect it from degradation, and facilitate intracellular delivery. Polycation chain length has been proposed as a design parameter of micelles, yet how it governs stabilizing interactions to define mRNA delivery performance remains unestablished. Here, we systematically investigate this relationship using a series of poly(ethylene glycol)-poly(glycidyl-phenylalanate) (PEG-PG(Phe)) block copolymers with varying PG(Phe) chain lengths. These polymers interact with mRNA via polyion complexation and π-π stacking. Our findings revealed that the block catiomers having PG(Phe) segments with 90 units formed micelles with superior stability and enhanced endosomal escape, while micelles with shorter segments were rapidly dissociated and micelles with longer blocks showed impaired PEG shielding. Moreover, the polymer with a PG(Phe) block of 90 units achieved 2-fold higher protein expression in vivo compared to shorter or longer chain variants. These findings reveal that tuning polycation chain length with core π-π interactions is key to unlocking highly efficient mRNA delivery.
Comparing two cationic reverse-hexagonal LCNs formulated from monoolein, oleic acid, poly(allylamine hydrochloride) and either poloxamer 407 (P407) or poloxamer 188 (P188) reveals a direct relationship between LCN composition, membrane affinity, and functional performance, providing mechanistic insight for the rational...
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This Perspective revisits cationic polymer-lipid nanoparticles not as historical precursors to ionizable lipid LNPs, but as a macromolecular materials space that can clarify and extend current RNA delivery design.
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