Nature biotechnologyApr 28, 2026

An AI model for designing lipid nanoparticles improves mRNA delivery to specific tissues

mRNA Technology Weekly Brief ↗PubMed ↗DOI ↗

Updated Jun 28, 2026

Abstract

Essence

An AI-designed lipid nanoparticle improved cartilage-selective mRNA delivery and supported chondrocyte gene editing with cartilage protection in mouse osteoarthritis models.

Evidence

This preclinical platform study used a multiobjective AI model to design ionizable lipids, then showed that K9 LNPs achieved over 90% transfection in mouse joint chondrocytes and 13.5-fold higher knee-to-liver selectivity than SM-102, with chondrocyte-specific Mmp13 editing and sustained cartilage protection in osteoarthritis mice.

Caveat

Because the results come from AI-guided nanoparticle optimization and mouse cartilage models, tissue selectivity, safety, and efficacy in humans remain unproven.

Simplified

Lipid nanoparticle (LNP) delivery of RNA therapeutics is constrained by poor tissue selectivity and off-target toxicity. Most high-throughput screening approaches have focused on single-target efficacy while overlooking off-target uptake. Here we report multiobjective LNP engineering with artificial intelligence (MOLEA), a system that integrates high-dimensional lipid representations, cell-type-resolved transfection data and multitask optimization to design ionizable lipids with both high potency and biological selectivity. MOLEA learns structure-function relationships across diverse cellular contexts to identify lipids that preferentially deliver mRNA to target tissue while minimizing hepatocyte transfection. Applying MOLEA to cartilage, we developed K9 LNPs, which achieve >90% transfection efficiency in mouse joint chondrocytes and a 13.5-fold increase in knee-to-liver selectivity compared to the clinical benchmark SM-102. We demonstrate chondrocyte-specific Mmp13 editing in osteoarthritis mouse models, leading to sustained cartilage protection and suppression of disease-associated immune and matrix remodeling. Our findings demonstrate how artificial-intelligence-guided multiobjective optimization can enable precision RNA delivery with potential applications to other tissues.