ArticleNature biomedical engineering2026
Microfluidics-mediated spatial control of mRNA lipid nanoparticles primes translation and enhances vaccine potency.
Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
Funding
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Abstract
Despite the success of mRNA lipid nanoparticle therapeutics, bottlenecks persist in limited cellular expression and uncontrolled encapsulation and release kinetics. Here we introduce a microfluidics-based method, MIMAC (microfluidic integrated mRNA amplification circuit), that restructures preformed lipid nanoparticles by inserting a metabolic enhancing RNA to an internal peripheral compartment while relocating the therapeutic RNA towards the core. Rapid shear-mediated reorganization generates a defined peripheral-to-core RNA arrangement that enables sequential cytosolic availability: early release of the metabolic RNA elevates ATP levels up to 4.2-fold and enhances following translation of the therapeutic RNA. The approach is compatible with multiple nucleic acid types-including linear, circular and self-amplifying RNA and plasmid DNA-and with varied lipid formulations. In mice, the structured lipid nanoparticles improve a human papillomavirus cancer vaccine, suppressing tumour growth by 89.2% and increasing survival. Applied to SARS-CoV-2 vaccines, our method boosts antibody titres by 62.3- to 174.8-fold while maintaining potency at one-tenth the dose. A benchtop device produces 200 doses per hour, supporting scalable use.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.