Engineering LipidNanoparticles through IntegratedCompositional and Ligand Targeting Enhances β Cell-DirectedRNA Delivery
Abstract Beyond their deployment as COVID-19 vaccines, lipid nanoparticles (LNPs) have emerged as versatile vehicles for therapeutic nucleic acid delivery. However, achieving efficient and cell-targeted transfection in extrahepatic tissues, particularly pancreatic β cells, remains a major challenge. Here, we develop a dual-targeting LNP engineering strategy that integrates high-throughput compositional screening with surface conjugation of β cell-specific targeting ligands to enable selective gene delivery to pancreatic β cells. Compositional optimization identified LNP formulations that achieved over a 148-fold increase in β cell transfection efficiency in vitro and more than an 8-fold increase in pancreatic selectivity in vivo compared to the Moderna LNP formulation. Surface conjugation of the ZnT8-specific monoclonal antibody (mAb43), which recognizes the zinc transporter ZnT8 highly expressed on murine β cells, further increased pancreatic transgene expression by more than 2-fold and achieved over 70% β cell transfection in murine models. To improve translational potential, we conjugated a high-affinity camelid single-domain antibody (4hD29 nanobody) targeting dipeptidyl peptidase-6 (DPP6), a biomarker enriched on human β cells, to compositionally optimized LNPs to deliver human STAT2-siRNA. These dual-targeting LNPs reduced STAT2 expression in human β cells under IFN-α stimulation to below baseline levels observed in unstimulated controls and induced > 4-fold increase in PDL1 expression. Together, this integrated LNP design for β cell-directed gene delivery establishes a versatile platform for RNA therapeutics and gene-editing applications in a pro-inflammatory type 1 diabetes context.
Authors
- Christine Wei
- Wu Han Toh (ORCID: https://orcid.org/0000-0001-7772-2528)
- Eugenia Martín-Vázquez
- Stephany Y. Tzeng (ORCID: https://orcid.org/0000-0002-7561-482X)
- Yining Zhu (ORCID: https://orcid.org/0000-0002-7178-0097)
- Hai‐Quan Mao (ORCID: https://orcid.org/0000-0002-4262-9988)
- Autumn H. Greco (ORCID: https://orcid.org/0000-0002-7557-6800)
- Nizar I. Mourad (ORCID: https://orcid.org/0000-0003-2472-2780)
- Yunhe Su
- Devi Kasinathan (ORCID: https://orcid.org/0000-0001-7653-0380)
- Victor M. Quiroz (ORCID: https://orcid.org/0000-0003-0819-368X)
- Leonardo Cheng (ORCID: https://orcid.org/0000-0002-9214-8533)
- Zhongtian Shen (ORCID: https://orcid.org/0000-0002-9619-6233)
- Joshua C. Doloff (ORCID: https://orcid.org/0000-0002-4323-3264)
- Jingyao Ma (ORCID: https://orcid.org/0009-0003-8848-7502)
- Jinghan Lin (ORCID: https://orcid.org/0000-0002-3906-8956)
- Zheng Guo (ORCID: https://orcid.org/0000-0003-4680-6360)
- Decio L. Eizirik (ORCID: https://orcid.org/0000-0003-2453-5889)
- Gene Weng
- Antoine Buemi
- Arturo Roca-Rivada
- Jiayuan Kong
- Di Yu (ORCID: https://orcid.org/0009-0003-5000-2100)
- Xiaoya Lu
- Kailei D. Goodier
- Xiang Liu
Institutions
- Université Libre de Bruxelles (BE)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Johns Hopkins University Applied Physics Laboratory (US)
- UCLouvain (BE)
Publication Details
- Journal
- ACS Nano
- Published
- 2026-08-13
- DOI
- https://doi.org/10.1021/acsnano.6c06440
- Primary Topic
- RNA Interference and Gene Delivery
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Breakthrough T1D