High-Throughput In Vivo Screening Identifies Structural Factors Driving mRNA Lipid Nanoparticle Delivery to the Brain
Abstract
Achieving systemic nonviral delivery of large nucleic acids such as mRNA to the brain is challenging due to high off-target delivery and the blood-brain barrier (BBB), a cellular barrier which prevents most nucleic acids in circulation from entering the brain. Ionizable lipid nanoparticles (LNPs) are a promising class of nanocarriers to facilitate the delivery of mRNA, as their highly modular nature enables fine-tuning of the LNP formulation for targeted delivery applications. In this work, we explore the role of ionizable lipid chemical structure and lipid molar ratios within the LNP formulation on mRNA delivery to and transfection of the brain. We utilize a high-throughput in vivo screening approach based on mRNA barcoding to study a large library of LNPs made with systematically varied ionizable lipid structures, amounts of ionizable lipid, and amounts of lipid-polyethylene glycol (PEG). We find that ionizable lipids with longer tail structures and linear amine cores can facilitate mRNA delivery to the mouse brain, and ultimately identify a specific ionizable lipid, C14-306, that facilitates brain transfection coupled with reduced liver transfection compared to an FDA-approved benchmark formulation. Furthermore, the lead LNP formulated with C14-306 is able to increase neuronal transfection and facilitate Cre-mediated recombination in the brain. Finally, safety analyses demonstrate that the lead LNP does not induce BBB leakage, increases in serum inflammatory cytokine levels, or increases in serum liver enzyme levels. Overall, our work highlights the utility of molecular barcoding for high-throughput screening of LNPs for delivery to the brain and suggests several design principles to guide the engineering of next-generation brain-tropic LNPs.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Lipid nanoparticles for mRNA delivery
Hou, X., Zaks, T., Langer, R., & Dong, Y. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00358-0 · Cited by 4,076 · see citing works
The blood-brain barrier: Bottleneck in brain drug development
Pardridge, W. M. (2005) · NeuroRX · doi:10.1602/neurorx.2.1.3 · Cited by 2,798 · see citing works
Cheng, Q., Wei, T., Farbiak, L., Johnson, L. T., Dilliard, S. A., & Siegwart, D. J. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0669-6 · Cited by 2,383 · see citing works
Drug delivery systems for RNA therapeutics
Paunovska, K., Loughrey, D., & Dahlman, J. E. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-021-00439-4 · Cited by 1,349 · see citing works
Targeted delivery of RNAi therapeutics with endogenous and exogenous ligand-based mechanisms
Akinc, A., Querbes, W., De, S., Qin, J., Frank-Kamenetsky, M., Jayaprakash, K. N., Jayaraman, M., Rajeev, K. G., Cantley, W. L., Dorkin, J. R., et al. (2010) · Molecular Therapy · doi:10.1038/mt.2010.85 · Cited by 1,261 · see citing works
Lipid-like materials for low-dose, in vivo gene silencing
Love, K. T., Mahon, K. P., Levins, C. G., Whitehead, K. A., Querbes, W., Dorkin, J. R., Qin, J., Cantley, W., Qin, L. L., Racie, T., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910603106 · Cited by 969 · see citing works
The blood–brain barrier in systemic infection and inflammation
Galea, I. (2021) · Cellular and Molecular Immunology · doi:10.1038/s41423-021-00757-x · Cited by 764 · see citing works
Ionizable Lipid Nanoparticle-Mediated mRNA Delivery for Human CAR T Cell Engineering
Billingsley, M. M., Singh, N., Ravikumar, P., Zhang, R., June, C. H., & Mitchell, M. J. (2020) · Nano Letters · doi:10.1021/acs.nanolett.9b04246 · Cited by 636 · see citing works
Self-citationQiu, M., Glass, Z., Chen, J., Haas, M., Jin, X., Zhao, X., Rui, X., Ye, Z., Li, Y., Zhang, F., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2020401118 · Cited by 419 · see citing works
Multiorgan-on-a-Chip: A Systemic Approach To Model and Decipher Inter-Organ Communication
Picollet-D’hahan, N., Żuchowska, A., Lemeunier, I., & Gac, S. L. (2021) · Trends in biotechnology · doi:10.1016/j.tibtech.2020.11.014 · Cited by 384 · see citing works
Barcoded nanoparticles for high throughput in vivo discovery of targeted therapeutics
Dahlman, J. E., Kauffman, K. J., Xing, Y., Shaw, T. E., Mir, F. F., Dlott, C. C., Langer, R., Anderson, D. G., & Wang, E. T. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620874114 · Cited by 335 · see citing works
The Effect of Nanoparticle Size on the Ability to Cross the Blood–Brain Barrier: An In Vivo Study
Betzer, O., Shilo, M., Opochinsky, R., Barnoy, E. A., Motiei, M., Okun, E., Yadid, G., & Popovtzer, R. (2017) · Nanomedicine · doi:10.2217/nnm-2017-0022 · Cited by 302 · see citing works
Human cerebral organoids — a new tool for clinical neurology research
Eichmüller, O. L., & Knoblich, J. A. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00723-9 · Cited by 260 · see citing works
Shilo, M., Sharon-Buller, A., Baranes, K., Motiei, M., Lellouche, J., & Popovtzer, R. (2015) · Journal of Nanobiotechnology · doi:10.1186/s12951-015-0075-7 · Cited by 236 · see citing works
Jeong, M., Lee, Y., Park, J., Jung, H., & Lee, H. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.114990 · Cited by 227 · see citing works
Ma, F., Yang, L., Sun, Z., Chen, J., Rui, X., Glass, Z., & Xu, Q. (2020) · Science Advances · doi:10.1126/sciadv.abb4429 · Cited by 218 · see citing works
Ohta, S., Kikuchi, E., Ishijima, A., Azuma, T., Sakuma, I., & Ito, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-75253-9 · Cited by 211 · see citing works
Size, shape, and flexibility influence nanoparticle transport across brain endothelium under flow
Nowak, M., Brown, T. D., Graham, A., Helgeson, M. E., & Mitragotri, S. (2019) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10153 · Cited by 210 · see citing works
Zhang, W., Liu, Q. Y., Haqqani, A. S., Leclerc, S., Liu, Z., Fauteux, F., Baumann, E., Delaney, C. E., Ly, D., Star, A. T., et al. (2020) · Fluids and Barriers of the CNS · doi:10.1186/s12987-020-00209-0 · Cited by 203 · see citing works
Piperazine-derived lipid nanoparticles deliver mRNA to immune cells in vivo
Ni, H., Hatit, M. Z. C., Zhao, K., Loughrey, D., Lokugamage, M. P., Peck, H. E., Cid, A. D., Muralidharan, A., Kim, Y., Santangelo, P. J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32281-5 · Cited by 192 · see citing works
Marcos-Contreras, O. A., Greineder, C. F., Kiseleva, R. Y., Parhiz, H., Walsh, L. R., Zuluaga‐Ramirez, V., Myerson, J. W., Hood, E. D., Villa, C. H., Tombácz, I., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912012117 · Cited by 187 · see citing works
Lipid nanoparticle-mediated drug delivery to the brain
Khare, P., Edgecomb, S. X., Hamadani, C. M., Tanner, E. E. L., & S Manickam, D. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.114861 · Cited by 187 · see citing works
Brown, T. D., Habibi, N., Wu, D., Lahann, J., & Mitragotri, S. (2020) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.0c00743 · Cited by 182 · see citing works
Blood–brain-barrier-crossing lipid nanoparticles for mRNA delivery to the central nervous system
Wang, C., Xue, Y., Markovic, T., Li, H., Wang, S., Zhong, Y., Du, S., Zhang, Y., Hou, X., Yu, Y., et al. (2025) · Nature Materials · doi:10.1038/s41563-024-02114-5 · Cited by 171 · see citing works
Precision drug delivery to the central nervous system using engineered nanoparticles
Gao, J., Xia, Z. J., Gunasekar, S., Jiang, C., Karp, J. M., & Joshi, N. (2024) · Nature Reviews Materials · doi:10.1038/s41578-024-00695-w · Cited by 162 · see citing works
Peptide-Functionalized Lipid Nanoparticles for Targeted Systemic mRNA Delivery to the Brain
Han, E. L., Tang, S., Kim, D., Murray, A. M., Swingle, K. L., Hamilton, A. G., Mrksich, K., Padilla, M. S., Palanki, R., Li, J. J., et al. (2025) · Nano Letters · doi:10.1021/acs.nanolett.4c05186 · Cited by 158 · see citing works
Self-citationMrksich, K., Padilla, M. S., & Mitchell, M. J. (2024) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2024.115446 · Cited by 155 · see citing works
Self-citationIonizable Lipid Nanoparticles for <i>In Vivo</i> mRNA Delivery to the Placenta during Pregnancy
Swingle, K. L., Safford, H. C., Geisler, H. C., Hamilton, A. G., Thatte, A. S., Billingsley, M. M., Joseph, R. A., Mrksich, K., Padilla, M. S., Ghalsasi, A. A., et al. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.2c12893 · Cited by 145 · see citing works
Self-citationXue, L., Hamilton, A. G., Zhao, G., Xiao, Z., El-Mayta, R. D., Han, X., Gong, N., Xiong, X., Xu, J., Figueroa‐Espada, C. G., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45422-9 · Cited by 142 · see citing works
Self-citationPlacenta-tropic VEGF mRNA lipid nanoparticles ameliorate murine pre-eclampsia
Swingle, K. L., Hamilton, A. G., Safford, H. C., Geisler, H. C., Thatte, A. S., Palanki, R., Murray, A. M., Han, E. L., Mukalel, A. J., Han, X., et al. (2025) · Nature · doi:10.1038/s41586-024-08291-2 · Cited by 129 · see citing works
Self-citationLiu, S., Liu, J., Li, H., Mao, K., Wang, H., Meng, X., Wang, J., Wu, C., Chen, H., Wang, X., et al. (2022) · Biomaterials · doi:10.1016/j.biomaterials.2022.121645 · Cited by 122 · see citing works
Nucleic acid drug vectors for diagnosis and treatment of brain diseases
Lü, Z., Shen, J., Yang, H. J., Wang, J., Zhao, R., Zhang, T.-L., Guo, J. R., & Zhang, X. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01298-z · Cited by 108 · see citing works
Waggoner, L. E., Miyasaki, K. F., & Kwon, E. J. (2023) · Biomaterials Science · doi:10.1039/d2bm01846b · Cited by 98 · see citing works
Beyond the Endosomal Bottleneck: Understanding the Efficiency of mRNA/LNP Delivery
Liu, H., Chen, M. Z., Payne, T. J., Porter, C. J. H., Pouton, C. W., & Johnston, A. P. R. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202404510 · Cited by 87 · see citing works
Ionizable Lipid Nanoparticles for Therapeutic Base Editing of Congenital Brain Disease
Palanki, R., Bose, S. K., Dave, A., White, B. M., Berkowitz, C., Luks, V., Yaqoob, F., Han, E., Swingle, K. L., Menon, P., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c02268 · Cited by 77 · see citing works
Self-citationHan, E. L., Padilla, M. S., Palanki, R., Kim, D., Mrksich, K., Li, J. J., Tang, S., Yoon, I.-C., & Mitchell, M. J. (2024) · Nano Letters · doi:10.1021/acs.nanolett.3c03509 · Cited by 72 · see citing works
Self-citationBian, X., Guo, Q., Yau, L., Yang, L., Wang, X., Zhao, S., Wu, S., Qin, X., Jiang, Z., & Li, C. (2025) · Nature Communications · doi:10.1038/s41467-025-57488-0 · Cited by 72 · see citing works
Influence of ionizable lipid tail length on lipid nanoparticle delivery of mRNA of varying length
Mrksich, K., Padilla, M. S., Joseph, R. A., Han, E. L., Kim, D., Palanki, R., Xu, J., & Mitchell, M. J. (2024) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.37705 · Cited by 65 · see citing works
Self-citationSaha, S., Yakati, V., Shankar, G., Jaggarapu, M. M. C. S., Moku, G., Kuncha, M., Banerjee, R., Ramkrishna, S., Srinivas, R., & Chaudhuri, A. (2020) · Journal of Materials Chemistry B · doi:10.1039/c9tb02700a · Cited by 57 · see citing works
Hamilton, A. G., Swingle, K. L., Thatte, A. S., Mukalel, A. J., Safford, H. C., Billingsley, M. M., El-Mayta, R. D., Han, X., Nachod, B. E., Joseph, R. A., et al. (2024) · ACS Nano · doi:10.1021/acsnano.4c01171 · Cited by 55 · see citing works
Self-citationPalanki, R., Riley, J. S., Bose, S. K., Luks, V. L., Dave, A., Kus, N. J., White, B. M., Ricciardi, A. S., Swingle, K. L., Xue, L., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2400783121 · Cited by 50 · see citing works
Self-citationTransfection Potency of Lipid Nanoparticles Containing mRNA Depends on Relative Loading Levels
Liao, S., Wang, S., Wadhwa, A., Birkenshaw, A., Fox, K., Cheng, M. H. Y., Casmil, I. C., Magaña, A. A., Bathula, N. V., Ho, C.-H., et al. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c20077 · Cited by 44 · see citing works
Kim, M., Jeong, M., Lee, G., Lee, Y., Park, J., Jung, H., Im, S., Yang, J., Kim, K., & Lee, H. (2023) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10556 · Cited by 35 · see citing works
Vaidya, A. M., Parande, D., Khadse, N., Vargas‐Montoya, N., Agarwal, V., Ortiz, C., Ellis, G., Kaushal, N., Sarode, A., Karve, S., et al. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c00031 · Cited by 34 · see citing works
RNA therapies for CNS diseases
Francesco, V. D., Chua, A. J. K., Huang, D., D’souza, A. A., Yang, A., Bleier, B. S., & Amiji, M. M. (2024) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2024.115283 · Cited by 24 · see citing works
Zamora, M. E., Omo‐Lamai, S., Patel, M. N., Wu, J., Arguiri, E., Vr, M., Myerson, J. W., Marcos-Contreras, O. A., & Brenner, J. S. (2024) · Nano Letters · doi:10.1021/acs.nanolett.3c05031 · Cited by 21 · see citing works
Lynch, M., Heinen, S., Markham-Coultes, K., O’Reilly, M. A., Slyke, P. V., Dumont, D., Hynynen, K., & Aubert, I. (2020) · International Journal of Medical Sciences · doi:10.7150/ijms.36775 · Cited by 20 · see citing works
Hamilton, A. G., Thatte, A. S., Xu, J., Luo, Z., Safford, H. C., Swingle, K. L., Muscat-Rivera, J., Kegel, M., Han, X., Joseph, R. A., et al. (2026) · Advanced Materials · doi:10.1002/adma.202514370 · Cited by 16 · see citing works
Self-citationNucleic acid delivery by ionizable nanocarriers for brain disease treatment
Xiong, R., Ling, G., Zhang, Y., Guan, J., & Zhang, P. (2023) · Brain‐X · doi:10.1002/brx2.7 · Cited by 13 · see citing works
Piperazine-derived ionizable lipids for enhanced mRNA delivery and cancer immunotherapy
Xu, K. J., Xu, Y., Sun, J., Cheng, X., Lu, C., Chen, W., He, B., & Jiang, T. (2024) · Nano Research · doi:10.1007/s12274-024-6575-8 · Cited by 11 · see citing works
Yoo, S., Han, E. L., Murray, A. M., Kim, D., Bang, E., & Mitchell, M. J. (2025) · Nano Letters · doi:10.1021/acs.nanolett.5c03793 · Cited by 7 · see citing works
Self-citationRutin alleviates lipopolysaccharide-induced neuroinflammation and blood brain barrier dysfunction
Meng, Y., Liu, X., Ding, D., Wang, J., Mao, J., Kang, L., & Cao, L. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149941 · Cited by 5 · see citing works
Hamilton, A. G., Thatte, A. S., Xu, J., et al. (2025) · doi:10.1101/2025.06.09.658602 · Cited by 1
Self-citation
Flagged first, then by citations
Cited by
Still being checked.
- Authors
- Han, E. L., Kim, D., Murray, A. M., Mrksich, K., Hamilton, A. G., Tang, S., Yoo, S., Zhu, A. T., Tong, E. R., Palanki, R., Hall, M. L., Bedingfield, S. K., & Mitchell, M. J.
- Affiliations
- University of Pennsylvania (US)
- Department of Bioengineering
- Eli Lilly (United States) (US)
- Abramson Cancer Center (US)
- Corresponding author
- Mitchell, Michael J.
- ORCID
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2026-01-20
- Volume
- 20
- Issue
- 4
- Pages
- 3807-3820
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W7124948137
- Cited by
- 5
- References
- 53
- Citations by year
- 2026: 5
- FWCI
- 9.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- ACS Nano (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Burroughs Wellcome Fund
- Eli Lilly and Company
- National Science Foundation (1845298)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Keywords
- mRNA lipid nanoparticles, ionizable lipids, brain drug delivery, blood-brain barrier, neuronal transfection, Cre-mediated recombination, non-viral gene delivery
- MeSH terms
- Animals, Blood-Brain Barrier, Brain, Humans, Lipids, Liposomes, Mice, Inbred C57BL, Polyethylene Glycols, RNA, Messenger, Transfection, Mice, Nanoparticles, High-Throughput Screening Assays
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review