Evidence map›Paper›PMID 42728430›Full record

ReviewNature reviews. Chemistry2026

Structural evolution of ionizable lipids for nucleic acid delivery.

Lulu Xue, Melgious Jin Yan Ang, Kelsey L Swingle, Emily Fitzgerald, Ori Chalom, Ning Gu, Michael J Mitchell

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lulu XueDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA. lulxue@nju.edu.cn.ORCID http://orcid.org/0000-0001-5719-1336
Melgious Jin Yan AngDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
Kelsey L SwingleDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8475-9206
Emily FitzgeraldDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0009-0005-1157-4960
Ori ChalomDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0009-0002-0256-3862
Ning GuDepartment of Cardiology, Cardiovascular Disease Center, Institute of Clinical Medicine, Jiangsu Key Laboratory for Cardiovascular Information and Health Engineering Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China. guning@nju.edu.cn.ORCID http://orcid.org/0000-0003-0047-337X
Michael J MitchellDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA. mjmitch@seas.upenn.edu.ORCID http://orcid.org/0000-0002-3628-2244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ionizable lipid nanoparticles have emerged as a potent non-viral delivery platform for nucleic acid therapeutics, achieving clinical breakthroughs ranging from the FDA-approved small interfering RNA therapeutic to mRNA vaccines against coronavirus disease 2019 and respiratory syncytial virus. Their success stems from the ability of ionizable lipids to remain neutral in physiological environments, yet protonate in acidic endosomes, enabling the efficient release of genetic cargo. Over the last several decades, their structures have evolved extensively through the application of combinatorial chemistry, rational design, incorporation of functional elements and, most recently, machine learning and artificial intelligence-guided strategies. These innovations have expanded ionizable lipids from passive carriers into multifunctional materials capable of organ-specific targeting, responsiveness, immunomodulation and theranostics. In this Review, we highlight the development, synthesis and structural evolution of ionizable lipids as well as their emerging on-demand design functionalities and next-generation biomedical applications. We provide insights into the challenges and gaps for translation, manufacturing and expansion of lipid nanoparticle-mediated nucleic acid therapeutics for precision RNA medicine.

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Registered trials

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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.