Evidence map›Paper›PMID 41583553›Full record

ArticleMolecular therapy. Nucleic acids2026

Enhanced neuronal transfection in the injured brain following systemic delivery of peptide-targeted lipid nanoparticles.

Jason R Wu, Yazmin Hernandez, Akash Canjels, Kit L Bailey, Ester J Kwon

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Jason R WuDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Yazmin HernandezDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Akash CanjelsDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Kit L BaileyDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Ester J KwonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.

Funding

Macrophage-targeting Nanoplatforms as Immunotherapy against Pulmonary InfectionsR01AI132413 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Michael J Sailor · 2017 to 2026
$6.0M
NIAID NIH HHS R01 AI132413
6 · The paper itself

Abstract

The consequence of traumatic brain injury (TBI) is significant loss of nervous tissue that leads to long-term neurological deficits. Nucleic acid payloads offer potential treatments that can address the complex pathophysiology that unfolds after injury. TBI causes a transient disruption of the blood-brain barrier, allowing access of systemically administered nanoparticles to the affected nervous tissue. In this work, we evaluated the dosing window post-injury in which lipid nanoparticles (LNPs) carrying mRNA can access and transfect the injured brain after systemic administration and identified 24 h post-injury as a delivery time that achieves both LNP access and transfection activity. We observed that transfected cell types were majorly astrocytes and endothelial cells with no appreciable transfection of neurons. To increase neuronal transfection, we functionalized LNPs with the peptide RVG and were able to increase the proportion of neurons transfected 6.4-fold over untargeted LNPs. These results identify timelines in which LNPs can access the injured brain parenchyma to mediate gene expression and strategies to achieve neuron-specific gene delivery.

Indexed as

Ai9 micebiodistributioncontrolled cortical impactlipid nanoparticlesMT: Delivery StrategiesneuronsRVGtraumatic brain injury

Identifiers

PMID41583553
PMCPMC12828756

What OpenQuestion holds

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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.