Evidence map›Paper›PMID 42478324›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution-Based Biophysical Analyses.

Hannah C Geisler, Hannah C Safford, Ajay S Thatte, Marshall S Padilla, Elisa Battistini, Hannah M Yamagata, Violet M Ullman, Alex Chan, Benjamin E Nachod, Anushka Agrawal and 5 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

5 · Who and what money

Authors and funding

15 authors.

Hannah C GeislerDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-6455-8183
Hannah C SaffordDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ajay S ThatteDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7372-8893
Marshall S PadillaDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-3607-790X
Elisa BattistiniDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hannah M YamagataDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Violet M UllmanDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alex ChanDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Benjamin E NachodDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Anushka AgrawalDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Maxwell B WatkinsThe Biophysics Collaborative Access Team (BioCAT), Department of Physics, Illinois Institute of Technology, Chicago, Illinois, USA.
Jesse B HopkinsThe Biophysics Collaborative Access Team (BioCAT), Department of Physics, Illinois Institute of Technology, Chicago, Illinois, USA.
Andrew TsourkasDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Kushol GuptaDepartment of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Michael J MitchellDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

The Biophysics Collaborative Access Team (User Training and Outreach)P30GM138395 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI THOMAS C IRVING · 2021 to 2026
$16.5M
A Pixel Array Detector System for Small Angle X-ray ScatteringS10OD018483 · OD · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CLASSEN, SCOTT · 2014 to 2014
$998k
Acquisition of an asymmetric field flow fractionation-multiangle light scattering (AF4-MALS) systemS10OD040235 · OD · UNIVERSITY OF PENNSYLVANIA · PI KUSHOL GUPTA · 2026 to 2026
$406k
Burroughs Wellcome FundDepartment of Energy Office of Biological and Environmental Research KP1605010Johnson Research FoundationNational Science Foundation Graduate Research Fellowship Program 1845298NIGMS NIH HHS P30 GM138395NIGMS NIH HHS P30GM138395NIH HHS S10 OD018483NIH HHS S10-OD018483NIH HHS S10 OD040235NIH HHS S10-OD040235NSF CAREER Award CBET-2145491
6 · The paper itself

Abstract

Targeted lipid nanoparticles (tLNPs) enable cell-specific nucleic acid delivery through covalent attachment of targeting ligands that drive receptor-mediated LNP uptake. tLNPs are potentially promising for pregnancy‑associated applications where precise delivery is required to minimize maternal toxicity and protect fetal health. Yet, rational tLNP design is limited by an incomplete understanding of how physicochemical properties influence biological performance. Traditional analytical methods report only ensemble-averaged properties, leaving the nanoscale heterogeneity of tLNPs unresolved. Here, we utilize asymmetric flow field-flow fractionation integrated with in-line UV spectral analysis, light scattering, and synchrotron small-angle X-ray scattering (AF4-UV-DLS-MALS-SAXS) to resolve ligand-dependent tLNP subpopulations that differ in size, shape, composition, and relative abundance. Protein conjugation preserves the internal lipid-RNA nanostructure of base LNPs but substantially increases particle heterogeneity, particularly for larger and multivalent ligands. Despite increased heterogeneity, tLNPs functionalized with higher-avidity ligands achieve more effective targeted placental RNA delivery in mice. Chemometric SAXS analyses reveal that only SAXS-resolved tLNP subpopulations, not ensemble-averaged parameters, correlate with targeted placental transfection in vivo, whereas bulk physicochemical metrics more strongly associate with nonspecific hepatic delivery. Together, this work harnesses a separation-coupled biophysical platform to resolve previously inaccessible tLNP subpopulations and provides insights to inform rational engineering of next-generation targeted RNA therapeutics.

Indexed as

LipidsNanoparticlesAnimalsFemaleLiposomesMicePlacentaPregnancyRNAScattering, Small AngleSolutionsX-Ray DiffractionLipid NanoparticlesLipidsLiposomesRNASolutionslipid nanoparticlesnucleic acid deliverypregnancyrational designRNAsolution biophysicstargeting ligands

Identifiers

PMID42478324
PMCPMC13508731

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.