Evidence map›Paper›PMID 42559754›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Ionizable Lipid-Dependent Optimization of Steroid Lipid Nanoparticles With Tunable Immunomodulatory Properties.

Ajay S Thatte, Benjamin E Nachod, Julia Baena, Jenna Muscat-Rivera, Lesley Chaboub, Hannah C Safford, Hannah C Geisler, Hannah M Yamagata, Melgious J Y Ang, Michael Kegel and 12 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

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

22 authors.

Ajay S ThatteDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7372-8893
Benjamin E NachodDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Julia BaenaDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jenna Muscat-RiveraDivision of Infectious Disease, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lesley ChaboubDivision of Infectious Disease, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hannah C SaffordDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hannah C GeislerDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-6455-8183
Hannah M YamagataDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Melgious J Y AngDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Michael KegelDivision of Infectious Disease, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alexandre PoirierDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Elaine R TongDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Zhe ZhongDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0009-0001-8659-3040
Qiangqiang ShiDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jinjin WangDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Elisa BattistiniDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ye ZengDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-1207-6486
Alex G HamiltonDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-9810-5630
Kelsey L SwingleDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-8475-9206
Drew WeissmanDivision of Infectious Disease, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-1501-6510
Jilian R MelamedDivision of Infectious Disease, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-0364-9334
Michael J MitchellDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

A data-driven drug delivery (4D) platform for probing and treating the chemoresistant bone marrow microenvironmentDP2TR002776 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI MITCHELL, MICHAEL J · 2018 to 2018
$2.4M
Agency of Science, Technology, and Research (A*STAR)American Cancer Society RSG-22-122-01-ETBioNTech sponsored research agreementBreakthrough T1D 3-SRA-2024-1612-S-BBurroughs Wellcome Fund Career Award at the Scientific InterfaceDepartment of Defense HT9425-25-1-0251National Science Foundation Graduate Research Fellowship Program Award 1845298NCATS NIH HHS DP2 TR002776NIH HHS DP2 TR002776NSF CAREER Award CBET-2145491University of Pennsylvania Institute for Immunology and Immune Health Roberts Family-Katalin Karikó FellowshipUniversity of Pennsylvania Institute for RNA Innovation
6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) are a leading platform for nucleic acid delivery, yet their intrinsic adjuvanticity poses a significant materials design challenge for applications requiring immunological quiescence. Here, we report a modular engineering strategy that incorporates FDA-approved corticosteroids into LNP formulations, creating a new class of steroid LNPs with tunable anti-inflammatory properties. Through systematic screening of steroid and cholesterol substitution ratios, we establish structure-property relationships governing mRNA encapsulation efficiency, physicochemical characteristics, and inflammation suppression. Triamcinolone (TRI) emerges as our lead steroid, with 50% cholesterol substitution in SM-102 LNPs preserving physicochemical characteristics. Importantly, we show that optimal substitution ratios are ionizable lipid-dependent-80% for MC3 and 50% for SM-102 and ALC-0315-revealing fundamental design principles for these dual-functional LNPs. In an endotoxemia mouse model, TRI LNPs administered intramuscularly maintain mRNA delivery efficacy while reducing inflammatory cytokines by ∼4-fold compared to SM-102 LNPs. In a multiple sclerosis mouse model, TRI LNPs delivering therapeutic mRNA promote antigen-specific tolerance in spinal cord tissue and protect against paralysis. Compared to SM-102 LNPs, TRI LNPs reduce inflammatory cytokines by ∼3-fold and prolong protection against paralysis. Together, our work introduces a generalizable materials design strategy for engineering LNPs with tunable immunomodulatory properties to expand their therapeutic utility.

Indexed as

Immunologic FactorsLipidsNanoparticlesSteroidsAnimalsCytokinesLiposomesMiceRNA, MessengerTriamcinoloneCytokinesImmunologic FactorsLipid NanoparticlesLipidsLiposomesRNA, MessengerSteroidsTriamcinoloneautoimmune diseaseimmunomodulatory materialslipid nanoparticlesnanomaterials designnanotechnologynucleic acid delivery

Identifiers

PMID42559754
PMCPMC13648879

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.