Evidence map›Paper›PMID 40672257›Full record

ArticlebioRxiv : the preprint server for biology2025

Tryptophan and IFN-γ Differentially Modulate Cellular Uptake, Intracellular Trafficking, and Gene Expression of Messenger RNA-Loaded Lipid Nanoparticles in Dendritic Cells.

Zitao Ma, Reena Jatyan, Nikki Crowley, Cierra Girardi, Mariya Khan, Akeile Smith, Pu-Sheng Wei, Yu-Hsuan Tsai, Kuo-Ching Mei

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

9 authors.

Zitao MaDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0009-0007-7065-8501
Reena JatyanDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0009-0005-9521-219X
Nikki CrowleyDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0009-0001-6510-0788
Cierra GirardiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0009-0009-5129-9405
Mariya KhanDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0009-0006-4159-7407
Akeile SmithDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0009-0007-3564-7698
Pu-Sheng WeiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0009-0008-1595-2705
Yu-Hsuan TsaiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0000-0002-1745-9091
Kuo-Ching MeiDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, State University of New York at Binghamton, Johnson City, NY 13790, USA.ORCID 0000-0001-6045-2154

Funding

Complementary Biotherapeutic Delivery Platforms for Enabling Gene Re-deliveryR35GM155362 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Kuo-Ching Mei · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM155362
6 · The paper itself

Abstract

Lipid nanoparticle (LNP)-mediated mRNA delivery has emerged as a powerful platform for both immunostimulatory and immunomodulatory applications. However, the influence of local immunometabolic cues on the intracellular fate and translational efficiency of mRNA-LNPs remains poorly understood. In this study, we investigated how interferon-gamma (IFN-γ), a potent inducer of indoleamine 2,3-dioxygenase 1 (IDO1), and tryptophan (Trp) deprivation independently and combinatorially affect mRNA-LNP function in DC2.4 dendritic cells. These two cues are canonical drivers of immunoregulatory microenvironments, particularly those that favor tolerogenic dendritic cell programming and the induction of regulatory T cells. Using dual-reporter mRNA constructs and high-resolution confocal imaging, we show that IFN-γ stimulation reduces total cellular mRNA uptake and lysosomal accumulation without affecting translation efficiency and endosomal escape efficiency. Whereas Trp deprivation also reduces the overall cellular uptake of mRNA-LNPs, it also significantly impairs protein synthesis from mRNA-LNPs and modestly reduces endosomal escape, despite having minimal impact on lysosomal mRNA levels. Spatial compartmentalization analysis revealed that IFN-γ and Trp limitation disrupt distinct steps in the delivery-translation cascade, acting independently but additively to suppress the ultimate protein translation from mRNA-LNPs in DC2.4 dendritic cells. These findings highlight the importance of considering local metabolic and cytokine contexts when deploying mRNA-LNPs for immunological applications. Our work provides mechanistic insights into how immunoregulatory environments impair the delivery and translation of mRNA-LNPs, suggesting strategies to tune delivery outcomes for tolerogenic purposes.

Indexed as

dendritic cellsendosomal escapeimmune toleranceinterferon-gamma stimulationmessenger RNA lipid nanoparticlestryptophan deprivation

Identifiers

PMID40672257
PMCPMC12265642

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.