Evidence map›Paper›PMID 40776451›Full record

ArticleAdvanced healthcare materials2025

Pulmonary Delivery of siRNA Anti-TNFα-loaded Lipid Nanoparticles for Rapid Recovery in Murine Acute Lung Injury.

Qinglin Wang, Jihana Achour, Laila Emam, Younes Louaguenouni, Catherine Cailleau, Françoise Mercier-Nomé, Séverine Domenichini, Claudine Delomenie, Sezen Gul, Juliette Vergnaud and 5 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

15 authors.

Qinglin WangUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.
Jihana AchourUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.
Laila EmamIHU-SEPSIS, Comprehensive Sepsis Center, Raymond Poincaré Hospital (AP-HP), University of Versailles Saint-Quentin en Yvelines, University Paris Saclay, Garches, 92380, France.
Younes LouaguenouniUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.
Catherine CailleauUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.
Françoise Mercier-NoméUMS-IPSIT Plateforme PHIC, Université Paris-Saclay, CNRS, Inserm, Ingénierie et Plateformes au Service de l'Innovation Thérapeutique, Orsay, France.
Séverine DomenichiniUMS-IPSIT Plateforme MIPSIT, Université Paris-Saclay, CNRS, Inserm, Ingénierie et Plateformes au Service de l'Innovation Thérapeutique, Orsay, France.ORCID 0000-0002-5997-2694
Claudine DelomenieUMS-IPSIT Plateforme ACTAGEN, Université Paris-Saclay, CNRS, Inserm, Ingénierie et Plateformes au Service de l'Innovation Thérapeutique, Orsay, France.
Sezen GulUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.
Juliette VergnaudUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.ORCID 0000-0003-2417-9490
Nicolas TsapisUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.ORCID 0000-0003-2095-2626
Arnaud MansartIHU-SEPSIS, Comprehensive Sepsis Center, Raymond Poincaré Hospital (AP-HP), University of Versailles Saint-Quentin en Yvelines, University Paris Saclay, Garches, 92380, France.
Djillali AnnaneIHU-SEPSIS, Comprehensive Sepsis Center, Raymond Poincaré Hospital (AP-HP), University of Versailles Saint-Quentin en Yvelines, University Paris Saclay, Garches, 92380, France.ORCID 0000-0001-6805-8944
Francois FayUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.ORCID 0000-0001-7405-5600
Elias FattalUniversité Paris-Saclay, CNRS, Institut Galien Paris-Saclay, Orsay, 91400, France.ORCID 0000-0002-3194-961X

Funding

Agence Nationale de la Recherche ANR JCJC NANOSEPSISChina Scholarship Council 202006380061IHU SEPSIS IAHU-0004-PROMETHEUS
6 · The paper itself

Abstract

This study investigates the potential of pulmonary delivery of siRNA as an emergency therapy for acute lung injury (ALI). To obtain a quick anti-inflammatory response, TNF-α, a critical pro-inflammatory cytokine, is knocked down for its early involvement in inflammatory responses. Therefore, TNF-α siRNA-lipid nanoparticles (LNPs) are designed and characterized for cellular uptake in lipopolysaccharide (LPS)-activated RAW264.7 murine macrophages, primary alveolar macrophages, and neutrophils from a murine ALI model. Intracellular trafficking and siRNA cytoplasmic release are evaluated in untreated and LPS-activated RAW264.7 cells. LPS-activated cells exhibit a fast and strong uptake of LNPs, including in primary cells. In RAW264.7 cells, significant endosomal escape and siRNA cytoplasmic release are observed after 16 h. In vitro efficacy studies reveal consistent TNF-α inhibition across pre-, co-, and post-incubation protocols, confirming the versatility of siRNA-LNPs in preventive or curative conditions. After intratracheal administration of TNF-α siRNA-LNPs in a murine ALI model, the distribution of LNPs demonstrates an accumulation in immune cells, including macrophages and neutrophils, reducing TNF-α and IL-6 levels, indicating a rapid anti-inflammatory effect. This work underscores the efficacy of TNF-α siRNA-LNPs in treating lung inflammatory diseases like ALI and highlights the importance of optimizing LNP distribution and delivery timing to enhance therapeutic outcomes.

Indexed as

Acute Lung InjuryLipidsNanoparticlesRNA, Small InterferingTumor Necrosis Factor-alphaAnimalsDisease Models, AnimalLipopolysaccharidesLungMacrophages, AlveolarMaleMiceNeutrophilsRAW 264.7 CellsLipidsLipopolysaccharidesRNA, Small InterferingTumor Necrosis Factor-alphaacute lung injurylung deliverynanomedicinesiRNATNF‐α

Identifiers

PMID40776451
PMCPMC12616584

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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.