ArticleDiscover nano2023
Engineering of inhalable nano-in-microparticles for co-delivery of small molecules and miRNAs.
Article in Discover nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Aerodynamic barriers to inhaled furosemide delivery during dyspnoea revealed by experimental and computational modelling.Scientific reports · 2026Article
- MicroRNA-regulated signaling and tumor microenvironment modulation in lung cancer: mechanistic insights and translational opportunities.Cancer cell international · 2026Review
- Inhalable herbal nanotherapeutics targeting lung carcinoma.Scientific reports · 2026Article
- Inhalable Nanosystems for Bacterial Respiratory Infections: Addressing Pulmonary Barriers and Biofilm-Associated Challenges.International journal of nanomedicine · 2026Review
- Light-Responsive PLGA Microparticles for On-Demand Vancomycin Release and Enhanced Antibacterial Efficiency.Pharmaceutics · 2025Article
- Dry Powder Inhalers for Delivery of Synthetic Biomolecules.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Engineered nanocarriers for targeted lung cancer therapy: mechanistic innovations and recent clinical progress.Exploration of targeted anti-tumor therapy · 2025Review
- Recent Progress in Nucleic Acid Pulmonary Delivery toward Overcoming Physiological Barriers and Improving Transfection Efficiency.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Tiny Guides, Big Impact: Focus on the Opportunities and Challenges of miR-Based Treatments for ARDS.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
In this study, novel Trojan particles were engineered for direct delivery of doxorubicin (DOX) and miR-34a as model drugs to the lungs to raise local drug concentration, decrease pulmonary clearance, increase lung drug deposition, reduce systemic side effects, and overcome multi-drug resistance. For this purpose, targeted polyelectrolyte nanoparticles (tPENs) developed with layer-by-layer polymers (i.e., chitosan, dextran sulfate, and mannose-g-polyethyleneimine) were spray dried into a multiple-excipient (i.e., chitosan, leucine, and mannitol). The resulting nanoparticles were first characterized in terms of size, morphology, in vitro DOX release, cellular internalization, and in vitro cytotoxicity. tPENs showed comparable cellular uptake levels to PENs in A549 cells and no significant cytotoxicity on their metabolic activity. Co-loaded DOX/miR-34a showed a greater cytotoxicity effect than DOX-loaded tPENs and free drugs, which was confirmed by Actin staining. Thereafter, nano-in-microparticles were studied through size, morphology, aerosolization efficiency, residual moisture content, and in vitro DOX release. It was demonstrated that tPENs were successfully incorporated into microspheres with adequate emitted dose and fine particle fraction but low mass median aerodynamic diameter for deposition into the deep lung. The dry powder formulations also demonstrated a sustained DOX release at both pH values of 6.8 and 7.4.
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Registered trials
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.