ArticleAAPS PharmSciTech2020
Bigger or Smaller? Size and Loading Effects on Nanoparticle Uptake Efficiency in the Nasal Mucosa.
Article in AAPS PharmSciTech, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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
7 citing papers in PubMed, 18 citations in OpenAlex.
- Nano-formulated curcumin uptake and biodistribution in the fetal growth restricted newborn piglet brain.Drug delivery and translational research · 2026Article
- Article
- Lipid nanoparticle-based mRNA platforms for mucosal HIV vaccines: formulation advances, immune mechanisms, and translational pathways.Archives of microbiology · 2025Review
- Nanotechnology-Based Therapeutics for Airway Inflammatory Diseases.Clinical reviews in allergy & immunology · 2025Review
- A Cell-Based Nasal Model for Screening the Deposition, Biocompatibility, and Transport of Aerosolized PLGA Nanoparticles.Molecular pharmaceutics · 2024Article
- Nanotechnological approaches for efficient N2B delivery: from small-molecule drugs to biopharmaceuticals.Beilstein journal of nanotechnology · 2024Review
- Paclitaxel Delivery to the Brain for Glioblastoma Treatment.International journal of molecular sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
PLGA nanoparticles hold great promise for nasal administration, but only with careful design will efficient, effective, and safe delivery systems be developed. To better understand the size dependence of nasal epithelial uptake, PLGA nanoparticles (60 nm or 125 nm) loaded with Nile Red were prepared, and their uptake into excised sections of bovine nasal respiratory or olfactory mucosa was measured for 30 or 60 min. The epithelial layer and the submucosal tissues were separated, and the amount of Nile Red was used to calculate the number of nanoparticles in each tissue region. Both particle sizes were able to be internalized into the nasal tissues in as little as 30 min, but their total uptake represented less than 5% of the nanoparticles available. Nanoparticles were present both in the epithelial cells and in the submucosal tissues, and greater numbers of the 60-nm particles were present in the submucosa than the epithelium, while greater numbers of the 125-nm particles remained in the epithelial cell layer. The amount of Nile Red recovered from the mucosal tissues after exposure to 125-nm nanoparticles was at least 2-fold greater than from the 60-nm nanoparticles, however, due to the higher (~ 9-fold) loading capacity of the larger particles. The greater mass transfer of the Nile Red from the larger particles suggests that it may not be necessary to develop small nanoparticulate delivery systems for efficient drug delivery via the nasal mucosa. Well-designed nanoparticles with diameters > 100 nm show good uptake into the nasal epithelium and are capable of transfer to the submucosal tissues, near the location of significant populations of blood and lymphatic vessels. Graphical abstract.
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What OpenQuestion holds
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.