ArticleBMC research notes2018
Intranasal administration of cationic liposomes enhanced granulocyte-macrophage colony-stimulating factor expression and this expression is dispensable for mucosal adjuvant activity.
Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 20 citations in OpenAlex.
- Intranasal biomaterials for treatment-resistant depression: device-formulation coupling and therapeutic exposure.Frontiers in bioengineering and biotechnology · 2026Article
- Article
- Lipid-based colloidal nanoparticles for applications in targeted vaccine delivery.Nanoscale advances · 2023Review
- Role of interleukin-6 in antigen-specific mucosal immunoglobulin A induction by cationic liposomes.International immunopharmacology · 2021Article
- Application of nanotechnology in drug delivery systems for respiratory diseases (Review).Molecular medicine reports · 2021Review
- Polymeric Caffeic Acid Acts as a Nasal Vaccine Formulation againstPharmaceutics · 2021Article
- Plant-derived protein bodies as delivery vehicles for recombinant proteins into mammalian cells.Biotechnology and bioengineering · 2020Article
- Essential Role of Host Double-Stranded DNA Released from Dying Cells by Cationic Liposomes for Mucosal Adjuvanticity.Vaccines · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveInfectious diseases remain a threat to human life. Vaccination against pathogenic microbes is a primary method of treatment as well as prevention of infectious diseases. Particularly mucosal vaccination is a promising approach to fight against most infectious diseases, because mucosal surfaces are a major point of entry for most pathogens. We recently developed an effective mucosal adjuvant of cationic liposomes composed of 1,2-dioleoyl-3-trimethylammonium-propane (DOTAP) and 3β-[N-(N',N'-dimethylaminoethane)-carbamoyl] (DC-chol) (DOTAP/DC-chol liposomes). However, the mechanism(s) underlying the mucosal adjuvant effects exerted by the cationic liposomes have been unclear. In this study, we investigated the role of granulocyte-macrophage colony-stimulating factor (GM-CSF), which was reported to act as a mucosal adjuvant, on the mucosal adjuvant activities of DOTAP/DC-chol liposomes when administered intranasally to mice.
resultsHere, we show that, although intranasal vaccination with cationic liposomes in combination with antigenic protein elicited GM-CSF expression at the site of administration, blocking GM-CSF function by using an anti-GM-CSF neutralizing antibody did not alter antigen-specific antibody production induced by DOTAP/DC-chol liposomes, indicating that GM-CSF may not contribute to the mucosal adjuvant activity of the cationic liposomes when administered intranasally.
Indexed as
Identifiers
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.