Evidence map›Paper›PMID 19564952›Full record

ArticleInternational journal of molecular sciences2009

A novel method for the preparation of retinoic acid-loaded nanoparticles.

Cesare Errico, Matteo Gazzarri, Federica Chiellini

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 45% of its field
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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
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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

3 authors at 1 institution in 1 country.

Cesare ErricoLaboratory of Bioactive Polymeric Materials for Biomedical & Environmental Applications (BIOlab), UdR-INSTM, Department of Chemistry and Industrial Chemistry, University of Pisa, Via Vecchia Livornese 1291, 56122 S. Piero a Grado, Pisa, Italy.
Matteo GazzarriLaboratory of Bioactive Polymeric Materials for Biomedical & Environmental Applications (BIOlab), UdR-INSTM, Department of Chemistry and Industrial Chemistry, University of Pisa, Via Vecchia Livornese 1291, 56122 S. Piero a Grado, Pisa, Italy.
Federica ChielliniLaboratory of Bioactive Polymeric Materials for Biomedical & Environmental Applications (BIOlab), UdR-INSTM, Department of Chemistry and Industrial Chemistry, University of Pisa, Via Vecchia Livornese 1291, 56122 S. Piero a Grado, Pisa, Italy.
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of present work was to investigate the use of bioerodible polymeric nanoparticles as carriers of retinoic acid (RA), which is known to induce differentiation of several cell lines into neurons. A novel method, named "Colloidal-Coating", has been developed for the preparation of nanoparticles based on a copolymer of maleic anhydride and butyl vinyl ether (VAM41) loaded with RA. Nanoparticles with an average diameter size of 70 nm and good morphology were prepared. The activity of the encapsulated RA was evaluated on SK-N-SH human neuroblastoma cells, which are known to undergo inhibition of proliferation and neuronal differentiation upon treatment with RA. The activity of RA was not affected by the encapsulation and purification processes.

Indexed as

Cell DifferentiationCell Line, TumorCell ProliferationColloidsEthersHumansMaleic AnhydridesNanoparticlesNeuroblastomaTissue EngineeringTretinoinVinyl Compoundsbutyl vinyl etherColloidsEthersMaleic AnhydridesTretinoinVinyl Compoundscolloidal coatingpolymeric nanoparticlesretinoic acid

Identifiers

PMID19564952
PMCPMC2695280
OpenAlexW2078748037

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.