Evidence map›Paper›PMID 24595497›Full record

ArticlePharmaceutical research2014

In vitro efficacy of polysaccharide-based nanoparticles containing disease-modifying antirheumatic drugs.

Nan Zhang, Patricia R Wardwell, Rebecca A Bader

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Article in Pharmaceutical research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  9. Review
  10. Article
  11. Molecular targets in arthritis and recent trends in nanotherapy.International journal of nanomedicine · 2015
    Review
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.

Nan ZhangSyracuse Biomaterials Institute Department of Biomedical and Chemical Engineering, Syracuse University, 318 Bowne Hall, Syracuse, New York, 13244, USA.
Patricia R Wardwell
Rebecca A Bader

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the therapeutic efficacy of dexamethasone (DM) and methotrexate (MTX) entrapped within polysialic acid (PSA)-trimethyl chitosan (TMC) nanoparticles using an in vitro model of rheumatoid arthritis (RA).

methodsThe loading capacity of the PSA-TMC nanoparticles was determined. An RA in vitro model was developed by stimulating a synovial cell line with a proinflammatory mediator. Multiplex immunoassay was used to determine changes in the secretion of interleukin-6 (IL-6), interleukin-8 (IL-8), and granulocyte-macrophage colony-stimulating factor (GM-CSF) by the in vitro model following administration of the DM- and MTX-loaded nanoparticles.

resultsThe loading capacity of the PSA-TMC nanoparticles was approximately 0.1 mg of drug/mg of nanoparticle. When applied to our in vitro model of RA, there were no significant differences in the concentrations of IL-6 and IL-8 when comparing the free drugs and drug-loaded nanoparticles, administered at concentration of 0.1 mg/ml and 1.0 mg/ml, respectively.

conclusionsThe present study verified that MTX and DM are able to retain bioactivity when loaded into PSA-TMC nanoparticles. Although in vitro efficacy was not increased, the in vivo efficacy will likely be enhanced by the site-specific targeting conferred by nanoparticle entrapment.

Indexed as

Anti-Inflammatory AgentsAntirheumatic AgentsArthritis, RheumatoidCell LineChitosanDexamethasoneDrug CarriersGranulocyte-Macrophage Colony-Stimulating FactorHumansInterleukin-6Interleukin-8MethotrexateNanoparticlesSialic AcidsSynovial MembraneAnti-Inflammatory AgentsAntirheumatic AgentsChitosanDexamethasoneDrug CarriersGranulocyte-Macrophage Colony-Stimulating FactorInterleukin-6Interleukin-8Methotrexatepolysialic acidSialic Acids

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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.