Evidence map›Paper›PMID 25791458›Full record

ArticleJournal of materials science. Materials in medicine2015

Macrophage response to chitosan/poly-(γ-glutamic acid) nanoparticles carrying an anti-inflammatory drug.

Raquel Madeira Gonçalves, Ana Catarina Leite Pereira, Inês Odila Pereira, Maria José Oliveira, Mário Adolfo Barbosa

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of materials science. Materials in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 46 citations in OpenAlex.

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  13. Enhancing regenerative approaches with nanoparticles.Journal of the Royal Society, Interface · 2017
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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

5 authors at 2 institutions in 1 country.

Raquel Madeira GonçalvesInstituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal, raquelg@ineb.up.pt.
Ana Catarina Leite Pereira
Inês Odila Pereira
Maria José Oliveira
Mário Adolfo Barbosa
i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inflammatory response to biomaterials, traditionally viewed as detrimental, is nowadays considered essential for tissue repair/regeneration, being macrophages recognized as the key players in resolving inflammation. Here, the preparation of chitosan (Ch)/poly-(γ-glutamic acid) (γ-PGA) nanoparticles (NPs) as vehicle for a non-steroid anti-inflammatory drug, diclofenac (Df), is described and the response of primary human macrophages to this system is evaluated. Df was incorporated in Ch/γ-PGA NPs at controlled pH (5.0) (maximum 0.05 mg/ml). The components molar ratio and order of addition revealed to be critical to obtain NPs (315 ± 50 nm with 0.36 ± 0.06 polydispersion index). Df was released at physiological pH and this drug-delivery system was proved to be non toxic to macrophages, being rapidly internalized (95 %). Importantly, efficacy of Df-NPs was confirmed by their ability of inhibit/revert PGE2 production of activated macrophages. Therefore, Df-NPs could contribute to stifle local inflammatory reactions, namely those associated with biomaterials.

Indexed as

Anti-Inflammatory AgentsChitosanCytokinesDiclofenacDiffusionMacrophage ActivationMacrophagesNanocapsulesPolyglutamic AcidAnti-Inflammatory AgentsChitosanCytokinesDiclofenacNanocapsulespoly(gamma-glutamic acid)Polyglutamic Acid

Identifiers

PMID25791458
OpenAlexW2004123810

What OpenQuestion holds

Textmetadata
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.