Evidence map›Paper›PMID 38811651›Full record

ArticleScientific reports2024

Electrospun nanofiber mats caged the mammalian macrophages on their surfaces and prevented their inflammatory responses independent of the fiber diameter.

Furkan Ayaz, Didem Demir, Nimet Bölgen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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.

Furkan AyazDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Biruni University, 34010, Istanbul, Turkey. fayaz@biruni.edu.tr.ORCID 0000-0003-0271-0594
Didem DemirDepartment of Chemistry and Chemical Process Technologies, Vocational School of Technical Sciences, Tarsus University, 33343, Tarsus, Mersin, Turkey.ORCID 0000-0002-2977-2077
Nimet BölgenDepartment of Chemical Engineering, Faculty of Engineering, Mersin University, 33343, Mersin, Turkey. nimetbolgen@yahoo.com.ORCID 0000-0003-3162-0803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly-ε-caprolactone (PCL) has been widely used as biocompatible materials in tissue engineering. They have been used in mammalian cell proliferation to polarization and differentiation. Their modified versions had regulatory activities on mammalian macrophages in vitro. There are also studies suggesting different nanofiber diameters might alter the biological activities of these materials. Based on these cues, we examined the inflammatory activities and adherence properties of mammalian macrophages on electrospun PCL nanofibrous scaffolds formed with PCL having different nanofiber diameters. Our results suggest that macrophages could easily attach and get dispersed on the scaffolds. Macrophages lost their inflammatory cytokine TNF and IL6 production capacity in the presence of LPS when they were incubated on nanofibers. These effects were independent of the mean fiber diameters. Overall, the scaffolds have potential to be used as biocompatible materials to suppress excessive inflammatory reactions during tissue and organ transplantation by caging and suppressing the inflammatory cells.

Indexed as

InflammationMacrophagesNanofibersPolyestersTissue ScaffoldsAnimalsBiocompatible MaterialsCell AdhesionInterleukin-6LipopolysaccharidesMiceRAW 264.7 CellsTissue EngineeringTumor Necrosis Factor-alphaBiocompatible MaterialsInterleukin-6LipopolysaccharidespolycaprolactonePolyestersTumor Necrosis Factor-alphaElectrospinningImmunotoxicityInflammationMacrophagesPCL

Identifiers

PMID38811651
PMCPMC11137074

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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.