Evidence map›Paper›PMID 29302253›Full record

ArticleImmune network2017

Polyvinylidene Fluoride Alters Inflammatory Responses by Activation-induced Cell Death in Macrophages.

Hyun Gyung Kim, Sang Hoon Kim, Taek-Seung Kim, Tae Won Park, Ran Won, Hee-Deung Park, Soo An Choi, Yong Woo Jung

Abstract read
In one paragraph

Article in Immune network, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Hyun Gyung KimDepartment of Pharmacy, Korea University, Sejong 30019, Korea.
Sang Hoon KimDepartment of Pharmacy, Korea University, Sejong 30019, Korea.
Taek-Seung KimSchool of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Korea.
Tae Won ParkDepartment of Psychiatry, Chonbuk National University Medical School, Jeonju 54907, Korea.
Ran WonDepartment of Biomedical Laboratory Science, Division of Health Sciences, Dongseo University, Busan 47011, Korea.
Hee-Deung ParkSchool of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Korea.
Soo An ChoiDepartment of Pharmacy, Korea University, Sejong 30019, Korea.
Yong Woo JungDepartment of Pharmacy, Korea University, Sejong 30019, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon nanotubes (CNTs) are nanomaterials that have been employed in generating diverse materials. We previously reported that CNTs induce cell death in macrophages, possibly via asbestosis. Therefore, we generated CNT-attached polyvinylidene fluoride (PVDF), which is an established polymer in membrane technology, and then examined whether CNT-attached PVDF is immunologically safe for medical purposes compared to CNT alone. To test this, we treated RAW 264.7 murine macrophages (RAW cells) with CNT-attached PVDF and analyzed the production of nitric oxide (NO), a potent proinflammatory mediator, in these cells. RAW cells treated with CNT-attached PVDF showed reduced NO production in response to lipopolysaccharide. However, the same treatment also decreased the cell number suggesting that this treatment can alter the homeostasis of RAW cells. Although cell cycle of RAW cells was increased by PVDF treatment with or without CNTs, apoptosis was enhanced in these cells. Taken together, these results indicate that PVDF with or without CNTs modulates inflammatory responses possibly due to activation-induced cell death in macrophages.

Indexed as

Carbon nanotubesCell deathInflammationMacrophagesNitric oxidePolyvinylidene fluoride

Identifiers

PMID29302253
PMCPMC5746610

What OpenQuestion holds

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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.