Evidence map›Paper›PMID 28234898›Full record

ArticlePloS one2017

Semi-quantitative proteomics of mammalian cells upon short-term exposure to non-ionizing electromagnetic fields.

Arnold Kuzniar, Charlie Laffeber, Berina Eppink, Karel Bezstarosti, Dick Dekkers, Henri Woelders, A Peter M Zwamborn, Jeroen Demmers, Joyce H G Lebbink, Roland Kanaar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  4. 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

10 authors at 3 institutions in 1 country.

Arnold KuzniarDepartment of Molecular Genetics, Cancer Genomics Netherlands, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-1711-7961
Charlie LaffeberDepartment of Molecular Genetics, Cancer Genomics Netherlands, Erasmus University Medical Center, Rotterdam, The Netherlands.
Berina EppinkDepartment of Molecular Genetics, Cancer Genomics Netherlands, Erasmus University Medical Center, Rotterdam, The Netherlands.
Karel BezstarostiProteomics Center, Erasmus University Medical Center, Rotterdam, The Netherlands.
Dick DekkersProteomics Center, Erasmus University Medical Center, Rotterdam, The Netherlands.
Henri WoeldersWageningen Livestock Research, Wageningen, The Netherlands.
A Peter M ZwambornTNO, The Hague, The Netherlands.
Jeroen DemmersProteomics Center, Erasmus University Medical Center, Rotterdam, The Netherlands.
Joyce H G LebbinkDepartment of Molecular Genetics, Cancer Genomics Netherlands, Erasmus University Medical Center, Rotterdam, The Netherlands.
Roland KanaarDepartment of Molecular Genetics, Cancer Genomics Netherlands, Erasmus University Medical Center, Rotterdam, The Netherlands.
Erasmus MC · NLNetherlands Organisation for Applied Scientific Research · NLWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential effects of non-ionizing electromagnetic fields (EMFs), such as those emitted by power-lines (in extremely low frequency range), mobile cellular systems and wireless networking devices (in radio frequency range) on human health have been intensively researched and debated. However, how exposure to these EMFs may lead to biological changes underlying possible health effects is still unclear. To reveal EMF-induced molecular changes, unbiased experiments (without a priori focusing on specific biological processes) with sensitive readouts are required. We present the first proteome-wide semi-quantitative mass spectrometry analysis of human fibroblasts, osteosarcomas and mouse embryonic stem cells exposed to three types of non-ionizing EMFs (ELF 50 Hz, UMTS 2.1 GHz and WiFi 5.8 GHz). We performed controlled in vitro EMF exposures of metabolically labeled mammalian cells followed by reliable statistical analyses of differential protein- and pathway-level regulations using an array of established bioinformatics methods. Our results indicate that less than 1% of the quantitated human or mouse proteome responds to the EMFs by small changes in protein abundance. Further network-based analysis of the differentially regulated proteins did not detect significantly perturbed cellular processes or pathways in human and mouse cells in response to ELF, UMTS or WiFi exposure. In conclusion, our extensive bioinformatics analyses of semi-quantitative mass spectrometry data do not support the notion that the short-time exposures to non-ionizing EMFs have a consistent biologically significant bearing on mammalian cells in culture.

Indexed as

ProteomicsAnimalsCell LineCell PhoneElectromagnetic FieldsHumansMiceProtein BiosynthesisProteomeTranscriptomeWireless TechnologyProteome

Identifiers

PMID28234898
PMCPMC5325209
OpenAlexW2590895140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.