Evidence map›Paper›PMID 30519533›Full record

ArticleMethodsX2018

An in vitro method to survey DNA methylation in peripheral blood mononuclear cells (PBMCs) treated by airborne particulate matter (PM

Maryam Faraji, Zahra Pourpak, Kazem Naddafi, Ramin Nabizadeh Nodehi, Mohammad Hossein Nicknam, Mansour Shamsipour, Zahra Alizadeh, Soheila Rezaei, Narjes Soleimanifar, Alireza Mesdaghinia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2018. 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

10 authors.

Maryam FarajiDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Zahra PourpakImmunology, Asthma and Allergy Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Kazem NaddafiDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ramin Nabizadeh NodehiDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein NicknamMolecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mansour ShamsipourDepartment of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
Zahra AlizadehImmunology, Asthma and Allergy Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Soheila RezaeiSocial Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
Narjes SoleimanifarMolecular Immunology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Alireza MesdaghiniaDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The International Agency for Research on Cancer (IARC) has defined outdoor air pollution and PM as the human carcinogen (Group 1), which mainly cause an increased risk of lung cancer. Scientists have considered epigenetic modifications as a possible mechanism to deal with adverse effects of air pollution. This study aimed to compare the effect of airborne PM

Indexed as

5-Hydroxymethylscytosine (5-hmC)5-Methylscytosine (5-mC)Air pollutionEffect of airborne particulate matter on DNA methylationEpigeneticIn vitro DNA methylationPM10 (PM with aerodynamic diameter ≤10 μm)

Identifiers

PMID30519533
PMCPMC6260300

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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.