Evidence map›Paper›PMID 32705270›Full record

ArticleMolecular medicine reports2020

Genome‑wide analysis of DNA methylation and gene expression changes in an ovalbumin‑induced asthma mouse model.

Joong-Sun Kim, In-Sik Shin, Na-Rae Shin, Jae-Yong Nam, Chul Kim

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2020. 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
0.4field-weighted citation impact, top 40% 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, 8 citations in OpenAlex.

  1. Frontiers in immunology · 2026
    Article
  2. Association of single nucleotide polymorphisms in the F2RL1 gene with clinical and inflammatory characteristics of patients with asthma.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2024
    Article
  3. Article
  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

5 authors at 3 institutions in 1 country.

Joong-Sun Kim *Herbal Medicine Resources Research Center, Korea Institute of Oriental Medicine, Naju‑si, Jeollanam‑do 58245, Republic of Korea.
In-Sik Shin *College of Veterinary Medicine and BK21 Plus Project Team, Chonnam National University, Gwangju 61186, Republic of Korea.
Na-Rae ShinCollege of Veterinary Medicine and BK21 Plus Project Team, Chonnam National University, Gwangju 61186, Republic of Korea.
Jae-Yong NamResearch and Development Center, Insilicogen Inc., Yongin‑si, Gyeonggi‑do 16954, Republic of Korea.
Chul KimFuture Medicine Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea.
Chonnam National University · KRKorea Institute of Oriental Medicine · KRInsilicogen (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to establish an integrated network of DNA methylation and RNA expression in an ovalbumin (OVA)‑induced asthma model, and to investigate the epigenetically‑regulated genes involved in asthma development. Genome‑wide CpG‑DNA methylation profiling was conducted through the use of a methylated DNA immunoprecipitation microarray and RNA sequencing was performed using three lung samples from mice with OVA‑induced asthma. A total of 35,401 differentially methylated regions (DMRs) were identified between mice with OVA‑induced asthma and control mice. Of these, 3,060 were located in promoter regions and 370 of the genes containing these DMRs demonstrated an inverse correlation between methylation and gene expression. Kyoto Encyclopedia of Genes and Genomes pathway analysis identified that 368 genes were upregulated or downregulated in OVA‑induced asthma samples, including genes involved in 'chemokine signalling pathway', 'focal adhesion', 'leukocyte transendothelial migration' and 'vascular smooth muscle contraction signaling' pathways. Integrated network analysis identified four hub genes, consisting of three upregulated genes [forkhead box O1 (FOXO1), SP1 transcription factor (SP1) and amyloid β precursor protein (APP)], and one downregulated gene [RUNX family transcription factor 1 (RUNX1)], all of which demonstrated an association between DNA methylation and gene expression. These genes were highly interconnected nodes in the Ingenuity Pathway Analysis module and were functionally significant. A total of four interconnected hub genes, FOXO1, RUNX1, SP1 and APP, were identified from the integrated DNA methylation and gene expression networks involved in asthma development. These results suggested that modulating these four genes could effectively control the development of asthma.

Indexed as

DNA MethylationGene Regulatory NetworksAnimalsAsthmaDisease Models, AnimalDown-RegulationEpigenesis, GeneticFemaleGene Expression ProfilingGene Expression RegulationGenome-Wide Association StudyHumansMiceOvalbuminSequence Analysis, DNAUp-RegulationOvalbuminasthmadna methylationgene expressionmice

Identifiers

PMID32705270
PMCPMC7411290
OpenAlexW3036116847

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.