Evidence map›Paper›PMID 29956778›Full record

ArticleMolecular medicine reports2018

Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.

Chunyan Wang, Hengtao Li, Lanfang Cao, Genzai Wang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Aberrant Methylation of Aging-Related Genes in Asthma.Frontiers in molecular biosciences · 2021
    Article
  7. 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

4 authors.

Chunyan WangDepartment of Pediatrics, Shanghai Fengxian Fengcheng Hospital, Shanghai 200000, P.R. China.
Hengtao LiDepartment of Pediatrics, Shanghai Fengxian Fengcheng Hospital, Shanghai 200000, P.R. China.
Lanfang CaoDepartment of Pediatrics, Ren Ji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200000, P.R. China.
Genzai WangDepartment of Pediatrics, Shanghai Fengxian Fengcheng Hospital, Shanghai 200000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, recurring airway obstruction and bronchospasm. The aim of the present study was to screen critical differentially expressed genes (DEGs) involved in asthma in children. Gene expression in different tissues was compared between asthmatic children and healthy control subjects in order to identify DEGs associated with asthma. Protein‑protein interaction (PPI) networks were constructed for the DEGs and weighted gene co‑expression network analysis methods were used to further determine the functional modules associated with DEGs in different tissue samples. In addition, the gene co‑expression network was constructed. Gene Ontology function analysis and pathway analysis were conducted to identify critical DEGs. The results identified numerous DEGs from the different tissue samples, including 1,662 DEGs from nasal‑epithelium tissue samples, 572 DEGs from peripheral blood (PB) samples and 146 DEGs from PB mononuclear cells samples. In the PPI network, F‑box only protein 6 (FBXO6), histone deacetylase 1 (HDAC1) and amyloid β precursor protein (APP) were hub genes and served an important role in the process of asthma. In addition, proliferating cell nuclear antigen (PCNA), integrin α‑4 (ITGA4), catenin α‑1 (CTNNA1), nuclear factor‑κB1 (NF‑κB1) and mechanistic target of rapamycin (MTOR) may be critical DEGs involved in the progression of asthma in children. These results suggested that FBXO6, HDAC1 and APP may interact with PCNA, ITGA4, CTNNA1, NF‑κB1 and mTOR in the progression of asthma in children.

Indexed as

Databases, GeneticGene Expression RegulationGene OntologyGene Regulatory NetworksAdolescentAsthmaChildChild, PreschoolFemaleHumansInfantMale

Identifiers

PMID29956778
PMCPMC6072229
OpenAlexW2809560082

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.