Evidence map›Paper›PMID 30719767›Full record

ArticleJournal of cellular biochemistry2019

Effects of CPAP on the transcriptional signatures in patients with obstructive sleep apnea via coexpression network analysis.

Juxiang Peng, Jukun Song, Jing Zhou, Xinhai Yin, Jinlin Song

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cellular biochemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Combined Association BetweenNature and science of sleep · 2022
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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.

Juxiang PengDepartment of Orthodontics, Guiyang Hospital of Stomatology, Guiyang, China.
Jukun SongDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.ORCID 0000-0003-2542-9340
Jing ZhouDepartment of Orthodontics, Guiyang Hospital of Stomatology, Guiyang, China.
Xinhai YinDepartment of Oral and Maxillofacial Surgery, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Jinlin SongDepartment of Orthodontics, Guiyang Hospital of Stomatology, Guiyang, China.
Stomatological Hospital of Chongqing Medical University · CNGuizhou Provincial People's Hospital · CNStomatology Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing number of studies provide epidemiological evidence linking obstructive sleep apnea (OSA) with a number of chronic disorders. Transcriptional analyses have been conducted to analyze the gene expression data. However, the weighted gene coexpression network analysis (WGCNA) method has not been applied to determine the transcriptional consequence of continuous positive airway pressure (CPAP) therapy in patients with severe OSA. The aim of this study was to identify key pathways and genes in patients with OSA that are influenced by CPAP treatment and uncover/unveil potential molecular mechanisms using WGCNA. We analyzed the microarray data of OSA (GSE 49800) listed in the Gene Expression Omnibus database. Coexpression modules were constructed using WGCNA. In addition, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were also conducted. After the initial data processing, 5101 expressed gene profiles were identified. Next, a weighted gene coexpression network was established and 16 modules of coexpressed genes were identified. The interaction analysis demonstrated a relative independence of gene expression in these modules. The black module, tan module, midnightblue module, pink module, and greenyellow module were significantly associated with the alterations in circulating leukocyte gene expression at baseline and after exposure to CPAP. The five hub genes were considered to be candidate OSA-related genes after CPAP treatment. Functional enrichment analysis revealed that steroid biosynthesis, amino sugar and nucleotide sugar metabolism, protein processing in the endoplasmic reticulum, and the insulin signaling pathway play critical roles in the development of OSA in circulating leukocyte gene expression at baseline and after exposure to CPAP. Using this new systems biology approach, we identified several genes and pathways that appear to be critical to OSA after CPAP treatment, and these findings provide a better understanding of OSA pathogenesis.

Indexed as

Continuous Positive Airway PressureFemaleGene Expression RegulationGene OntologyGene Regulatory NetworksHumansLeukocytesMaleMiddle AgedSleep Apnea, Obstructivecontinuous positive airway pressure (CPAP)obstructive sleep apnea (OSA)weighted gene coexpression network analysis (WGCNA)

Identifiers

PMID30719767
PMCPMC6593761
OpenAlexW2912136701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.