Evidence map›Paper›PMID 38316731›Full record

ArticleSleep & breathing = Schlaf & Atmung2024

Bioinformatics-based identification of key candidate genes and signaling pathways in patients with Parkinson's disease and obstructive sleep apnea.

Huan Tang, Kejia Zhang, Chi Zhang, Kai Zheng, Luying Gui, Bin Yan

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Article in Sleep & breathing = Schlaf & Atmung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Huan TangDepartment of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China.
Kejia ZhangDepartment of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China.
Chi ZhangDepartment of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China.
Kai ZhengJiangsu Province Key Laboratory of Oral Diseases, Nanjing, China.
Luying GuiDepartment of Mathematics, Nanjing University of Science and Technology, Nanjing, China.
Bin YanDepartment of Orthodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China. byan@njmu.edu.cn.

Funding

Jiangsu Province Engineering Research Center of Stomatological Translational Medicine GCZX2023-03National Natural Science Foundation of China 82071143
6 · The paper itself

Abstract

objectivesExisting evidence exhibits that obstructive sleep apnea (OSA) is a potential consequence of Parkinson's disease (PD) or a contributor to PD progression. This investigation aimed to detect potential critical genes and molecular mechanisms underlying interactions between PD and OSA through bioinformatics analyses.

methodsThe Gene Expression Omnibus (GEO) database was employed to obtain the expression profiles GSE20163 and GSE135917. The identification of common genes connected to PD and OSA was performed utilizing weighted gene co-expression network analysis and the R 4.0.4 program. The Cytoscape program was utilized to generate a network of protein-protein interactions (PPI), and the CytoHubba plugin was utilized to detect hub genes. Subsequently, functional enrichment analyses of the hub genes were conducted. Markers with increased diagnostic values for PD and OSA were confirmed using the GEO datasets GSE8397 and GSE38792.

resultsTypically, 57 genes that are common were identified in PD and OSA. Among these common genes, the top 10 hub genes in the PPI network were chosen. The verified datasets confirmed the presence of three important genes: CADPS, CHGA, and SCG3. Functional enrichment analysis revealed that these hub genes mostly participate in GABAergic synapses.

conclusionOur findings suggest that CADPS, CHGA, and SCG3 are key genes involved in molecular mechanisms underlying interactions between OSA and PD. Functional enrichment of hub genes indicated a link between GABAergic synapses and the shared pathogenesis of PD and OSA. These candidate genes and corresponding pathways offer novel insights regarding biological targets that underlie the transcriptional connection between OSA and PD.

Indexed as

Computational BiologyParkinson DiseaseSignal TransductionSleep Apnea, ObstructiveHumansProtein Interaction MapsBioinformatics analysisMicroarrayObstructive sleep apneaParkinson’s diseaseWGCNA (weighted gene co-expression network analysis)

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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.