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Exploring the pathogenesis linking primary aldosteronism and obstructive sleep apnea via bioinformatic analysis
Lanlan Zhao1, Yuehua Dong2, Ying Wei1
1Department of Endocrinology and Rare Diseases, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Primary aldosteronism (PA) and obstructive sleep apnea (OSA) share common genes linked to inflammation and immune function. Identifying these shared hub genes may lead to new diagnostic and prognostic biomarkers for both conditions.
Area of Science:
- Genomics and Molecular Biology
- Cardiovascular Disease Research
- Sleep Medicine
Background:
- Primary aldosteronism (PA) and obstructive sleep apnea (OSA) are independent hypertension risk factors, increasing cardiovascular disease (CVD) risk.
- A bidirectional relationship exists between OSA and PA, but underlying mechanisms remain unclear.
- Understanding shared pathways is crucial for managing hypertension and associated CVDs.
Purpose of the Study:
- To investigate shared genetic characteristics between PA and OSA.
- To identify potential molecular mechanisms linking these two conditions.
- To discover novel biomarkers for PA and OSA.
Main Methods:
- Acquired gene expression datasets for aldosterone-producing adenoma (APA) and OSA from the Gene Expression Omnibus (GEO) database.
- Utilized Weighted Gene Co-expression Network Analysis (WGCNA) to identify common genes and modules.
- Performed functional enrichment analysis, Protein-Protein Interaction (PPI) analysis, and cross-database verification to identify hub genes.
Main Results:
- Identified 52 common genes between APA and OSA using WGCNA.
- Functional enrichment revealed involvement in interleukin-1 response, cytokine activity, and chemokine receptor binding.
- Five key hub genes (IL6, ATF3, PTGS2, CCL2, CXCL2) were identified, highlighting roles in inflammation, stress, and immune function.
Conclusions:
- PA and OSA share common genetic underpinnings related to inflammation and immune responses.
- The identified hub genes (IL6, ATF3, PTGS2, CCL2, CXCL2) represent potential biomarkers for PA and OSA diagnosis and prognosis.
- This research provides insights into the molecular links between PA and OSA, aiding in cardiovascular risk management.
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