閉塞性睡眠時無呼吸と間質性膀胱炎/膀胱痛症候群の分子的関連性の探求：バイオインフォマティクスおよび機械学習研究
Yang Xu1,2, Fei Jiang3, Bin Zheng2
1Department of Anesthesiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, China.
Background:
Obstructive sleep apnea (OSA) and interstitial cystitis/bladder pain syndrome (IC/BPS) are chronic conditions that significantly impact patients' quality of life. OSA involves recurrent upper airway obstruction during sleep, causing hypoxia and fragmented sleep linked to cardiovascular and metabolic issues. IC/BPS is defined by chronic pelvic pain and urinary symptoms; its pathophysiology is complex and poorly understood. The overlap in the prevalence of OSA and IC/BPS suggests a possible shared pathophysiological link. This study aimed to identify shared molecular mechanisms and diagnostic biomarkers between OSA and IC/BPS through integrated bioinformatics approaches.
Methods:
This study used bioinformatics and machine learning to analyze transcriptomic data for OSA and IC/BPS, identifying differential expressed genes (DEGs) and enriched pathways from Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) constructed gene co-expression networks and identified hub genes, while immune infiltration analysis characterized the immune microenvironment. Four machine learning algorithms developed diagnostic models and also identified key markers.
Results:
A total of 2,233 DEGs were identified in OSA and 1,183 in IC/BPS, with 93 overlapping genes. Among these, machine learning algorithms identified DUSP9 as the single common gene linking both disorders, forming two-gene signatures for each condition (DUSP9/CCDC68 for OSA and DUSP9/KPNA2 for IC/BPS). Key pathways for OSA included RIG-I-like and NOD-like receptor signaling. In contrast, IC/BPS was linked to cytokine interactions and JAK-STAT signaling. Immune infiltration analysis showed that DUSP9 expression was correlated with CD56dim natural killer cells in OSA and with activated CD4 T cells in IC/BPS, further supporting its role in the immune response associated with these disorders.
Conclusions:
This study established DUSP9 as a pivotal shared biomarker and central regulator linking OSA and IC/BPS through integrated bioinformatics analysis.
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