{"title":"Exploring Bidirectional Causality between Obstructive Sleep Apnea and Chronic Kidney Disease via Mendelian Randomization.","authors":"Xiaoning Liu, Mengna Liu, Bijuan Zhong, Xinxin He, Yalai Xu, Zheng Zhou, Pei Qin","doi":"10.2147/NSS.S503387","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>It remains unclear about the causal association between obstructive sleep apnea (OSA) and chronic kidney disease (CKD) and renal function. This study aimed to explore the bidirectional causal relationship between OSA and CKD and renal function.</p><p><strong>Methods: </strong>We used a 2-sample bidirectional Mendelian randomization (MR) method to evaluate the causal relationship between OSA and estimated glomerular filtration rate from creatinine (eGFRcrea), eGFR from cystatin C (eGFRcys), urine albumin to creatinine ratio (UACR), blood urea nitrogen (BUN), and chronic kidney disease (CKD). Inverse variance weighted (IVW), MR-Egger, weighted median, MR-Egger, and pleiotropy residual sum and outlier test (MR-PRESSO) were used to calculate the β or odds ratio [OR] and their 95% CIs.</p><p><strong>Results: </strong>Genetically predicted OSA was found to be associated with BUN (β=0.040, 95% CI: 0.013-0.067, p = 0.003), but not associated with CKD (OR = 1.075, 95% CI: 0.916-1.263, p = 0.375), eGFRcrea (β=0.007, 95% CI: -0.004-0.017, p = 0.203), eGFRcys (β=-0.012, 95% CI: -0.026-0.002, p = 0.102), or UACR (β=-0.025, 95% CI: -0.058-0.007, p = 0.122). In the reverse analysis, genetically predicted eGFRcys (OR, 0.687; 95% CI, 0.497-0.950, p = 0.023) and BUN (OR, 1.686; 95% CI, 1.299-2.073, p = 0.008) was associated with an increased risk of OSA. The Cochrane's Q test reveals significant heterogeneity between various single nucleotide polymorphisms. MR-Egger indicated no evidence of genetic pleiotropy. Results were robust using other MR methods in sensitivity analyses.</p><p><strong>Conclusion: </strong>Through the two-sample MR analysis, we identified kidney function may have a causal relationship with OSA, but a causal relationship between OSA and CKD and kidney function remains uncertain. More studies are required to better understand the relationship between OSA and CKD and kidney function.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1205-1215"},"PeriodicalIF":3.0000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12153958/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/NSS.S503387","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: It remains unclear about the causal association between obstructive sleep apnea (OSA) and chronic kidney disease (CKD) and renal function. This study aimed to explore the bidirectional causal relationship between OSA and CKD and renal function.
Methods: We used a 2-sample bidirectional Mendelian randomization (MR) method to evaluate the causal relationship between OSA and estimated glomerular filtration rate from creatinine (eGFRcrea), eGFR from cystatin C (eGFRcys), urine albumin to creatinine ratio (UACR), blood urea nitrogen (BUN), and chronic kidney disease (CKD). Inverse variance weighted (IVW), MR-Egger, weighted median, MR-Egger, and pleiotropy residual sum and outlier test (MR-PRESSO) were used to calculate the β or odds ratio [OR] and their 95% CIs.
Results: Genetically predicted OSA was found to be associated with BUN (β=0.040, 95% CI: 0.013-0.067, p = 0.003), but not associated with CKD (OR = 1.075, 95% CI: 0.916-1.263, p = 0.375), eGFRcrea (β=0.007, 95% CI: -0.004-0.017, p = 0.203), eGFRcys (β=-0.012, 95% CI: -0.026-0.002, p = 0.102), or UACR (β=-0.025, 95% CI: -0.058-0.007, p = 0.122). In the reverse analysis, genetically predicted eGFRcys (OR, 0.687; 95% CI, 0.497-0.950, p = 0.023) and BUN (OR, 1.686; 95% CI, 1.299-2.073, p = 0.008) was associated with an increased risk of OSA. The Cochrane's Q test reveals significant heterogeneity between various single nucleotide polymorphisms. MR-Egger indicated no evidence of genetic pleiotropy. Results were robust using other MR methods in sensitivity analyses.
Conclusion: Through the two-sample MR analysis, we identified kidney function may have a causal relationship with OSA, but a causal relationship between OSA and CKD and kidney function remains uncertain. More studies are required to better understand the relationship between OSA and CKD and kidney function.
期刊介绍:
Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep.
Specific topics covered in the journal include:
The functions of sleep in humans and other animals
Physiological and neurophysiological changes with sleep
The genetics of sleep and sleep differences
The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness
Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness
Sleep changes with development and with age
Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause)
The science and nature of dreams
Sleep disorders
Impact of sleep and sleep disorders on health, daytime function and quality of life
Sleep problems secondary to clinical disorders
Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health)
The microbiome and sleep
Chronotherapy
Impact of circadian rhythms on sleep, physiology, cognition and health
Mechanisms controlling circadian rhythms, centrally and peripherally
Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health
Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption
Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms
Epigenetic markers of sleep or circadian disruption.