{"title":"睡眠特征与勃起功能障碍之间的因果关系:孟德尔随机分析的证据","authors":"Leilei Zhu, Qingqiang Gao, Xiaojia Guo, Zeqiao Xu, Jian Zhang","doi":"10.5114/aoms/188718","DOIUrl":null,"url":null,"abstract":"Although several observational studies have explored the association between sleep traits and the risk of erectile dysfunction (ED), it remains controversial. In the present study, we included a wide range of sleep traits that are commonly observed in clinical practice. We investigated the causal relationship between these sleep traits and ED using univariate and multivariate Mendelian randomization (MR) methods.Instrumental variables (IVs) for eight sleep traits (insomnia, sleep duration, chronotype, and sleep apnea syndrome), five confounders (depression, body mass index, smoking initiation, alcohol consumption, and type 2 diabetes), and ED were derived from genome-wide association study (GWAS) data of individuals of European ancestry. The primary analysis technique used was the inverse-variance weighted (IVW) approach. Furthermore, several sensitivity analyses were conducted to evaluate heterogeneity, horizontal pleiotropy, and stability.MR analysis revealed that increased snoring, short sleep, and frequent insomnia, were associated with a higher risk of ED. Furthermore, we found evidence of a significant association between being a morning person and the risk of developing ED. This association persisted in multivariable MR analyses after adjusting for potential confounding factors. Sensitivity analysis suggested that the results were robust with no evidence of pleiotropy or heterogeneity.This study provides further evidence supporting the association between genetically predicted snoring, insomnia, and an increased risk of ED. Additionally, the study highlights the causal relationship of short sleep duration and chronotype with ED.","PeriodicalId":8278,"journal":{"name":"Archives of Medical Science","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Causal relationship between sleep traits and erectile dysfunction: Evidence from Mendelian Randomization analysis\",\"authors\":\"Leilei Zhu, Qingqiang Gao, Xiaojia Guo, Zeqiao Xu, Jian Zhang\",\"doi\":\"10.5114/aoms/188718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although several observational studies have explored the association between sleep traits and the risk of erectile dysfunction (ED), it remains controversial. In the present study, we included a wide range of sleep traits that are commonly observed in clinical practice. We investigated the causal relationship between these sleep traits and ED using univariate and multivariate Mendelian randomization (MR) methods.Instrumental variables (IVs) for eight sleep traits (insomnia, sleep duration, chronotype, and sleep apnea syndrome), five confounders (depression, body mass index, smoking initiation, alcohol consumption, and type 2 diabetes), and ED were derived from genome-wide association study (GWAS) data of individuals of European ancestry. The primary analysis technique used was the inverse-variance weighted (IVW) approach. Furthermore, several sensitivity analyses were conducted to evaluate heterogeneity, horizontal pleiotropy, and stability.MR analysis revealed that increased snoring, short sleep, and frequent insomnia, were associated with a higher risk of ED. Furthermore, we found evidence of a significant association between being a morning person and the risk of developing ED. This association persisted in multivariable MR analyses after adjusting for potential confounding factors. Sensitivity analysis suggested that the results were robust with no evidence of pleiotropy or heterogeneity.This study provides further evidence supporting the association between genetically predicted snoring, insomnia, and an increased risk of ED. Additionally, the study highlights the causal relationship of short sleep duration and chronotype with ED.\",\"PeriodicalId\":8278,\"journal\":{\"name\":\"Archives of Medical Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Medical Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5114/aoms/188718\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Medical Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5114/aoms/188718","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
摘要
尽管已有多项观察性研究探讨了睡眠特征与勃起功能障碍(ED)风险之间的关系,但这一问题仍存在争议。在本研究中,我们纳入了临床实践中常见的各种睡眠特征。八种睡眠特征(失眠、睡眠持续时间、慢性型和睡眠呼吸暂停综合征)、五种混杂因素(抑郁、体重指数、开始吸烟、饮酒和 2 型糖尿病)和 ED 的工具变量(IVs)均来自欧洲血统个体的全基因组关联研究(GWAS)数据。采用的主要分析技术是逆方差加权(IVW)方法。此外,我们还进行了几项敏感性分析,以评估异质性、水平多向性和稳定性。MR 分析显示,打鼾、睡眠时间短和经常失眠与较高的 ED 风险相关。此外,我们还发现晨起习惯与罹患 ED 的风险之间存在显著关联。在调整了潜在的混杂因素后,这种关联在多变量 MR 分析中依然存在。敏感性分析表明,结果是稳健的,没有证据表明存在多义性或异质性。这项研究提供了进一步的证据,支持遗传预测的打鼾、失眠与 ED 风险增加之间的关联。此外,该研究还强调了睡眠时间短和慢性型与 ED 之间的因果关系。
Causal relationship between sleep traits and erectile dysfunction: Evidence from Mendelian Randomization analysis
Although several observational studies have explored the association between sleep traits and the risk of erectile dysfunction (ED), it remains controversial. In the present study, we included a wide range of sleep traits that are commonly observed in clinical practice. We investigated the causal relationship between these sleep traits and ED using univariate and multivariate Mendelian randomization (MR) methods.Instrumental variables (IVs) for eight sleep traits (insomnia, sleep duration, chronotype, and sleep apnea syndrome), five confounders (depression, body mass index, smoking initiation, alcohol consumption, and type 2 diabetes), and ED were derived from genome-wide association study (GWAS) data of individuals of European ancestry. The primary analysis technique used was the inverse-variance weighted (IVW) approach. Furthermore, several sensitivity analyses were conducted to evaluate heterogeneity, horizontal pleiotropy, and stability.MR analysis revealed that increased snoring, short sleep, and frequent insomnia, were associated with a higher risk of ED. Furthermore, we found evidence of a significant association between being a morning person and the risk of developing ED. This association persisted in multivariable MR analyses after adjusting for potential confounding factors. Sensitivity analysis suggested that the results were robust with no evidence of pleiotropy or heterogeneity.This study provides further evidence supporting the association between genetically predicted snoring, insomnia, and an increased risk of ED. Additionally, the study highlights the causal relationship of short sleep duration and chronotype with ED.
期刊介绍:
Archives of Medical Science (AMS) publishes high quality original articles and reviews of recognized scientists that deal with all scientific medicine. AMS opens the possibilities for young, capable scientists. The journal would like to give them a chance to have a publication following matter-of-fact, professional review by outstanding, famous medical scientists. Thanks to that they will have an opportunity to present their study results and/or receive useful advice about the mistakes they have made so far.
The second equally important aim is a presentation of review manuscripts of recognized scientists about the educational capacity, in order that young scientists, often at the beginning of their scientific carrier, could constantly deepen their medical knowledge and be up-to-date with current guidelines and trends in world-wide medicine. The fact that our educational articles are written by world-famous scientists determines their innovation and the highest quality.