Urinary Epinephrine Sulfate Can Predict Cardiovascular Risk in Moderate-to-Severe OSA: A Metabolomics-Based Study.

IF 3 2区 医学 Q2 CLINICAL NEUROLOGY
Nature and Science of Sleep Pub Date : 2024-08-05 eCollection Date: 2024-01-01 DOI:10.2147/NSS.S470154
Yuxin Wang, Xiaona Wang, Jinmei Luo, Bintao Qiu, Rong Huang, Yi Xiao
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引用次数: 0

Abstract

Purpose: There are currently no ideal indicators for predicting the cardiovascular risk of obstructive sleep apnea (OSA). This study aimed to employ urinary metabolomics to detect early cardiovascular risk in patients with moderate-to-severe OSA.

Patients and methods: Male participants who underwent polysomnography from November 2020 to May 2021 were screened. Clinical data, polysomnography data and urine samples were collected. Untargeted metabolomics analyses of urine were performed. Multivariate analyses and receiver operating characteristic (ROC) curve analyses were subsequently performed to identify potential biomarkers. Associations between metabolites and clinical indicators and cardiovascular risk were examined through linear regression analyses with interaction and mediation analyses.

Results: Thirty-six male participants were included in the study, comprising 22 males with moderate-to-severe OSA and 14 age-matched controls, with an average age of 39.6 ± 9.2 years. We identified 65 metabolites in the study, involving pathways including pyrimidine, androgen, estrogen, vitamin B6 and sulfate/sulfite metabolism. Among them, epinephrine sulfate was the most significantly altered metabolite. ROC analyses highlighted that epinephrine sulfate had the highest area under the curve (AUC=0.883) for detecting moderate-to-severe OSA. Epinephrine sulfate was statistically correlated with OSA severity, hypoxia-related indicators (apnea-hypopnea index: r=0.685; oxygen desaturation index: r=0.743, p<0.0001), arterial stiffness (arterial augmentation index: r=0.361, p=0.031) and long-term cardiovascular risk (Framingham cardiovascular risk: r=0.375, p=0.024). Linear regression analysis revealed that epinephrine sulfate was significantly associated with an increased in the Framingham risk (β = 0.004, 95% CI = 0.000-0.009, p = 0.049), with the effect partly mediated by systolic blood pressure (27.6%) and not moderated by other factors. Additionally, it also significantly associated with the increased in the arterial augmentation index (β = 0.019, 95% CI = 0.000-0.037, p = 0.046), with the effect fully mediated by blood pressure and not moderated by other indices statistically.

Conclusion: There are significant metabolic pathway alterations in moderate-to-severe OSA patients. Urinary epinephrine sulfate markedly predicts early cardiovascular risk in OSA patients.

尿液中的硫酸肾上腺素可预测中重度 OSA 患者的心血管风险:一项基于代谢组学的研究。
目的:目前还没有理想的指标来预测阻塞性睡眠呼吸暂停(OSA)的心血管风险。本研究旨在利用尿液代谢组学检测中重度OSA患者的早期心血管风险:筛选2020年11月至2021年5月期间接受多导睡眠图检查的男性参与者。收集临床数据、多导睡眠图数据和尿样。对尿液进行非靶向代谢组学分析。随后进行了多变量分析和接收器操作特征曲线(ROC)分析,以确定潜在的生物标志物。代谢物与临床指标和心血管风险之间的关系通过线性回归分析以及交互和中介分析进行了研究:研究共纳入 36 名男性参与者,包括 22 名中重度 OSA 男性患者和 14 名年龄匹配的对照组患者,平均年龄为 39.6 ± 9.2 岁。我们在研究中发现了 65 种代谢物,涉及的途径包括嘧啶、雄激素、雌激素、维生素 B6 和硫酸盐/亚硫酸盐代谢。其中,硫酸肾上腺素是变化最明显的代谢物。ROC 分析显示,硫酸肾上腺素在检测中度至重度 OSA 方面具有最高的曲线下面积(AUC=0.883)。硫酸肾上腺素与 OSA 的严重程度、缺氧相关指标(呼吸暂停-低通气指数:r=0.685;氧饱和度指数:r=0.743,p)呈统计学相关性:中度至重度 OSA 患者的代谢途径发生了重大改变。尿液中的硫酸肾上腺素可显著预测 OSA 患者的早期心血管风险。
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来源期刊
Nature and Science of Sleep
Nature and Science of Sleep Neuroscience-Behavioral Neuroscience
CiteScore
5.70
自引率
5.90%
发文量
245
审稿时长
16 weeks
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.
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