Wang Yuxin, Wang Xiaona, Luo Jinmei, Qiu Bintao, Huang Rong, Xiao Yi
Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Department of Respiratory Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Nat Sci Sleep. 2024 Aug 5;16:1153-1168. doi: 10.2147/NSS.S470154. eCollection 2024.
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.
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.
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.
There are significant metabolic pathway alterations in moderate-to-severe OSA patients. Urinary epinephrine sulfate markedly predicts early cardiovascular risk in OSA patients.
目前尚无理想的指标可用于预测阻塞性睡眠呼吸暂停(OSA)的心血管风险。本研究旨在采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。收集临床资料、多导睡眠图数据和尿液样本。对尿液进行非靶向代谢组学分析。随后进行多变量分析和受试者工作特征(ROC)曲线分析以识别潜在的生物标志物。通过带有交互作用和中介分析的线性回归分析来检验代谢物与临床指标及心血管风险之间的关联。
本研究纳入了36名男性参与者,其中包括22名中重度OSA男性和14名年龄匹配的对照者,平均年龄为39.6±9.2岁。我们在研究中鉴定出65种代谢物,涉及嘧啶、雄激素、雌激素、维生素B6和硫酸盐/亚硫酸盐代谢等途径。其中,硫酸肾上腺素是变化最显著的代谢物。ROC分析表明,硫酸肾上腺素在检测中重度OSA时曲线下面积最大(AUC = 0.883)。硫酸肾上腺素与OSA严重程度、缺氧相关指标(呼吸暂停低通气指数:r = 0.685;氧饱和度下降指数:r = 0.743,p<0.0001)、动脉僵硬度(动脉增强指数:r = 0.361,p = 0.031)以及长期心血管风险(弗雷明汉心血管风险:r = 0.375,p = 0.024)具有统计学相关性。线性回归分析显示,硫酸肾上腺素与弗雷明汉风险增加显著相关(β = 0.004,95%CI = 0.000 - 0.009,p = 0.049),其效应部分由收缩压介导(27.6%),且不受其他因素调节。此外,它还与动脉增强指数增加显著相关(β = 0.019,95%CI = 0.000 - 0.037,p = 0.046),其效应完全由血压介导,且在统计学上不受其他指标调节。
中重度OSA患者存在显著的代谢途径改变。尿硫酸肾上腺素显著预测OSA患者的早期心血管风险。