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循环一氧化氮代谢产物与心脏代谢结局风险:一项前瞻性基于人群的研究。

Circulating nitric oxide metabolites and the risk of cardiometabolic outcomes: a prospective population-based study.

机构信息

a Nutrition and Endocrine Research Center , Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences , Tehran , Iran.

b Endocrine Research Center , Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences , Tehran , Iran.

出版信息

Biomarkers. 2019 Jun;24(4):325-333. doi: 10.1080/1354750X.2019.1567816. Epub 2019 Feb 15.

DOI:10.1080/1354750X.2019.1567816
PMID:30624084
Abstract

This study was conducted to investigate whether serum NO metabolites (NO) could predict the occurrence of type 2 diabetes (T2DM), hypertension (HTN) and metabolic syndrome (MetS). We measured serum NO concentrations in the Tehran Lipid and Glucose Study participants (aged ≥19 years) and followed them for a median of 7.7 years for the incidence of outcomes. To determine the appropriate cut-off points of serum NO for predicting clinical events, a random sampling method (50:50 ratio) was used for the population and for analysis, receiver operator characteristic curve was used. Multivariable Cox proportional hazard models were used to estimate the hazard ratios (HRs) with 95% confidence intervals (95% CIs) of T2DM, HTN and MetS in response to serum NO values. The optimal cut-off points of serum NO levels for predicting T2DM, HTN and MetS were 26.5, 25.5 and 25.5 µmol/L, respectively. Participants with serum NO levels ≥25.5 µmol/L had increased risk of MetS (HR = 1.31, 95% CI = 1.01-1.72). No evidence was found for any association of serum NO with incidence of T2DM and HTN (HR = 1.03, 95% CI = 0.83-1.77 and HR = 1.09, 95% CI = 0.88-1.35). In this prospective population-based investigation, a higher circulating NO was associated with development of MetS.

摘要

本研究旨在探讨血清一氧化氮代谢产物(NO)是否可预测 2 型糖尿病(T2DM)、高血压(HTN)和代谢综合征(MetS)的发生。我们测量了 Tehran Lipid and Glucose Study 参与者(年龄≥19 岁)的血清 NO 浓度,并对其进行了中位 7.7 年的随访,以观察结局的发生。为了确定血清 NO 预测临床事件的适当截断值,采用随机抽样法(50:50 比例)对人群和分析进行分组,同时采用受试者工作特征曲线进行分析。采用多变量 Cox 比例风险模型估计血清 NO 值与 T2DM、HTN 和 MetS 风险比(HR)及 95%置信区间(95%CI)。血清 NO 水平预测 T2DM、HTN 和 MetS 的最佳截断值分别为 26.5、25.5 和 25.5μmol/L。血清 NO 水平≥25.5μmol/L 的患者发生 MetS 的风险增加(HR=1.31,95%CI=1.01-1.72)。但没有证据表明血清 NO 与 T2DM 和 HTN 的发病风险有关(HR=1.03,95%CI=0.83-1.77 和 HR=1.09,95%CI=0.88-1.35)。在这项前瞻性的基于人群的研究中,较高的循环 NO 与 MetS 的发生有关。

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