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循环代谢生物标志物与新发高血压风险:来自英国生物库的研究结果。

Circulating metabolic biomarkers and risk of new-onset hypertension: findings from the UK Biobank.

机构信息

Department of Social Medicine, School of Public Health, Guangxi Medical University, Nanning, Guangxi Province.

Department of Epidemiology and Biostatistics.

出版信息

J Hypertens. 2024 Jun 1;42(6):1066-1074. doi: 10.1097/HJH.0000000000003697. Epub 2024 Feb 19.

Abstract

OBJECTIVE

The evidence regarding the associations of circulating metabolic biomarkers with hypertension risk is scarce. We aimed to examine the associations between circulating metabolites and risk of hypertension.

METHODS

We included 49 422 individuals free of hypertension at baseline with a mean (SD) age of 53.5 (8.0) years from the UK Biobank. Nuclear magnetic resonance spectroscopy was used to quantify 143 individual metabolites. Multivariable-adjusted Cox regression models were used to estimate hazard ratios and 95% confidence intervals (CIs).

RESULTS

During a mean (SD) follow-up of 11.2 (1.8) years, 2686 incident hypertension cases occurred. Out of 143 metabolites, 76 were associated with incident hypertension, among which phenylalanine (hazard ratio: 1.40; 95% CI: 1.24-1.58) and apolipoprotein A1 (hazard ratio: 0.76; 95% CI: 0.66-0.87) had the strongest association when comparing the highest to the lowest quintile. In general, very-low-density lipoprotein (VLDL) particles were positively, whereas high-density lipoprotein (HDL) particles were inversely associated with risk of hypertension. Similar patterns of cholesterol, phospholipids, and total lipids within VLDL and HDL particles were observed. Triglycerides within all lipoproteins were positively associated with hypertension risk. Other metabolites showed significant associations with risk of hypertension included amino acids, fatty acids, ketone bodies, fluid balance and inflammation markers. Adding 10 selected metabolic biomarkers to the traditional hypertension risk model modestly improved discrimination (C-statistic from 0.745 to 0.752, P < 0.001) for prediction of 10-year hypertension incidence.

CONCLUSION

Among UK adults, disturbances in metabolic biomarkers are associated with incident hypertension. Comprehensive metabolomic profiling may provide potential novel biomarkers to identify high-risk individuals.

摘要

目的

关于循环代谢生物标志物与高血压风险之间关联的证据很少。本研究旨在探讨循环代谢物与高血压风险之间的关系。

方法

我们纳入了英国生物库中 49422 名基线时无高血压且平均(标准差)年龄为 53.5(8.0)岁的个体。采用核磁共振波谱法对 143 种个体代谢物进行定量分析。采用多变量调整的 Cox 回归模型来估计风险比和 95%置信区间(CI)。

结果

在平均(标准差)11.2(1.8)年的随访期间,发生了 2686 例高血压事件。在 143 种代谢物中,有 76 种与高血压事件相关,其中苯丙氨酸(风险比:1.40;95%CI:1.24-1.58)和载脂蛋白 A1(风险比:0.76;95%CI:0.66-0.87)在比较最高五分位数和最低五分位数时相关性最强。一般来说,极低密度脂蛋白(VLDL)颗粒与高血压风险呈正相关,而高密度脂蛋白(HDL)颗粒与高血压风险呈负相关。在 VLDL 和 HDL 颗粒中观察到胆固醇、磷脂和总脂质的类似模式。所有脂蛋白中的甘油三酯与高血压风险呈正相关。其他与高血压风险相关的代谢物包括氨基酸、脂肪酸、酮体、体液平衡和炎症标志物。将 10 种选定的代谢生物标志物添加到传统的高血压风险模型中,可适度提高对 10 年高血压发生率的预测能力(C 统计量从 0.745 提高到 0.752,P<0.001)。

结论

在英国成年人中,代谢生物标志物的紊乱与高血压事件相关。全面的代谢组学分析可能为识别高危个体提供潜在的新型生物标志物。

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