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Predicting response to lisinopril in treating hypertension: a pilot study.
Metabolomics ( IF 3.6 ) Pub Date : 2019-10-03 , DOI: 10.1007/s11306-019-1601-7
Brandon J Sonn 1, 2, 3 , Jessica L Saben 1, 4 , Glenn McWilliams 1 , Shelby K Shelton 1 , Hania K Flaten 1 , Angelo D'Alessandro 5 , Andrew A Monte 1, 2, 3, 6
Affiliation  

INTRODUCTION Only ~ 50% of hypertensive patients will respond to treatment. OBJECTIVE This pilot study aims to identify clinical and metabolite markers that predict response to lisinopril. METHODS Hypertensive patients (n = 45) received lisinopril (10 mg) at their baseline visit. Blood pressures were reevaluated one week later. Responders to lisinopril (n = 19) were defined by a 10% decline in systolic blood pressure. Plasma metabolites were evaluated with mass spectrometry. RESULTS BMI (p = 0.009), GFR (p = 0.015) and 2-oxoglutarate were included in a logistic regression model to predict response to lisinopril. CONCLUSIONS Further validation cohorts are needed to confirm the predictive values of these clinical and metabolic markers.

中文翻译:

预测赖诺普利治疗高血压的反应:一项前瞻性研究。

简介只有约50%的高血压患者会对治疗产生反应。目的这项初步研究旨在鉴定可预测对赖诺普利反应的临床和代谢物标志物。方法高血压患者(n = 45)在基线访视时接受赖诺普利(10 mg)。一周后重新评估血压。赖诺普利(n = 19)的反应者定义为收缩压下降10%。用质谱法评估血浆代谢物。结果BMI(p = 0.009),GFR(p = 0.015)和2-氧戊二酸被纳入logistic回归模型中,以预测对赖诺普利的反应。结论需要进一步的验证队列以确认这些临床和代谢标志物的预测价值。
更新日期:2019-10-03
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