Abstract
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.
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Funding
This study was funded by the National Institutes of Health (NIH R35GM124939, NIH K23 GM110516, and NIH CCTSI UL1 TR001082)
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AAM conceived and designed research. BJS, JLS, GM, SS, HKF, AD, and AAM conducted experiments. AD contributed new reagents or analytical tools. BJS, JLS and AD analyzed data. BJS and JLS wrote the manuscript. All authors read and approved the manuscript.
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None of the authors have any conflicts of interest to disclose.
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All procedures were performed in accordance with the ethical standards of the institutional research committee (COMIRB protocol# 13-3174) and with the 1964 Helsinki declaration and its later amendments. Informed consent was obtained from all participants included in the study.
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Sonn, B.J., Saben, J.L., McWilliams, G. et al. Predicting response to lisinopril in treating hypertension: a pilot study. Metabolomics 15, 133 (2019). https://doi.org/10.1007/s11306-019-1601-7
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DOI: https://doi.org/10.1007/s11306-019-1601-7