Predicting response to lisinopril in treating hypertension: a pilot study

Metabolomics. 2019 Oct 3;15(10):133. doi: 10.1007/s11306-019-1601-7.

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.

Keywords: 2-Oxoglutarate; ACE/ARB; Hypertension; Lisinopril; Personalized medicine; Precision medicine.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Antihypertensive Agents / blood
  • Antihypertensive Agents / metabolism
  • Antihypertensive Agents / pharmacology*
  • Biomarkers / blood
  • Biomarkers / metabolism
  • Blood Pressure / drug effects
  • Humans
  • Hypertension / blood
  • Hypertension / drug therapy*
  • Hypertension / metabolism
  • Lisinopril / blood
  • Lisinopril / metabolism
  • Lisinopril / pharmacology*
  • Mass Spectrometry
  • Metabolomics
  • Pilot Projects
  • Regression Analysis

Substances

  • Antihypertensive Agents
  • Biomarkers
  • Lisinopril