Predicting response to lisinopril in treating hypertension: a pilot study.
2-Oxoglutarate
ACE/ARB
Hypertension
Lisinopril
Personalized medicine
Precision medicine
Journal
Metabolomics : Official journal of the Metabolomic Society
ISSN: 1573-3890
Titre abrégé: Metabolomics
Pays: United States
ID NLM: 101274889
Informations de publication
Date de publication:
03 10 2019
03 10 2019
Historique:
received:
28
05
2019
accepted:
27
09
2019
entrez:
5
10
2019
pubmed:
5
10
2019
medline:
2
6
2020
Statut:
epublish
Résumé
Only ~ 50% of hypertensive patients will respond to treatment. This pilot study aims to identify clinical and metabolite markers that predict response to lisinopril. 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. BMI (p = 0.009), GFR (p = 0.015) and 2-oxoglutarate were included in a logistic regression model to predict response to lisinopril. Further validation cohorts are needed to confirm the predictive values of these clinical and metabolic markers.
Identifiants
pubmed: 31583478
doi: 10.1007/s11306-019-1601-7
pii: 10.1007/s11306-019-1601-7
pmc: PMC6815665
mid: NIHMS1053912
doi:
Substances chimiques
Antihypertensive Agents
0
Biomarkers
0
Lisinopril
E7199S1YWR
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
133Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR002535
Pays : United States
Organisme : NIGMS NIH HHS
ID : K23 GM110516
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM124939
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001082
Pays : United States
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