Trial reportPloS one2017
Effects of four different antihypertensive drugs on plasma metabolomic profiles in patients with essential hypertension.
Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05719714 (Effect of Dapagliflozin on Metabolomics and Cardiac Mechanics in Chronic Kidney Disease), which is not on this map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of Dapagliflozin on Metabolomics and Cardiac Mechanics in Chronic Kidney Disease
Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- Integrated metabolomics analysis reveals mechanistic insights into variability in blood pressure response to thiazide diuretics and beta blockers.Clinical and translational science · 2024Trial
- Association of plasma acylcarnitines and amino acids with hypertension: A nationwide metabolomics study.PloS one · 2023Trial
- Urate-lowering effects of losartan: a meta-analysis of randomised controlled trials and target trial emulation.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- Metabolomics and Precision Medicine in Resistant Hypertension: Pathophysiological Insights, Biomarker Discovery, and Translational Strategies.International journal of hypertension · 2026Review
- Influence of Genetic West African Ancestry on Metabolomics among Hypertensive Patients.Metabolites · 2022Article
- Pharmacometabolomic study of drug response to antihypertensive medications for hypertension marker identification in Han Chinese individuals in Taiwan.Computational and structural biotechnology journal · 2022Article
- Multiomics signatures of type 1 diabetes with and without albuminuria.Frontiers in endocrinology · 2022Article
- Metabolic Profiling and Metabolites Fingerprints in Human Hypertension: Discovery and Potential.Metabolites · 2021Review
- Effect of Yishenjiangyafang on Plasma Metabolomics in Senile Spontaneously Hypertensive Rats.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Metabolic Impairment in Coronary Artery Disease: Elevated Serum Acylcarnitines Under the Spotlights.Frontiers in cardiovascular medicine · 2021Article
- Metabolomics of Interstitial Fluid, Plasma and Urine in Patients with Arterial Hypertension: New Insights into the Underlying Mechanisms.Diagnostics (Basel, Switzerland) · 2020Article
- Urbanization in China is associated with pronounced perturbation of plasma metabolites.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- Genomic Determinants of Hypertension With a Focus on Metabolomics and the Gut Microbiome.American journal of hypertension · 2020Review
- Sexual Dimorphism of Metabolomic Profile in Arterial Hypertension.Scientific reports · 2020Article
- Metabolite Changes in Maternal and Fetal Plasma Following Spontaneous Labour at Term in Humans Using Untargeted Metabolomics Analysis: A Pilot Study.International journal of environmental research and public health · 2019Article
- An Overview of Metabolic Phenotyping in Blood Pressure Research.Current hypertension reports · 2018Review
- Untargeted Metabolic Profiling of Cat Urine and Plasma in Hypertension.Journal of veterinary internal medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIn order to search for metabolic biomarkers of antihypertensive drug responsiveness, we measured >600 biochemicals in plasma samples of subjects participating in the GENRES Study. Hypertensive men received in a double-blind rotational fashion amlodipine, bisoprolol, hydrochlorothiazide and losartan, each as a monotherapy for one month, with intervening one-month placebo cycles.
methodsMetabolomic analysis was carried out using ultra high performance liquid chromatography-tandem mass spectrometry. Full metabolomic signatures (the drug cycles and the mean of the 3 placebo cycles) became available in 38 to 42 patients for each drug. Blood pressure was monitored by 24-h recordings.
resultsAmlodipine (P values down to 0.002), bisoprolol (P values down to 2 x 10-5) and losartan (P values down to 2 x 10-4) consistently decreased the circulating levels of long-chain acylcarnitines. Bisoprolol tended to decrease (P values down to 0.002) the levels of several medium- and long-chain fatty acids. Hydrochlorothiazide administration was associated with an increase of plasma uric acid level (P = 5 x 10-4) and urea cycle metabolites. Decreases of both systolic (P = 0.06) and diastolic (P = 0.04) blood pressure after amlodipine administration tended to associate with a decrease of plasma hexadecanedioate, a dicarboxylic fatty acid recently linked to blood pressure regulation.
conclusionsAlthough this systematic metabolomics study failed to identify circulating metabolites convincingly predicting favorable antihypertensive response to four different drug classes, it provided accumulating evidence linking fatty acid metabolism to human hypertension.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.