Evidence map›Paper›PMID 26783503›Full record

ArticleCPT: pharmacometrics & systems pharmacology2015

Pharmacometabolomic Assessments of Atenolol and Hydrochlorothiazide Treatment Reveal Novel Drug Response Phenotypes.

D M Rotroff, M H Shahin, S B Gurley, H Zhu, A Motsinger-Reif, M Meisner, A L Beitelshees, O Fiehn, J A Johnson, M Elbadawi-Sidhu and 5 more

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Application of omics in hypertension and resistant hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Review
  5. Plasma metabolomic profiles associated with hypertension and blood pressure in response to thiazide diuretics.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Article
  6. Article
  7. Personalizing treatments for patients based on cardiovascular phenotyping.Expert review of precision medicine and drug development · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. The Future of "Omics" in Hypertension.The Canadian journal of cardiology · 2017
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 3 countries.

D M RotroffDepartment of StatisticsNorth Carolina State UniversityRaleighNorth CarolinaUSA; Bioinformatics Research CenterNorth Carolina State UniversityRaleighNorth CarolinaUSA.
M H ShahinDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics University of Florida Gainesville Florida USA.
S B GurleyDepartment of Medicine Duke University Medical Center and Durham Veterans Affairs Medical Center Durham North Carolina USA.
H ZhuDepartment of Psychiatry and Behavioral Sciences Duke University Durham North Carolina USA.
A Motsinger-ReifDepartment of StatisticsNorth Carolina State UniversityRaleighNorth CarolinaUSA; Bioinformatics Research CenterNorth Carolina State UniversityRaleighNorth CarolinaUSA.
M MeisnerBioinformatics Research Center North Carolina State University Raleigh North Carolina USA.
A L BeitelsheesDepartment of Medicine University of Maryland School of Medicine Baltimore Maryland USA.
O FiehnUC Davis Genome CenterUniversity of California DavisDavisCaliforniaUSA; King Abdulaziz UniversityJeddahSaudi-Arabia.
J A JohnsonDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics University of Florida Gainesville Florida USA.
M Elbadawi-SidhuUC Davis Genome Center University of California Davis Davis California USA.
R F FryeDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics University of Florida Gainesville Florida USA.
Y GongDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics University of Florida Gainesville Florida USA.
L WengDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics University of Florida Gainesville Florida USA.
R M Cooper-DeHoffDepartment of Pharmacotherapy and Translational Research and Center for Pharmacogenomics University of Florida Gainesville Florida USA.
R Kaddurah-DaoukDepartment of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA; Duke Institute for Brain SciencesDuke UniversityDurhamNorth CaliforniaUSA.
University of Florida · USNorth Carolina State University · USUniversity of California, Davis · USDuke University · USDurham VA Medical Center · USPharmacoGenetics (China) · CNPiedmont International University · USUniversity of Maryland, Baltimore · US

Funding

Pharmacogenomic Evaluation of Antihypertensive ResponsesU01GM074492 · NIGMS · UNIVERSITY OF FLORIDA · PI COOPER-DEHOFF, RHONDA M, JOHNSON, JULIE A. · 2005 to 2014
$20.7M
West Coast Central Comprehensive Metabolomics Resource Core (WC3MRC)U24DK097154 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2012 to 2017
$9.9M
Renal Genomics CoreP30DK096493 · NIDDK · DUKE UNIVERSITY · PI COFFMAN, THOMAS M · 2012 to 2016
$5.9M
Metabolomics Network for Drug Response PhenotypeRC2GM092729 · NIGMS · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F · 2009 to 2010
$4.5M
Metabolomics Network for Drug Response PhenotypeR24GM078233 · NIGMS · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F · 2007 to 2010
$2.1M
NIDDK NIH HHS P30 DK096493NIDDK NIH HHS U24 DK097154NIGMS NIH HHS R24 GM078233NIGMS NIH HHS RC2 GM092729NIGMS NIH HHS U01 GM074492
6 · The paper itself

Abstract

Achieving hypertension (HTN) control and mitigating the adverse health effects associated with HTN continues to be a global challenge. Some individuals respond poorly to current HTN therapies, and mechanisms for response variation remain poorly understood. We used a nontargeted metabolomics approach (gas chromatography time-of-flight/mass spectrometry gas chromatography time-of-flight/mass spectrometry) measuring 489 metabolites to characterize metabolite signatures associated with treatment response to anti-HTN drugs, atenolol (ATEN), and hydrochlorothiazide (HCTZ), in white and black participants with uncomplicated HTN enrolled in the Pharmacogenomic Evaluation of Antihypertensive Responses study. Metabolite profiles were significantly different between races, and metabolite responses associated with home diastolic blood pressure (HDBP) response were identified. Metabolite pathway analyses identified gluconeogenesis, plasmalogen synthesis, and tryptophan metabolism increases in white participants treated with HCTZ (P < 0.05). Furthermore, we developed predictive models from metabolite signatures of HDBP treatment response (P < 1 × 10(-5)). As part of a quantitative systems pharmacology approach, the metabolites identified herein may serve as biomarkers for improving treatment decisions and elucidating mechanisms driving HTN treatment responses.

Identifiers

PMID26783503
PMCPMC4716583
OpenAlexW2206215606

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.