Evidence map›Paper›PMID 27378919›Full record

ArticleFrontiers in pharmacology2016

Pharmacometabolomic Assessment of Metformin in Non-diabetic, African Americans.

Daniel M Rotroff, Noffisat O Oki, Xiaomin Liang, Sook Wah Yee, Sophie L Stocker, Daniel G Corum, Michele Meisner, Oliver Fiehn, Alison A Motsinger-Reif, Kathleen M Giacomini and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Metabolomic Approaches to Investigate the Effect of Metformin: An Overview.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Metabolomics enables precision medicine: "A White Paper, Community Perspective".Metabolomics : Official journal of the Metabolomic Society
    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

11 authors at 5 institutions in 2 countries.

Daniel M RotroffBioinformatics Research Center, North Carolina State UniversityRaleigh, NC, USA; Department of Statistics, North Carolina State UniversityRaleigh, NC, USA.
Noffisat O OkiBioinformatics Research Center, North Carolina State University Raleigh, NC, USA.
Xiaomin LiangDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco San Francisco, CA, USA.
Sook Wah YeeDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco San Francisco, CA, USA.
Sophie L StockerDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco San Francisco, CA, USA.
Daniel G CorumDepartment of Regenerative Medicine and Cell Biology, Medical University of South Carolina Charleston, SC, USA.
Michele MeisnerDepartment of Statistics, North Carolina State University Raleigh, NC, USA.
Oliver FiehnUC Davis Genome Center, University of California DavisDavis, CA, USA; Department of Biochemistry, King Abdulaziz UniversityJeddah, Saudi-Arabia.
Alison A Motsinger-ReifDepartment of Statistics, North Carolina State UniversityRaleigh, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke UniversityDurham, NC, USA.
Kathleen M GiacominiDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco San Francisco, CA, USA.
Rima Kaddurah-DaoukDepartment of Psychiatry and Behavioral Sciences, Duke UniversityDurham, NC, USA; Duke Institute for Brain Sciences, Duke UniversityDurham, NC, USA.
North Carolina State University · USUniversity of California, San Francisco · USDuke University · USKing Abdulaziz University · SAMedical University of South Carolina · US

Funding

PHARMACOGENETICS OF MEMBRANE TRANSPORTERSU01GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIACOMINI, KATHLEEN M · 2000 to 2009
$29.2M
Pharmacogenomics of Membrane TransportersU19GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2010 to 2014
$16.3M
PHARMACEUTICAL SCIENCES AND PHARMACOGENOMICST32GM007175 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, KROETZ, DEANNA L · 1985 to 2021
$7.1M
Equipment Supplement for Discovery of Pharmacogenomic Biomarkers for OATP1B1 and OATP1B3R01GM117163 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FLOREZ, JOSE CARLOS, HEDDERSON, MONIQUE MARIE · 2015 to 2023
$5.5M
UCSF-Stanford Center of Excellence in Regulatory Science and InnovationU01FD004979 · FDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ALTMAN, RUSS BIAGIO, GIACOMINI, KATHLEEN M · 2014 to 2016
$5.4M
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
FDA HHS U01 FD004979NIGMS NIH HHS R01 GM117163NIGMS NIH HHS R24 GM078233NIGMS NIH HHS RC2 GM092729NIGMS NIH HHS T32 GM007175NIGMS NIH HHS U01 GM061390NIGMS NIH HHS U19 GM061390
6 · The paper itself

Abstract

Millions of individuals are diagnosed with type 2 diabetes mellitus (T2D), which increases the risk for a plethora of adverse outcomes including cardiovascular events and kidney disease. Metformin is the most widely prescribed medication for the treatment of T2D; however, its mechanism is not fully understood and individuals vary in their response to this therapy. Here, we use a non-targeted, pharmacometabolomics approach to measure 384 metabolites in 33 non-diabetic, African American subjects dosed with metformin. Three plasma samples were obtained from each subject, one before and two after metformin administration. Validation studies were performed in wildtype mice given metformin. Fifty-four metabolites (including 21 unknowns) were significantly altered upon metformin administration, and 12 metabolites (including six unknowns) were significantly associated with metformin-induced change in glucose (q < 0.2). Of note, indole-3-acetate, a metabolite produced by gut microbes, and 4-hydroxyproline were modulated following metformin exposure in both humans and mice. 2-Hydroxybutanoic acid, a metabolite previously associated with insulin resistance and an early biomarker of T2D, was positively correlated with fasting glucose levels as well as glucose levels following oral glucose tolerance tests after metformin administration. Pathway analysis revealed that metformin administration was associated with changes in a number of metabolites in the urea cycle and in purine metabolic pathways (q < 0.01). Further research is needed to validate the biomarkers of metformin exposure and response identified in this study, and to understand the role of metformin in ammonia detoxification, protein degradation and purine metabolic pathways.

Indexed as

metabolismmetforminpharmacometabolomicsprecision medicine

Identifiers

PMID27378919
PMCPMC4906013
OpenAlexW2420330406

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.