Evidence map›Paper›PMID 29966242›Full record

ArticleMolecules (Basel, Switzerland)2018

A Pharmacometabolomic Approach to Predict Response to Metformin in Early-Phase Type 2 Diabetes Mellitus Patients.

Jeong-Eun Park, Gui-Hwa Jeong, In-Kyu Lee, Young-Ran Yoon, Kwang-Hyeon Liu, Namyi Gu, Kwang-Hee Shin

Full text read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Characterizing poorly controlled type 2 diabetes usingMetabolomics : Official journal of the Metabolomic Society · 2024
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Application of Metabolomics in Various Types of Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Review
  11. Metabolomic Approaches to Investigate the Effect of Metformin: An Overview.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Article
  14. Progress in Metabonomics of Type 2 Diabetes Mellitus.Molecules (Basel, Switzerland) · 2018
    Review
  15. 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

7 authors.

Jeong-Eun ParkCollege of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 41566, Korea. knu_park@knu.ac.kr.
Gui-Hwa JeongDepartment of Endocrinology, Changwon Fatima Hospital, Changwon 51394, Korea. hyunnii-j@hanmail.net.
In-Kyu LeeDepartment of Endocrinology, Kyungpook National University Hospital, Daegu 41944, Korea. leei@knu.ac.kr.
Young-Ran YoonDepartment of Biomedical Science, BK21 Plus KNU Bio-Medical Convergence Program for Creative Talent, Cell and Matrix Research Institute and Clinical Trial Center, Kyungpook National University Graduate School and Hospital, Daegu 41944, Korea. yry@knu.ac.kr.
Kwang-Hyeon LiuCollege of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 41566, Korea. dstlkh@gmail.com.ORCID 0000-0002-3285-5594
Namyi GuDepartment of Clinical Pharmacology and Therapeutics, Clinical Trial Center, Dongguk University College of Medicine and Ilsan Hospital, Goyang 10326, Korea. namyi.gu@gmail.com.
Kwang-Hee ShinCollege of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu 41566, Korea. kshin@knu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metformin is a first-line medication for type 2 diabetes mellitus (T2DM). Based on its universal use, the consideration of inter-individual variability and development of predictive biomarkers are clinically significant. We aimed to identify endogenous markers of metformin responses using a pharmacometabolomic approach. Twenty-nine patients with early-phase T2DM were enrolled and orally administered metformin daily for 6 months. A total of 22 subjects were included in the final analysis. Patients were defined as responders or non-responders based on changes in their glycated haemoglobin A1c (HbA1c) from baseline, over 3 months. Urine metabolites at baseline, as well as at the 3 and 6 month follow-ups after the start of treatment were analysed using gas chromatography-mass spectrometry and evaluated with multivariate analyses. Metabolites distinguishable between the two response groups were obtained at baseline, as well as at the 3 and 6 month follow-ups, and significantly different metabolites were listed as markers of metformin response. Among the identified metabolites, citric acid, myoinositol, and hippuric acid levels showed particularly significant differences between the non-responder and responder groups. We thus identified different metabolite profiles in the two groups of T2DM patients after metformin administration, using pharmacometabolomics. These results might facilitate a better understanding and prediction of metformin response and its variability in individual patients.

Indexed as

BiomarkersBiological Variation, PopulationBlood GlucoseDiabetes Mellitus, Type 2FemaleGas Chromatography-Mass SpectrometryGlycated HemoglobinHumansHypoglycemic AgentsMaleMetabolic Networks and PathwaysMetabolomicsMetforminMiddle AgedPrognosisROC CurveBiomarkersBlood GlucoseGlycated HemoglobinHypoglycemic AgentsMetformininter-individual variabilitymetforminpharmacometabolomicstype 2 diabetes mellitus

Identifiers

PMID29966242
PMCPMC6100517

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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.