Evidence map›Paper›PMID 32133322›Full record

ArticleTranslational and clinical pharmacology2017

Metabolomic analysis of healthy human urine following administration of glimepiride using a liquid chromatography-tandem mass spectrometry.

Eun Young Do, Mi-Ri Gwon, Bo Kyung Kim, Boram Ohk, Hae Won Lee, Woo Youl Kang, Sook Jin Seong, Hyun-Ju Kim, Young-Ran Yoon

Open access · diamondAbstract read
In one paragraph

Article in Translational and clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

9 authors at 1 institution in 1 country.

Eun Young DoDepartment 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.
Mi-Ri GwonDepartment 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.
Bo Kyung KimDepartment 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.
Boram OhkDepartment 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.
Hae Won LeeDepartment 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.
Woo Youl KangDepartment 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.
Sook Jin SeongDepartment 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.
Hyun-Ju KimDepartment 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.
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.
National University · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glimepiride, a third generation sulfonylurea, is an antihyperglycemic agent widely used to treat type 2 diabetes mellitus. In this study, an untargeted urinary metabolomic analysis was performed to identify endogenous metabolites affected by glimepiride administration. Urine samples of twelve healthy male volunteers were collected before and after administration of 2 mg glimepiride. These samples were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS), and then subjected to multivariate data analysis including principal component analysis and orthogonal partial least squares discriminant analysis. Through this metabolomic profiling, we identified several endogenous metabolites such as adenosine 3', 5'-cyclic monophosphate (cAMP), quercetin, tyramine, and urocanic acid, which exhibit significant metabolomic changes between pre- and posturine samples. Among these, cAMP, which is known to be related to insulin secretion, was the most significantly altered metabolite following glimepiride administration. In addition, the pathway analysis showed that purine, tyrosine, and histidine metabolism was affected by pharmacological responses to glimepiride. Together, the results suggest that the pharmacometabolomic approach, based on LC-MS/MS, is useful in understanding the alterations in biochemical pathways associated with glimepiride action.

Indexed as

glimepirideliquid chromatographytandem mass spectrometrymetabolomic profiling

Identifiers

PMID32133322
PMCPMC7042006
OpenAlexW2691899715

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.