Evidence map›Paper›PMID 25678776›Full record

ArticleDrug design, development and therapy2015

Urine metabolomics in rats after administration of ketamine.

Congcong Wen, Meiling Zhang, Jianshe Ma, Lufeng Hu, Xianqin Wang, Guanyang Lin

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Effects of Ketamine on Metabolomics of Serum and Urine in Cynomolgus Macaques (Macaca fascicularis).Journal of the American Association for Laboratory Animal Science : JAALAS · 2016
    Article
  5. Article
  6. Metabolomics analysis in rats after administration of Datura stramonium.International journal of clinical and experimental medicine · 2015
    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

6 authors at 3 institutions in 1 country.

Congcong WenLaboratory Animal Centre, Wenzhou, People's Republic of China.
Meiling ZhangAnalytical and Testing Center, Wenzhou, People's Republic of China.
Jianshe MaAnalytical and Testing Center, Wenzhou, People's Republic of China.
Lufeng HuFirst Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.
Xianqin WangAnalytical and Testing Center, Wenzhou, People's Republic of China.
Guanyang LinFirst Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.
Analysis and Testing Centre · CNWenzhou Medical University · CNWenzhou City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we developed a urine metabonomic method, based on gas chromatography-mass spectrometry (GC-MS), to evaluate the effect of ketamine on rats. Pattern recognition analysis, including both principal component analysis and partial least squares discriminate analysis revealed that ketamine (50 mg/kg) induced metabolic perturbations. Compared with the control group, at day 7, the level of alanine, butanoic acid, glutamine, butanedioic, trimethylsiloxy, L-aspartic acid, D-glucose, cholesterol, acetamide, and oleic acid of the ketamine group was increased, while the level of 2,3,4-trihydroxybutyric acid, benzeneacetic acid, threitol, ribitol, xylitol, and glycine decreased. At day 14, the level of alanine, ethanedioic acid, L-proline, glycerol, tetradecanoic acid, l-serine, l-phenylalanine, L-aspartic acid, d-glucose, cholesterol, heptadecanoic acid, and acetamide in rat urine of the ketamine group was increased, while the 2,3,4-trihydroxybutyric acid, benzeneacetic acid, d-ribose, threitol, ribitol, glycine, pyrazine, and oleic acid levels decreased. Our results indicate that metabonomic methods based on GC-MS may be useful to elucidate ketamine abuse, through the exploration of biomarkers.

Indexed as

MetabolomicsAnimalsBiomarkersBiotransformationExcitatory Amino Acid AntagonistsGas Chromatography-Mass SpectrometryInjections, IntraperitonealKetamineLeast-Squares AnalysisMalePattern Recognition, AutomatedPrincipal Component AnalysisRats, Sprague-DawleySubstance Abuse DetectionBiomarkersExcitatory Amino Acid AntagonistsKetamineabusebiomarkerGC-MSmetabolite

Identifiers

PMID25678776
PMCPMC4322951
OpenAlexW2062975150

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.