Evidence map›Paper›PMID 23577129›Full record

ArticlePloS one2013

Metabolomic analysis reveals metabolic disturbance in the cortex and hippocampus of subchronic MK-801 treated rats.

Liya Sun, Juan Li, Kejun Zhou, Ming Zhang, Jinglei Yang, Yang Li, Baohu Ji, Zhao Zhang, Hui Zhu, Lun Yang and 10 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. 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
1.4field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Toxicological Differences Between NMDA Receptor Antagonists and Cholinesterase Inhibitors.American journal of Alzheimer's disease and other dementias · 2016
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  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

20 authors at 6 institutions in 2 countries.

Liya SunBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, PR China.
Juan Li
Kejun Zhou
Ming Zhang
Jinglei Yang
Yang Li
Baohu Ji
Zhao Zhang
Hui Zhu
Lun Yang
Guang He
Linghan Gao
Zhiyun Wei
Kejian Wang
Xue Han
Weiqing Liu
Liwen Tan
Yihua Yu
Lin He
Chunling Wan
Shanghai Institutes for Biological Sciences · CNChinese Academy of Sciences · CNShanghai Jiao Tong University · CNCentral South University · CNAnimal, Food and Health Sciences · AUEast China Normal University · CN

Funding

Chronic Intermittent Ethanol and Kv4.2 ChannelsR01AA022701 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI CHANDLER, L JUDSON · 2015 to 2019
$1.7M
NIAAA NIH HHS R01 AA022701
6 · The paper itself

Abstract

backgroundAlthough a number of proteins and genes relevant to schizophrenia have been identified in recent years, few are known about the exact metabolic pathway involved in this disease. Our previous proteomic study has revealed the energy metabolism abnormality in subchronic MK-801 treated rat, a well-established animal model for schizophrenia. This prompted us to further investigate metabolite levels in the same rat model to better delineate the metabolism dysfunctions and provide insights into the pathology of schizophrenia.

methodsMetabolomics, a high-throughput investigatory strategy developed in recent years, can offer comprehensive metabolite-level insights that complement protein and genetic findings. In this study, we employed a nondestructive metabolomic approach (1H-MAS-NMR) to investigate the metabolic traits in cortex and hippocampus of MK-801 treated rats. Multivariate statistics and ingenuity pathways analyses (IPA) were applied in data processing. The result was further integrated with our previous proteomic findings by IPA analysis to obtain a systematic view on our observations.

resultsClear distinctions between the MK-801 treated group and the control group in both cortex and hippocampus were found by OPLS-DA models (with R(2)X = 0.441, Q(2)Y = 0.413 and R(2)X = 0.698, Q(2)Y = 0.677, respectively). The change of a series of metabolites accounted for the separation, such as glutamate, glutamine, citrate and succinate. Most of these metabolites fell in a pathway characterized by down-regulated glutamate synthesis and disturbed Krebs cycle. IPA analysis further confirmed the involvement of energy metabolism abnormality induced by MK-801 treatment.

conclusionsOur metabolomics findings reveal systematic changes in pathways of glutamate metabolism and Krebs cycle in the MK-801 treated rats' cortex and hippocampus, which confirmed and improved our previous proteomic observation and served as a valuable reference to the etiology research of schizophrenia.

Indexed as

MetabolomicsAnimalsDizocilpine MaleateEnergy MetabolismGlutamic AcidHippocampusHomeostasisMaleNerve NetRatsRats, Sprague-DawleyReceptors, N-Methyl-D-AspartateTime FactorsDizocilpine MaleateGlutamic AcidReceptors, N-Methyl-D-Aspartate

Identifiers

PMID23577129
PMCPMC3618452
OpenAlexW2062099857

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.