Evidence map›Paper›PMID 23942359›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2013

A combined metabonomic and proteomic approach identifies frontal cortex changes in a chronic phencyclidine rat model in relation to human schizophrenia brain pathology.

Hendrik Wesseling, Man K Chan, T M Tsang, Agnes Ernst, Fabian Peters, Paul C Guest, Elaine Holmes, Sabine Bahn

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 50 citations in OpenAlex.

  1. Catechol-Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. Investigating the Relationship of Serum CD163, YKL40 and VILIP-1 Levels with Autism Severity and Language-cognitive Development in Preschool Children with Autism.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Article
  4. Review
  5. Spotlight on GOT2 in Cancer Metabolism.OncoTargets and therapy · 2023
    Review
  6. Sex Differences in Psychosis: Focus on Animal Models.Current topics in behavioral neurosciences · 2023
    Review
  7. Metabolomics: A Powerful Tool to Understand the Schizophrenia Biology.Advances in experimental medicine and biology · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Psychiatric disorders biochemical pathways unraveled by human brain proteomics.European archives of psychiatry and clinical neuroscience · 2017
    Review
  13. Review
  14. Engineered 3D Silk-collagen-based Model of Polarized Neural Tissue.Journal of visualized experiments : JoVE · 2015
    Article
  15. Metabolic Profiling and Phenotyping of Central Nervous System Diseases: Metabolites Bring Insights into Brain Dysfunctions.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2015
    Review
  16. Article
  17. Review
  18. The proteome of schizophrenia.NPJ schizophrenia · 2015
    Review
  19. 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

8 authors at 2 institutions in 2 countries.

Hendrik WesselingDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Man K Chan
T M Tsang
Agnes Ernst
Fabian Peters
Paul C Guest
Elaine Holmes
Sabine Bahn
University of Cambridge · GBImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current schizophrenia (SCZ) treatments fail to treat the broad range of manifestations associated with this devastating disorder. Thus, new translational models that reproduce the core pathological features are urgently needed to facilitate novel drug discovery efforts. Here, we report findings from the first comprehensive label-free liquid-mass spectrometry proteomic- and proton nuclear magnetic resonance-based metabonomic profiling of the rat frontal cortex after chronic phencyclidine (PCP) intervention, which induces SCZ-like symptoms. The findings were compared with results from a proteomic profiling of post-mortem prefrontal cortex from SCZ patients and with relevant findings in the literature. Through this approach, we identified proteomic alterations in glutamate-mediated Ca(2+) signaling (Ca(2+)/calmodulin-dependent protein kinase II, PPP3CA, and VISL1), mitochondrial function (GOT2 and PKLR), and cytoskeletal remodeling (ARP3). Metabonomic profiling revealed changes in the levels of glutamate, glutamine, glycine, pyruvate, and the Ca(2+) regulator taurine. Effects on similar pathways were also identified in the prefrontal cortex tissue from human SCZ subjects. The discovery of similar but not identical proteomic and metabonomic alterations in the chronic PCP rat model and human brain indicates that this model recapitulates only some of the molecular alterations of the disease. This knowledge may be helpful in understanding mechanisms underlying psychosis, which, in turn, can facilitate improved therapy and drug discovery for SCZ and other psychiatric diseases. Most importantly, these molecular findings suggest that the combined use of multiple models may be required for more effective translation to studies of human SCZ.

Indexed as

MetabolomicsProteomicsAnimalsBrainDisease Models, AnimalFrontal LobeHumansMagnetic Resonance ImagingMaleMass SpectrometryPhencyclidineRatsRats, Sprague-DawleySchizophreniaPhencyclidine

Identifiers

PMID23942359
PMCPMC3799075
OpenAlexW1996315134

What OpenQuestion holds

Textmetadata
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.