Evidence map›Paper›PMID 23531373›Full record

ReviewGenome medicine2013

Proteomic profiling in schizophrenia: enabling stratification for more effective treatment.

Paul C Guest, Daniel Martins-de-Souza, Emanuel Schwarz, Hassan Rahmoune, Murtada Alsaif, Jakub Tomasik, Christoph W Turck, Sabine Bahn

Open access · goldAbstract readReview
In one paragraph

Review in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Proteomics Research in Schizophrenia.Frontiers in cellular neuroscience · 2016
    Review
  8. The proteome of schizophrenia.NPJ schizophrenia · 2015
    Review
  9. 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

8 authors at 3 institutions in 3 countries.

Paul C GuestDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QT, UK.
Daniel Martins-de-SouzaMax Planck Institute of Psychiatry, Proteomics and Biomarkers, Kraepelinstr. 2-10 80804, Munich, Germany ; Department of Psychiatry, Ludwig-Maximilians-University (LMU), Nussbaumstr. 7, 80336, Munich, Germany ; Laboratório de Neurociências (LIM-27), Instituto de Psiquiatria, Faculdade de Medicina, Universidade de São Paulo, CP 8091 05403-010 São Paulo - SP - Brasil.
Emanuel SchwarzDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QT, UK.
Hassan RahmouneDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QT, UK.
Murtada AlsaifDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QT, UK.
Jakub TomasikDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QT, UK.
Christoph W TurckMax Planck Institute of Psychiatry, Proteomics and Biomarkers, Kraepelinstr. 2-10 80804, Munich, Germany.
Sabine BahnDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QT, UK ; Department of Neuroscience, Erasmus Medical Centre, NL-3000 CA Rotterdam, The Netherlands.
University of Cambridge · GBMax Planck Institute of Psychiatry · DEErasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a heterogeneous psychiatric disorder characterized by an array of clinical manifestations. Although the best known manifestations include serious effects on mood and behavior, patients can also display co-morbidities, including immune system or metabolic abnormalities. Thorough characterization of these conditions using proteomic profiling methods has increased our knowledge of these molecular differences and has helped to unravel the complexity and heterogeneity of this debilitating condition. This could lead to patient stratification through characterization of biochemically different subtypes of the disease. In addition, proteomic methods have recently been used for molecular characterization of the mechanism of action of antipsychotic medications in both preclinical models and patients. This has resulted in identification of molecular panels that show some promise for prediction of response or for monitoring treatment outcome. This review describes how proteomic profiling methods can impact the future of schizophrenia diagnosis and therapeutics, and facilitate personalized medicine approaches for more effective treatment management of schizophrenia patients.

Identifiers

PMID23531373
PMCPMC3706977
OpenAlexW1964919929

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.