Literature DB >> 35930222

Postmortem Brains: What Can Proteomics Tell us About the Sources of Schizophrenia?

Guilherme Reis-de-Oliveira1, Bradley J Smith2, Daniel Martins-de-Souza2,3,4,5.   

Abstract

Modeling schizophrenia is challenging due to the uniquely human component of psychiatric disorders. Despite several advances in cellular and animal modeling, postmortem brain tissue derived from patients is still one of the extremely few sources of information that comprises brain complexity, human genetics, and patient experiences. Additionally, postmortem tissue from patients with schizophrenia can be used to drive hypotheses that can then be validated in other models, involving either other animals or an in vitro approach. While evaluating high-throughput and sensitive techniques, shotgun proteomics allows for the identification and quantitation of thousands of proteins present in biological systems. In the context of schizophrenia, proteomics can map differentially regulated proteins throughout brain regions of patients with schizophrenia, generating a large amount of information regarding the disorder's pathophysiology. In this chapter, our aim is to bring the literature up to date regarding proteomics tools applied to postmortem brains from patients with schizophrenia, additionally discussing new findings, roads, and perspectives for the comprehension of this severe disorder.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  Database; Postmortem; Proteomics; Psychiatry; Schizophrenia; Systems biology

Mesh:

Year:  2022        PMID: 35930222     DOI: 10.1007/978-3-030-97182-3_1

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   3.650


  43 in total

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2.  Microglial Activity in People at Ultra High Risk of Psychosis and in Schizophrenia: An [(11)C]PBR28 PET Brain Imaging Study.

Authors:  Peter S Bloomfield; Sudhakar Selvaraj; Vincenzo de Paola; Oliver D Howes; Mattia Veronese; Gaia Rizzo; Alessandra Bertoldo; David R Owen; Michael Ap Bloomfield; Ilaria Bonoldi; Nicola Kalk; Federico Turkheimer; Philip McGuire
Journal:  Am J Psychiatry       Date:  2015-10-16       Impact factor: 18.112

3.  Mental health: On the spectrum.

Authors:  David Adam
Journal:  Nature       Date:  2013-04-25       Impact factor: 49.962

Review 4.  Proteomic and interactomic insights into the molecular basis of cell functional diversity.

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Journal:  Nat Rev Mol Cell Biol       Date:  2020-03-31       Impact factor: 94.444

5.  Accelerated Gray and White Matter Deterioration With Age in Schizophrenia.

Authors:  Vanessa L Cropley; Paul Klauser; Rhoshel K Lenroot; Jason Bruggemann; Suresh Sundram; Chad Bousman; Avril Pereira; Maria A Di Biase; Thomas W Weickert; Cynthia Shannon Weickert; Christos Pantelis; Andrew Zalesky
Journal:  Am J Psychiatry       Date:  2016-12-06       Impact factor: 18.112

Review 6.  The NMDA Receptor and Schizophrenia: From Pathophysiology to Treatment.

Authors:  D T Balu
Journal:  Adv Pharmacol       Date:  2016-03-04

7.  An automated method for finding molecular complexes in large protein interaction networks.

Authors:  Gary D Bader; Christopher W V Hogue
Journal:  BMC Bioinformatics       Date:  2003-01-13       Impact factor: 3.169

8.  Paul Eugen Bleuler and the origin of the term schizophrenia (SCHIZOPRENIEGRUPPE).

Authors:  Ahbishekh Hulegar Ashok; John Baugh; Vikram K Yeragani
Journal:  Indian J Psychiatry       Date:  2012-01       Impact factor: 1.759

9.  The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition.

Authors:  Eric W Deutsch; Attila Csordas; Zhi Sun; Andrew Jarnuczak; Yasset Perez-Riverol; Tobias Ternent; David S Campbell; Manuel Bernal-Llinares; Shujiro Okuda; Shin Kawano; Robert L Moritz; Jeremy J Carver; Mingxun Wang; Yasushi Ishihama; Nuno Bandeira; Henning Hermjakob; Juan Antonio Vizcaíno
Journal:  Nucleic Acids Res       Date:  2016-10-18       Impact factor: 16.971

Review 10.  The prevalence of psychosis in epilepsy; a systematic review and meta-analysis.

Authors:  Maurice J Clancy; Mary C Clarke; Dearbhla J Connor; Mary Cannon; David R Cotter
Journal:  BMC Psychiatry       Date:  2014-03-13       Impact factor: 3.630

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