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Plasma protein biomarkers for depression and schizophrenia by multi analyte profiling of case-control collections.

Authors :
Enrico Domenici
David R Willé
Federica Tozzi
Inga Prokopenko
Sam Miller
Astrid McKeown
Claire Brittain
Dan Rujescu
Ina Giegling
Christoph W Turck
Florian Holsboer
Edward T Bullmore
Lefkos Middleton
Emilio Merlo-Pich
Robert C Alexander
Pierandrea Muglia
Source :
PLoS ONE, Vol 5, Iss 2, p e9166 (2010)
Publication Year :
2010
Publisher :
Public Library of Science (PLoS), 2010.

Abstract

Despite significant research efforts aimed at understanding the neurobiological underpinnings of psychiatric disorders, the diagnosis and the evaluation of treatment of these disorders are still based solely on relatively subjective assessment of symptoms. Therefore, biological markers which could improve the current classification of psychiatry disorders, and in perspective stratify patients on a biological basis into more homogeneous clinically distinct subgroups, are highly needed. In order to identify novel candidate biological markers for major depression and schizophrenia, we have applied a focused proteomic approach using plasma samples from a large case-control collection. Patients were diagnosed according to DSM criteria using structured interviews and a number of additional clinical variables and demographic information were assessed. Plasma samples from 245 depressed patients, 229 schizophrenic patients and 254 controls were submitted to multi analyte profiling allowing the evaluation of up to 79 proteins, including a series of cytokines, chemokines and neurotrophins previously suggested to be involved in the pathophysiology of depression and schizophrenia. Univariate data analysis showed more significant p-values than would be expected by chance and highlighted several proteins belonging to pathways or mechanisms previously suspected to be involved in the pathophysiology of major depression or schizophrenia, such as insulin and MMP-9 for depression, and BDNF, EGF and a number of chemokines for schizophrenia. Multivariate analysis was carried out to improve the differentiation of cases from controls and identify the most informative panel of markers. The results illustrate the potential of plasma biomarker profiling for psychiatric disorders, when conducted in large collections. The study highlighted a set of analytes as candidate biomarker signatures for depression and schizophrenia, warranting further investigation in independent collections.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
5
Issue :
2
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.ffa57229cd345d5bc9d1e4a410f66f9
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0009166