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Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections

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 i...

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Autores principales: Domenici, Enrico, Willé, David R., Tozzi, Federica, Prokopenko, Inga, Miller, Sam, McKeown, Astrid, Brittain, Claire, Rujescu, Dan, Giegling, Ina, Turck, Christoph W., Holsboer, Florian, Bullmore, Edward T., Middleton, Lefkos, Merlo-Pich, Emilio, Alexander, Robert C., Muglia, Pierandrea
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820097/
https://www.ncbi.nlm.nih.gov/pubmed/20161799
http://dx.doi.org/10.1371/journal.pone.0009166
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author Domenici, Enrico
Willé, David R.
Tozzi, Federica
Prokopenko, Inga
Miller, Sam
McKeown, Astrid
Brittain, Claire
Rujescu, Dan
Giegling, Ina
Turck, Christoph W.
Holsboer, Florian
Bullmore, Edward T.
Middleton, Lefkos
Merlo-Pich, Emilio
Alexander, Robert C.
Muglia, Pierandrea
author_facet Domenici, Enrico
Willé, David R.
Tozzi, Federica
Prokopenko, Inga
Miller, Sam
McKeown, Astrid
Brittain, Claire
Rujescu, Dan
Giegling, Ina
Turck, Christoph W.
Holsboer, Florian
Bullmore, Edward T.
Middleton, Lefkos
Merlo-Pich, Emilio
Alexander, Robert C.
Muglia, Pierandrea
author_sort Domenici, Enrico
collection PubMed
description 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.
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spelling pubmed-28200972010-02-17 Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections Domenici, Enrico Willé, David R. Tozzi, Federica Prokopenko, Inga Miller, Sam McKeown, Astrid Brittain, Claire Rujescu, Dan Giegling, Ina Turck, Christoph W. Holsboer, Florian Bullmore, Edward T. Middleton, Lefkos Merlo-Pich, Emilio Alexander, Robert C. Muglia, Pierandrea PLoS One Research Article 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. Public Library of Science 2010-02-11 /pmc/articles/PMC2820097/ /pubmed/20161799 http://dx.doi.org/10.1371/journal.pone.0009166 Text en Domenici et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Domenici, Enrico
Willé, David R.
Tozzi, Federica
Prokopenko, Inga
Miller, Sam
McKeown, Astrid
Brittain, Claire
Rujescu, Dan
Giegling, Ina
Turck, Christoph W.
Holsboer, Florian
Bullmore, Edward T.
Middleton, Lefkos
Merlo-Pich, Emilio
Alexander, Robert C.
Muglia, Pierandrea
Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections
title Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections
title_full Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections
title_fullStr Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections
title_full_unstemmed Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections
title_short Plasma Protein Biomarkers for Depression and Schizophrenia by Multi Analyte Profiling of Case-Control Collections
title_sort plasma protein biomarkers for depression and schizophrenia by multi analyte profiling of case-control collections
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820097/
https://www.ncbi.nlm.nih.gov/pubmed/20161799
http://dx.doi.org/10.1371/journal.pone.0009166
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