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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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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. |
format | Text |
id | pubmed-2820097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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