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Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients

Major depressive disorder (MDD) is a leading cause of disability worldwide and results tragically in the loss of almost one million lives in Western societies every year. This is due to poor understanding of the disease pathophysiology and lack of empirical medical tests for accurate diagnosis or fo...

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Autores principales: Martins-de-Souza, D, Guest, P C, Harris, L W, Vanattou-Saifoudine, N, Webster, M J, Rahmoune, H, Bahn, S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3309534/
https://www.ncbi.nlm.nih.gov/pubmed/22832852
http://dx.doi.org/10.1038/tp.2012.13
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author Martins-de-Souza, D
Guest, P C
Harris, L W
Vanattou-Saifoudine, N
Webster, M J
Rahmoune, H
Bahn, S
author_facet Martins-de-Souza, D
Guest, P C
Harris, L W
Vanattou-Saifoudine, N
Webster, M J
Rahmoune, H
Bahn, S
author_sort Martins-de-Souza, D
collection PubMed
description Major depressive disorder (MDD) is a leading cause of disability worldwide and results tragically in the loss of almost one million lives in Western societies every year. This is due to poor understanding of the disease pathophysiology and lack of empirical medical tests for accurate diagnosis or for guiding antidepressant treatment strategies. Here, we have used shotgun proteomics in the analysis of post-mortem dorsolateral prefrontal cortex brain tissue from 24 MDD patients and 12 matched controls. Brain proteomes were pre-fractionated by gel electrophoresis and further analyzed by shotgun data-independent label-free liquid chromatography-mass spectrometry. This led to identification of distinct proteome fingerprints between MDD and control subjects. Some of these differences were validated by Western blot or selected reaction monitoring mass spectrometry. This included proteins associated with energy metabolism and synaptic function and we also found changes in the histidine triad nucleotide-binding protein 1 (HINT1), which has been implicated recently in regulation of mood and behavior. We also found differential proteome profiles in MDD with (n=11) and without (n=12) psychosis. Interestingly, the psychosis fingerprint showed a marked overlap to changes seen in the brain proteome of schizophrenia patients. These findings suggest that it may be possible to contribute to the disease understanding by distinguishing different subtypes of MDD based on distinct brain proteomic profiles.
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spelling pubmed-33095342012-04-03 Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients Martins-de-Souza, D Guest, P C Harris, L W Vanattou-Saifoudine, N Webster, M J Rahmoune, H Bahn, S Transl Psychiatry Original Article Major depressive disorder (MDD) is a leading cause of disability worldwide and results tragically in the loss of almost one million lives in Western societies every year. This is due to poor understanding of the disease pathophysiology and lack of empirical medical tests for accurate diagnosis or for guiding antidepressant treatment strategies. Here, we have used shotgun proteomics in the analysis of post-mortem dorsolateral prefrontal cortex brain tissue from 24 MDD patients and 12 matched controls. Brain proteomes were pre-fractionated by gel electrophoresis and further analyzed by shotgun data-independent label-free liquid chromatography-mass spectrometry. This led to identification of distinct proteome fingerprints between MDD and control subjects. Some of these differences were validated by Western blot or selected reaction monitoring mass spectrometry. This included proteins associated with energy metabolism and synaptic function and we also found changes in the histidine triad nucleotide-binding protein 1 (HINT1), which has been implicated recently in regulation of mood and behavior. We also found differential proteome profiles in MDD with (n=11) and without (n=12) psychosis. Interestingly, the psychosis fingerprint showed a marked overlap to changes seen in the brain proteome of schizophrenia patients. These findings suggest that it may be possible to contribute to the disease understanding by distinguishing different subtypes of MDD based on distinct brain proteomic profiles. Nature Publishing Group 2012-03 2012-03-13 /pmc/articles/PMC3309534/ /pubmed/22832852 http://dx.doi.org/10.1038/tp.2012.13 Text en Copyright © 2012 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Original Article
Martins-de-Souza, D
Guest, P C
Harris, L W
Vanattou-Saifoudine, N
Webster, M J
Rahmoune, H
Bahn, S
Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients
title Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients
title_full Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients
title_fullStr Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients
title_full_unstemmed Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients
title_short Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients
title_sort identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3309534/
https://www.ncbi.nlm.nih.gov/pubmed/22832852
http://dx.doi.org/10.1038/tp.2012.13
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