Altered functional protein networks in the prefrontal cortex and amygdala of victims of suicide
Autor: | Péter Gulyássy, Éva Hunyadi-Gulyás, Zsuzsanna Darula, Attila Simor, Miklós Palkovits, Katalin F. Medzihradszky, Katalin A. Kékesi, András Czurkó, Botond Penke, Éva Mónika Szegő, Gábor Juhász |
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Rok vydání: | 2011 |
Předmět: |
Male
Proteomics Databases Factual Poison control lcsh:Medicine Bioinformatics Brain mapping 0302 clinical medicine Cortex (anatomy) Neurobiology of Disease and Regeneration Protein Isoforms Prefrontal cortex lcsh:Science Cytoskeleton Psychiatry 0303 health sciences Brain Mapping Multidisciplinary Proteomic Databases Systems Biology Brain Middle Aged Amygdala Suicide medicine.anatomical_structure Mental Health Medicine Autopsy Research Article Adult NEFM Prefrontal Cortex Biology 03 medical and health sciences Glial Fibrillary Acidic Protein medicine Humans False Positive Reactions HSPA8 Protein Interactions 030304 developmental biology Aged Models Statistical Mood Disorders lcsh:R Reproducibility of Results Psychoses Membrane protein Schizophrenia lcsh:Q Peptides Neuroscience 030217 neurology & neurosurgery Biomarkers |
Zdroj: | PLoS ONE PLoS ONE, Vol 7, Iss 12, p e50532 (2012) PLoS ONE; Vol 7 |
ISSN: | 1932-6203 |
Popis: | Probing molecular brain mechanisms related to increased suicide risk is an important issue in biological psychiatry research. Gene expression studies on post mortem brains indicate extensive changes prior to a successful suicide attempt; however, proteomic studies are scarce. Thus, we performed a DIGE proteomic analysis of post mortem tissue samples from the prefrontal cortex and amygdala of suicide victims to identify protein changes and biomarker candidates of suicide. Among our matched spots we found 46 and 16 significant differences in the prefrontal cortex and amygdala, respectively; by using the industry standard t test and 1.3 fold change as cut off for significance. Because of the risk of false discoveries (FDR) in these data, we also made FDR adjustment by calculating the q-values for all the t tests performed and by using 0.06 and 0.4 as alpha thresholds we reduced the number of significant spots to 27 and 9 respectively. From these we identified 59 proteins in the cortex and 11 proteins in the amygdala. These proteins are related to biological functions and structures such as metabolism, the redox system, the cytoskeleton, synaptic function, and proteolysis. Thirteen of these proteins (CBR1, DPYSL2, EFHD2, FKBP4, GFAP, GLUL, HSPA8, NEFL, NEFM, PGAM1, PRDX6, SELENBP1 and VIM,) have already been suggested to be biomarkers of psychiatric disorders at protein or genome level. We also pointed out 9 proteins that changed in both the amygdala and the cortex, and from these, GFAP, INA, NEFL, NEFM and TUBA1 are interacting cytoskeletal proteins that have a functional connection to glutamate, GABA, and serotonin receptors. Moreover, ACTB, CTSD and GFAP displayed opposite changes in the two examined brain structures that might be a suitable characteristic for brain imaging studies. The opposite changes of ACTB, CTSD and GFAP in the two brain structures were validated by western blot analysis. |
Databáze: | OpenAIRE |
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