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
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