scholarly journals Changes in Glial Gene Expression in the Prefrontal Cortex in Relation to Major Depressive Disorder, Suicide and Psychotic Features

Author(s):  
Lin Zhang ◽  
Ronald W.H. Verwer ◽  
Juan Zhao ◽  
Inge Huitinga ◽  
Paul J. Lucassen ◽  
...  
2011 ◽  
Vol 186 (1) ◽  
pp. 156-157
Author(s):  
Jean-Raymond Teyssier ◽  
Sylviane Ragot ◽  
Jean-Christophe Chauvet-Gélinier ◽  
Benoit Trojak ◽  
Bernard Bonin

2020 ◽  
Author(s):  
Blanca Diaz-Castro ◽  
Alexander M. Bernstein ◽  
Giovanni Coppola ◽  
Michael V. Sofroniew ◽  
Baljit S. Khakh

AbstractAstrocytes are widely implicated in CNS diseases, but their contributions to disease related phenotypes remain incompletely explored. Anhedonia accompanies several neurological and psychiatric diseases, including major depressive disorder (MDD) and Alzheimer’s disease (AD), both of which are associated with neuroinflammation. In order to explore how neuroinflammation affects astrocytes, we assessed medial prefrontal cortex (PFC) and visual cortex (VCX) astrocytic gene expression using a neuroinflammation mouse model that displayed anhedonia as a phenotype. In this model, anhedonia was reversed by the fast acting antidepressant ketamine. Astrocyte specific gene expression alterations included those related to immune cell signaling, intracellular Ca2+ signaling, cholesterol biosynthesis, and metabolic pathways. Such changes peaked when anhedonia was greatest, and reversed to normal when anhedonia subsided. However, region-specific molecular identities between PFC and VCX astrocytes were maintained throughout, implying that astrocyte identities do not converge during neuroinflammation. We also mapped anhedonia-related astrocyte and bulk tissue gene expression changes onto published PFC single cell RNA sequencing data, and compared them to MDD and AD post-mortem human tissue samples to identify shared mechanisms. Finally, we assessed how neuroinflammation affected mPFC neuronal properties and detected no alterations at a time point when there was strong astrocyte reactivity. Our data show that neuroinflammation can cause significant and reversible changes in astrocyte gene expression and mouse behaviour without obvious neurotoxicity or loss of essential homeostatic functions. Furthermore, gene expression signatures accompanying neuroinflammation reveal pathways shared with MDD and AD, which display neuroinflammation as a comorbidity in humans.Significance statementAstrocytes are widely implicated in brain diseases, but their contributions to disease-related phenotypes remain incompletely explored. To make inroads into this problem, we assessed medial prefrontal cortex (PFC) and visual cortex (VCX) astrocyte gene expression using a peripherally induced neuroinflammation mouse model that produced anhedonia – a phenotype associated with several brain disorders. Neuroinflammation caused reversible changes in mouse behaviour and astrocyte-specific gene expression changes, some of which were related to human post mortem data for major depressive disorder (MDD) and Alzheimer’s disease (AD), but without any clear evidence of neurotoxicity in PFC of mice. The astrocyte molecular alterations accompanying neuroinflammation-induced anhedonia will be informative to explore diverse brain disorders and the effects of neuroinflammation on the CNS more broadly.


2007 ◽  
Vol 27 (48) ◽  
pp. 13329-13340 ◽  
Author(s):  
H. J. Kang ◽  
D. H. Adams ◽  
A. Simen ◽  
B. B. Simen ◽  
G. Rajkowska ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jiao Li ◽  
Jakob Seidlitz ◽  
John Suckling ◽  
Feiyang Fan ◽  
Gong-Jun Ji ◽  
...  

AbstractMajor depressive disorder (MDD) has been shown to be associated with structural abnormalities in a variety of spatially diverse brain regions. However, the correlation between brain structural changes in MDD and gene expression is unclear. Here, we examine the link between brain-wide gene expression and morphometric changes in individuals with MDD, using neuroimaging data from two independent cohorts and a publicly available transcriptomic dataset. Morphometric similarity network (MSN) analysis shows replicable cortical structural differences in individuals with MDD compared to control subjects. Using human brain gene expression data, we observe that the expression of MDD-associated genes spatially correlates with MSN differences. Analysis of cell type-specific signature genes suggests that microglia and neuronal specific transcriptional changes account for most of the observed correlation with MDD-specific MSN differences. Collectively, our findings link molecular and structural changes relevant for MDD.


2008 ◽  
Vol 107 ◽  
pp. S90
Author(s):  
J.H. Seok ◽  
D.I. Jon ◽  
K.J. Min⁎ ◽  
W.M. Bahk ◽  
J.P. Hong ◽  
...  

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