Age-related changes in calbindin-D28k, calretinin, and parvalbumin-immunoreactive neurons in the human cerebral cortex

2003 ◽  
Vol 182 (1) ◽  
pp. 220-231 ◽  
Author(s):  
J Bu
2019 ◽  
Vol 30 (2) ◽  
pp. 575-586 ◽  
Author(s):  
Nadine Parker ◽  
Didac Vidal-Pineiro ◽  
Leon French ◽  
Jean Shin ◽  
Hieab H H Adams ◽  
...  

Abstract Exposures to life stressors accumulate across the lifespan, with possible impact on brain health. Little is known, however, about the mechanisms mediating age-related changes in brain structure. We use a lifespan sample of participants (n = 21 251; 4–97 years) to investigate the relationship between the thickness of cerebral cortex and the expression of the glucocorticoid- and the mineralocorticoid-receptor genes (NR3C1 and NR3C2, respectively), obtained from the Allen Human Brain Atlas. In all participants, cortical thickness correlated negatively with the expression of both NR3C1 and NR3C2 across 34 cortical regions. The magnitude of this correlation varied across the lifespan. From childhood through early adulthood, the profile similarity (between NR3C1/NR3C2 expression and thickness) increased with age. Conversely, both profile similarities decreased with age in late life. These variations do not reflect age-related changes in NR3C1 and NR3C2 expression, as observed in 5 databases of gene expression in the human cerebral cortex (502 donors). Based on the co-expression of NR3C1 (and NR3C2) with genes specific to neural cell types, we determine the potential involvement of microglia, astrocytes, and CA1 pyramidal cells in mediating the relationship between corticosteroid exposure and cortical thickness. Therefore, corticosteroids may influence brain structure to a variable degree throughout life.


2016 ◽  
Vol 52 (4) ◽  
pp. 1209-1214 ◽  
Author(s):  
Anna Pliássova ◽  
Paula M. Canas ◽  
Ana Carolina Xavier ◽  
Beatriz S. da Silva ◽  
Rodrigo A. Cunha ◽  
...  

2019 ◽  
Vol 78 (2) ◽  
pp. 101-112 ◽  
Author(s):  
Alessandro Giuliani ◽  
Sandra Sivilia ◽  
Vito Antonio Baldassarro ◽  
Marco Gusciglio ◽  
Luca Lorenzini ◽  
...  

2002 ◽  
Vol 956 (2) ◽  
pp. 312-318 ◽  
Author(s):  
Yoon Hee Chung ◽  
Eun Jung Kim ◽  
Chung Min Shin ◽  
Kyeung Min Joo ◽  
Myeung Ju Kim ◽  
...  

1992 ◽  
Vol 14 (2) ◽  
pp. 175-182 ◽  
Author(s):  
Maurizio Mancini ◽  
Carlo Cavallotti ◽  
Raffaele Mancino ◽  
Alberto Ricci ◽  
Francesco Amenta

2018 ◽  
Vol 29 (8) ◽  
pp. 3351-3362 ◽  
Author(s):  
Y Patel ◽  
J Shin ◽  
P A Gowland ◽  
Z Pausova ◽  
T Paus ◽  
...  

Abstract Previous in vivo studies revealed robust age-related variations in structural properties of the human cerebral cortex during adolescence. Neurobiology underlying these maturational phenomena is largely unknown. Here we employ a virtual-histology approach to gain insights into processes associated with inter-regional variations in cortical microstructure and its maturation, as indexed by magnetization transfer ratio (MTR). Inter-regional variations in MTR correlate with inter-regional variations in expression of genes specific to pyramidal cells (CA1) and ependymal cells; enrichment analyses indicate involvement of these genes in dendritic growth. On the other hand, inter-regional variations in the change of MTR during adolescence correlate with inter-regional profiles of oligodendrocyte-specific gene expression. Complemented by a quantitative hypothetical model of the contribution of surfaces associated with dendritic arbor (1631 m2) and myelin (48 m2), these findings suggest that MTR signals are driven mainly by macromolecules associated with dendritic arbor while maturational changes in the MTR signal are associated with myelination.


2020 ◽  
Author(s):  
Xingzhong Zhao ◽  
Jingqi Chen ◽  
Peipei Xiao ◽  
Jianfeng Feng ◽  
Ning Qing ◽  
...  

AbstractThe human cerebral cortex undergoes profound structural and functional dynamic variations across the lifespan, whereas the underlying molecular mechanisms remain unclear. Here, with a novel method TCA (Transcriptome-connectome Correlation Analysis), which integrates the brain functional MR magnetic resonance images and region-specific transcriptomes, we identify age-specific cortex (ASC) gene signatures for adolescence, early adulthood, and late adulthood. The ASC gene signatures are significantly correlated with the cortical thickness (P-value <2.00e-3) and myelination (P-value <1.00e-3), two key brain structural features that vary in accordance with brain development. In addition to the molecular underpinning of age-related brain functions, the ASC gene signatures allow delineation of the molecular mechanisms of neuropsychiatric disorders, such as the regulation between ARNT2 and its target gene ETF1 involved in Schizophrenia. We further validate the ASC gene signatures with published gene sets associated with the adult cortex, and confirm the robustness of TCA on other brain image datasets.


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