» Articles » PMID: 37284017

Molecular Differences in Brain Regional Vulnerability to Aging Between Males and Females

Overview
Specialty Geriatrics
Date 2023 Jun 7
PMID 37284017
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Aging-related cognitive decline is associated with brain structural changes and synaptic loss. However, the molecular mechanisms of cognitive decline during normal aging remain elusive.

Results: Using the GTEx transcriptomic data from 13 brain regions, we identified aging-associated molecular alterations and cell-type compositions in males and females. We further constructed gene co-expression networks and identified aging-associated modules and key regulators shared by both sexes or specific to males or females. A few brain regions such as the hippocampus and the hypothalamus show specific vulnerability in males, while the cerebellar hemisphere and the anterior cingulate cortex regions manifest greater vulnerability in females than in males. Immune response genes are positively correlated with age, whereas those involved in neurogenesis are negatively correlated with age. Aging-associated genes identified in the hippocampus and the frontal cortex are significantly enriched for gene signatures implicated in Alzheimer's disease (AD) pathogenesis. In the hippocampus, a male-specific co-expression module is driven by key synaptic signaling regulators including , , and ; while in the cortex, a female-specific module is associated with neuron projection morphogenesis, which is driven by key regulators including , and . In the cerebellar hemisphere, a myelination-associated module shared by males and females is driven by key regulators such as , , , , and , which have been implicated in the development of AD and other neurodegenerative diseases.

Conclusions: This integrative network biology study systematically identifies molecular signatures and networks underlying brain regional vulnerability to aging in males and females. The findings pave the way for understanding the molecular mechanisms of gender differences in developing neurodegenerative diseases such as AD.

Citing Articles

Gender-specific improvements in cognitive resources : Impact of a multidimensional exercise program on healthy physically inactive older adults.

Krumpolt M, Rahil D, Schumacher A, Sannemann L, Witte K Z Gerontol Geriatr. 2025; .

PMID: 39890625 DOI: 10.1007/s00391-024-02405-1.


Genes Selectively Expressed in Rat Organs.

Li D, Wan X, Yun Y, Li Y, Duan W Curr Genomics. 2024; 25(4):261-297.

PMID: 39156728 PMC: 11327808. DOI: 10.2174/0113892029273121240401060228.


A single-cell and spatial RNA-seq database for Alzheimer's disease (ssREAD).

Wang C, Acosta D, McNutt M, Bian J, Ma A, Fu H Nat Commun. 2024; 15(1):4710.

PMID: 38844475 PMC: 11156951. DOI: 10.1038/s41467-024-49133-z.


MntJULiP and Jutils: Differential splicing analysis of RNA-seq data with covariates.

Lui W, Yang G, Florea L bioRxiv. 2024; .

PMID: 38260578 PMC: 10802308. DOI: 10.1101/2024.01.01.573825.


A Single-cell and Spatial RNA-seq Database for Alzheimer's Disease (ssREAD).

Wang C, Acosta D, McNutt M, Bian J, Ma A, Fu H bioRxiv. 2023; .

PMID: 37745592 PMC: 10515769. DOI: 10.1101/2023.09.08.556944.

References
1.
Devaney K, Johnson H . Neuron loss in the aging visual cortex of man. J Gerontol. 1980; 35(6):836-41. DOI: 10.1093/geronj/35.6.836. View

2.
Ritchie M, Phipson B, Wu D, Hu Y, Law C, Shi W . limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015; 43(7):e47. PMC: 4402510. DOI: 10.1093/nar/gkv007. View

3.
Kato T, Konishi Y, Shimohama S, Beach T, Akatsu H, Tooyama I . Alpha1-chimaerin, a Rac1 GTPase-activating protein, is expressed at reduced mRNA levels in the brain of Alzheimer's disease patients. Neurosci Lett. 2015; 591:19-24. PMC: 4382517. DOI: 10.1016/j.neulet.2015.02.013. View

4.
Wang M, Roussos P, McKenzie A, Zhou X, Kajiwara Y, Brennand K . Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer's disease. Genome Med. 2016; 8(1):104. PMC: 5088659. DOI: 10.1186/s13073-016-0355-3. View

5.
Shannon P, Markiel A, Ozier O, Baliga N, Wang J, Ramage D . Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003; 13(11):2498-504. PMC: 403769. DOI: 10.1101/gr.1239303. View