Age-associated cortical similarity networks correlate with cell type-specific transcriptional signatures

Author:

Niu Jinpeng12ORCID,Jiao Qing12,Cui Dong12,Dou Ruhai12,Guo Yongxin12,Yu Guanghui12ORCID,Zhang Xiaotong2ORCID,Sun Fengzhu2ORCID,Qiu Jianfeng2,Dong Li34,Cao Weifang12

Affiliation:

1. Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University , Tai’an 271000 , China

2. School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences , Tai’an 271016 , China

3. The Clinical Hospital of Chengdu Brain Science Institute , MOE Key Lab for Neuroinformation, School of Life Science and Technology, , Chengdu 610054 , China

4. University of Electronic Science and Technology of China , MOE Key Lab for Neuroinformation, School of Life Science and Technology, , Chengdu 610054 , China

Abstract

Abstract Human brain structure shows heterogeneous patterns of change across adults aging and is associated with cognition. However, the relationship between cortical structural changes during aging and gene transcription signatures remains unclear. Here, using structural magnetic resonance imaging data of two separate cohorts of healthy participants from the Cambridge Centre for Aging and Neuroscience (n = 454, 18–87 years) and Dallas Lifespan Brain Study (n = 304, 20–89 years) and a transcriptome dataset, we investigated the link between cortical morphometric similarity network and brain-wide gene transcription. In two cohorts, we found reproducible morphometric similarity network change patterns of decreased morphological similarity with age in cognitive related areas (mainly located in superior frontal and temporal cortices), and increased morphological similarity in sensorimotor related areas (postcentral and lateral occipital cortices). Changes in morphometric similarity network showed significant spatial correlation with the expression of age-related genes that enriched to synaptic-related biological processes, synaptic abnormalities likely accounting for cognitive decline. Transcription changes in astrocytes, microglia, and neuronal cells interpreted most of the age-related morphometric similarity network changes, which suggest potential intervention and therapeutic targets for cognitive decline. Taken together, by linking gene transcription signatures to cortical morphometric similarity network, our findings might provide molecular and cellular substrates for cortical structural changes related to cognitive decline across adults aging.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

China Postdoctoral Science Foundation

High-Level Cultivation Program of Shandong First Medical University and Shandong Academy of Medical Sciences

Science and Technology Project of the Education Department of Shandong Province

Taishan Scholars Program of Shandong Province

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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