Integrated Multi-Omics Analysis of Brain Aging in Female Nonhuman Primates Reveals Altered Signaling Pathways Relevant to Age-Related Disorders
Laura A. CoxiD, Sobha PuppalaiD, Jeannie ChaniD, Kip D. ZimmermaniD, Zeeshan HamidiD, Isaac AmpongiD, Hillary F. HuberiD, Ge LiiD, Avinash Y. L. Jadhav, Benlian Wang, Cun LiiD, Mark G. BaxteriD, Carol A. ShivelyiD, Geoffrey D. ClarkeiD, Thomas C. RegisteriD, Peter W. NathanielsziD, Michael OlivieriD
Abstract
The prefrontal cortex (PFC) has been implicated as a key brain region responsible for age-related cognitive decline. Little is known about aging-related molecular changes in PFC that may mediate these effects. To date, no studies have used untargeted discovery methods with integrated analyses to determine PFC molecular changes in healthy female primates. We quantified PFC changes associated with healthy aging in female baboons by integrating multiple omics data types (transcriptomics, proteomics, metabolomics) from samples across the adult age span. Our integrated omics approach using unbiased weighted gene co-expression network analysis (WGCNA) to integrate data and treat age as a continuous variable, revealed highly interconnected known and novel pathways associated with PFC aging. We found GABA tissue content associated with these signaling pathways, providing one potential biomarker to assess PFC changes with age. These highly coordinated pathway changes during aging may represent early steps for aging-related decline in PFC functions, such as learning and memory, and provide potential biomarkers to assess cognitive status in humans.
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