Integrated Multi-Omics Analysis of Brain Aging in Female Nonhuman Primates Reveals Altered Signaling Pathways Relevant to Age-Related Disorders Article Swipe

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Laura A. Cox , Sobha Puppala , Jeannie Chan , Kip D. Zimmerman , Zeeshan Hamid , Isaac Ampong , Hillary F. Huber , Ge Li , Avinash Jadhav , Benlian Wang , Cun Li , Mark G. Baxter , Carol A. Shively , Geoffrey D. Clarke , Thomas C. Register , Peter W. Nathanielsz , Michael Olivier ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1101/2022.11.01.514742

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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Computational Biology

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Omics Prefrontal cortex Transcriptome Biology Proteomics Neuroscience Brain aging Biomarker Metabolomics Biomarker discovery Healthy aging Cognition Cognitive decline Computational biology Aging brain Bioinformatics Medicine Gene expression Gene Disease Genetics Gerontology Internal medicine Dementia

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1101/2022.11.01.514742
PDF: https://www.biorxiv.org/content/biorxiv/early/2022/11/02/2022.11.01.514742.full.pdf
OA Status: green
References: 59
Related Works: 10
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DOI: https://doi.org/10.1101/2022.11.01.514742

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Title: Integrated Multi-Omics Analysis of Brain Aging in Female Nonhuman Primates Reveals Altered Signaling Pathways Relevant to Age-Related Disorders

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Type: preprint

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Language: en

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Publication year: 2022

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Publication date: 2022-11-02

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Authors: Laura A. Cox, Sobha Puppala, Jeannie Chan, Kip D. Zimmerman, Zeeshan Hamid, Isaac Ampong, Hillary F. Huber, Ge Li, Avinash Jadhav, Benlian Wang, Cun Li, Mark G. Baxter, Carol A. Shively, Geoffrey D. Clarke, Thomas C. Register, Peter W. Nathanielsz, Michael Olivier

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Landing page: https://doi.org/10.1101/2022.11.01.514742

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PDF URL: https://www.biorxiv.org/content/biorxiv/early/2022/11/02/2022.11.01.514742.full.pdf

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Concepts: Omics, Prefrontal cortex, Transcriptome, Biology, Proteomics, Neuroscience, Brain aging, Biomarker, Metabolomics, Biomarker discovery, Healthy aging, Cognition, Cognitive decline, Computational biology, Aging brain, Bioinformatics, Medicine, Gene expression, Gene, Disease, Genetics, Gerontology, Internal medicine, Dementia

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citation_normalized_percentile.is_in_top_10_percent	False