ArticleScientific reports2023
Proteomic characterization of aging-driven changes in the mouse brain by co-expression network analysis.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Altered Brain Structure in an ATRX-Deficient Mouse Model of Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026Article
- Stress granules as a central hub linking organelle stress, aging, and neurodegeneration.BMB reports · 2026Review
- Unveiling proteomic and peptide-level modifications in cerebrospinal fluid and plasma in normal cognitive aging.Communications medicine · 2025Article
- Ten mouse organs proteome and metabolome atlas from adult to aging.Genome medicine · 2025Article
- Brain proteome changes after intracerebral hemorrhage in aged male and female mice.Neurobiology of disease · 2025Article
- Expanding the landscape of aging via orbitrap astral mass spectrometry and tandem mass tag integration.Nature communications · 2025Article
- The Aging Substantia Nigra is Characterized by ROS Accumulation Potentially Resulting in Increased Neuroinflammation and Cytoskeletal Remodeling.Advanced biology · 2025Article
- Mechanisms of astrocyte aging in reactivity and disease.Molecular neurodegeneration · 2025Review
- Aging disrupts blood-brain and blood-spinal cord barrier homeostasis, but does not increase paracellular permeability.GeroScience · 2025Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain aging causes a progressive decline in functional capacity and is a strong risk factor for dementias such as Alzheimer's disease. To characterize age-related proteomic changes in the brain, we used quantitative proteomics to examine brain tissues, cortex and hippocampus, of mice at three age points (3, 15, and 24 months old), and quantified more than 7000 proteins in total with high reproducibility. We found that many of the proteins upregulated with age were extracellular proteins, such as extracellular matrix proteins and secreted proteins, associated with glial cells. On the other hand, many of the significantly downregulated proteins were associated with synapses, particularly postsynaptic density, specifically in the cortex but not in the hippocampus. Our datasets will be helpful as resources for understanding the molecular basis of brain aging.
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