Brain Aging Models
Brain Aging Models - Related Videos
09:28
Gentle Isolation of Nuclei from the Brain Tissue of Adult African Turquoise Killifish, a Naturally Short-Lived Model for Aging Research
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Cited by 2 •
2022
Here we present a protocol to isolate nuclei from the brains of the short-lived vertebrate model Nothobranchius furzeri for downstream applications such as single-nucleus RNA sequencing or single-nucleus assay for transposase-accessible chromatin with sequencing (ATAC-seq).
04:46
A Modified Transcranial Middle Cerebral Artery Occlusion Model to Study Stroke Outcomes in Aged Mice
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Cited by 6 •
2023
This protocol demonstrates a unique mouse stroke model with a medium-sized infarct and an excellent survival rate. This model allows preclinical stroke researchers to extend the ischemia duration, use aged mice, and assess long-term functional outcomes.
06:58
Frailty Assessment in an Aging Mouse Model
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2025
The goal of the present protocol is to provide instructions and guidelines for assessing physical frailty in C57Bl/6x129J laboratory mice. Specific details regarding each measure used in the physical frailty index are explained. Several methods for reporting frailty results are also presented.
08:20
Robust Tissue Fabrication for Long-Term Culture of iPSC-Derived Brain Organoids for Aging Research
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Cited by 5 •
2023
The present protocol provides a step-by-step procedure for the reproducible generation, maintenance, and aging of cerebral organoids derived from human-induced pluripotent stem cells (iPSCs). This method enables culturing and maturing cerebral organoids for extended periods, which facilitates the modeling of processes involved in brain aging and age-related pathogenesis.
12:28
Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
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Cited by 25 •
2020
This protocol describes a method to track individual brain-aging trajectories through a brain donation program and proper characterization of brains. Brain donors are involved in a long-term longitudinal study including serial multi-dimensional assessments. The protocol contains a detailed description of brain processing and an accurate diagnostic methodology.
FAQs
Model choice determines which aspects of aging can be examined most directly. Naturally aged organisms support comparisons across whole nervous systems, whereas engineered tissues and cultured cells allow more controlled investigation of cellular or molecular changes. Selecting among these systems depends on whether the study emphasizes neuronal dysfunction, synaptic loss, inflammation, protein maintenance, or relationships among these processes.
Comparisons across ages help separate changes associated with normal aging from alterations linked to disease mechanisms. Researchers can examine whether a structural, cellular, or molecular change appears progressively with age, differs under specific biological conditions, or accompanies impaired brain function. This approach strengthens interpretation by placing disease-related findings within the broader trajectory of nervous-system aging.
These systems can connect structural changes with cellular dysfunction and molecular disturbances. For example, neuronal dysfunction may be considered alongside synaptic loss, inflammation, and impaired protein maintenance rather than treated as an isolated event. Examining these levels together helps researchers investigate how age-related alterations may interact and identify processes that could contribute to cognitive decline or neurodegeneration.
Researchers can compare age-matched or differently aged biological conditions while monitoring the same categories of structural, cellular, and molecular change. Findings that occur during aging can then be distinguished from alterations that emerge specifically in disease-related conditions. Brain aging models therefore provide a framework for testing whether a process reflects general aging, disease-associated pathology, or an interaction between the two.
A typical workflow begins by selecting a model suited to the biological question, establishing relevant age or condition comparisons, and examining structural, cellular, or molecular outcomes. Researchers then compare the resulting patterns across groups or interventions. This organized design can reveal age-associated changes, clarify disease mechanisms, and indicate whether a process is relevant to preserving brain function.
Results may identify mechanisms associated with neuronal dysfunction, synaptic loss, inflammation, or impaired protein maintenance. Those findings can guide the selection of therapeutic targets and support evaluation of strategies intended to preserve brain function. Because the systems permit controlled comparisons across ages and biological conditions, they also help connect experimental observations with neurodegenerative disease and cognitive decline.