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RESEARCH PAPER / 2025-10-15

Microglial morphology reflects cognitive status in the aging rat brain

Myers, S. J., Roseborough, A. D., Bayona, C. X., Carrese, C., Allman, B. L., Whitehead, S. N.

Western University · biorxiv

Abstract

Age-related cognitive decline affects millions of individuals worldwide, but the cellular mechanisms underlying this decline remain incompletely understood. Microglia undergo significant changes with aging, including alterations in morphology, that may reflect or contribute to cognitive dysfunction. However, the relationship between specific microglial morphologies and cognitive performance in relevant brain regions remains poorly understood. To address this, we evaluated the relationship between morphology-based microglial phenotypes and cognitive performance across domains affected by aging. Microglial morphology was analyzed in four cognitive brain regions of male and female 3-, 9-, and 15-month-old rats and features were subjected to hierarchical clustering on principal components to identify microglial subtypes. Rats underwent cognitive testing using a radial arm water maze and a T-maze set-shifting task to assess spatial working and reference memory, striatal-based learning, and cognitive flexibility. We observed age-related cognitive impairments alongside region-specific changes in microglial morphotype abundance. Importantly, the relative abundance of distinct microglial clusters correlated with cognitive performance in functionally relevant brain regions including the prefrontal cortex, the orbitofrontal cortex, and the hippocampus. Taken together, these findings highlight the utility of morphological profiling in capturing microglial heterogeneity and suggest that morphological changes may reflect or contribute to cognitive decline during aging.

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Research summary

The paper claims that specific microglial morphologies correlate with cognitive performance in aging rats. This research is relevant as it explores the cellular mechanisms underlying cognitive decline associated with aging, potentially contributing to our understanding of age-related cognitive dysfunction.

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