A central question in the field of aging research is to identify the cellular and molecular basis of neuroresilience. One potential candidate is the small GTPase, Rab10. Here, we used Rab10(+/-) mice to investigate the molecular mechanisms underlying Rab10-mediated neuroresilience. Brain expression analysis of 880 genes involved in neurodegeneration showed that Rab10(+/-) mice have increased activation of pathways associated with neuronal metabolism, structural integrity, neurotransmission, and neuroplasticity compared with their Rab10(+/+) littermates. Lower activation was observed for pathways involved in neuroinflammation and aging. We identified and validated several differentially expressed genes (DEGs), including Stx2, Stx1b, Vegfa, and Lrrc25 (downregulated) and Prkaa2, Syt4, and Grin2d (upregulated). Behavioral testing showed that Rab10(+/-) mice perform better in a hippocampal-dependent spatial task (object in place test), while their performance in a classical conditioning task (trace eyeblink classical conditioning, TECC) was significantly impaired. Therefore, our findings indicate that Rab10 differentially controls the brain circuitry of hippocampal-dependent spatial memory and higher-order behavior that requires intact cortex-hippocampal circuitry. Transcriptome and biochemical characterization of these mice suggest that glutamate ionotropic receptor NMDA type subunit 2D (GRIN2D or GluN2D) is affected by Rab10 signaling. Further work is needed to evaluate whether GRIN2D mediates the behavioral phenotypes of the Rab10(+/-) mice. We conclude that Rab10(+/-) mice described here can be a valuable tool to study the mechanisms of resilience in Alzheimer's disease (AD) model mice and to identify novel therapeutical targets to prevent cognitive decline associated with normal and pathologic aging.
Behavioral and Transcriptome Profiling of Heterozygous Rab10 Knock-Out Mice.
杂合Rab10敲除小鼠的行为和转录组分析
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作者:Bunner Wyatt, Wang Jie, Cohen Sarah, Bashtovyy Denys, Perry Rachel, Shookster Daniel, Landry Taylor, Harris Elizabeth M, Stackman Robert, Tran Tuan D, Yasuda Ryohei, Szatmari Erzsebet M
| 期刊: | eNeuro | 影响因子: | 2.700 |
| 时间: | 2023 | 起止号: | 2023 May 22; 10(5):ENEURO |
| doi: | 10.1523/ENEURO.0459-22.2023 | 研究方向: | 其它 |
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