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首页> 外文期刊>The American journal of geriatric psychiatry: official journal of the American Association for Geriatric Psychiatry >Molecular and Cellular Evidence for Age by Disease Interactions: Updates and Path Forward
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Molecular and Cellular Evidence for Age by Disease Interactions: Updates and Path Forward

机译:通过疾病相互作用的年龄的分子和细胞证据:向前的更新和道路

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摘要

Characterization of age-associated gene expression changes shows that the brain engages a specific set of genes and biologic pathways along a continuous life-long trajectory and that these genes and pathways overlap with those associated with brain-related disorders. Based on this correlative observation, we have suggested a model of age-by-disease interaction by which brain ageing promotes biologic changes associated with diseases and where deviations from expected age-related trajectories, due to biologic and environmental factors, contribute to defining disease risk or resiliency. In this review, we first evaluate various biomarkers that can be used to study age-by-disease interactions and then focus on transcriptome analysis (i.e., the set of all expressed genes) as a useful tool to explore this interaction. Using the specific example of brain-derived neurotrophic factor and brain-derived neurotrophic factor-associated genes, we then describe molecular events and mechanisms potentially contributing to age-by-disease interactions. Finally, we suggest that long-term biologic adaptations within distinct cellular components of cortical microcircuits, as determined by transcriptome analysis, may integrate and mediate the effects of ageing and diseases. Moving forward, we suggest that analysis of transcriptome similarities between ageing and small molecule-induced system perturbations may lead to novel therapeutics discovery.
机译:年龄相关基因表达变化的特征表明,大脑沿着持续的生命轨迹参与一组特定的基因和生物途径,并且这些基因和途径与那些与大脑相关疾病相关的基因和途径重叠。基于这一相关观察,我们提出了一个年龄与疾病相互作用的模型,通过该模型,大脑老化促进与疾病相关的生物变化,并且由于生物和环境因素,偏离预期的年龄相关轨迹有助于定义疾病风险或恢复力。在这篇综述中,我们首先评估了可用于研究不同疾病之间年龄相互作用的各种生物标记物,然后将重点放在转录组分析(即所有表达的基因集)上,作为探索这种相互作用的有用工具。然后,我们以脑源性神经营养因子和脑源性神经营养因子相关基因为例,描述了可能导致疾病间相互作用的分子事件和机制。最后,我们认为,由转录组分析确定的皮质微电路不同细胞成分内的长期生物适应可能整合并介导衰老和疾病的影响。展望未来,我们认为,对衰老和小分子诱导的系统扰动之间转录组相似性的分析可能会带来新的治疗发现。

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