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原文連結
論文資訊
- 類型：已發表論文
- 日期：2025-03-03
摘要
Understanding the key drivers of 大腦 aging is essential for effective prevention and treatment of neurodegenerative 疾病s. Here, we integrate human 大腦 and physiological data to investigate underlying mechanisms. Functional MRI analyses across four large datasets (totaling 19,300 participants) show that 大腦 網絡s not only destabilize throughout the lifetime but do so along a 非線性 trajectory, with consistent temporal “landmarks” of 大腦 aging starting in midlife (40s). Comparison of metabolic, vascular, and inflammatory biomarkers implicate dysregulated glucose homeostasis as the driver mechanism for these transitions. Correlation between the 大腦’s regionally heterogeneous patterns of aging and gene expression further supports these findings, selectively implicating GLUT4 (insulin-dependent glucose tr
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