糖尿病外围神经病变的破碎病原和生物标志物
Zhao Zhong Chong1, Nizar Souayah2
1Department of Neurology, New Jersey Medical School, Rutgers University, 185 S. Orange Ave, Newark, NJ 07103, USA.
Biomedicines
|February 26, 2025
概括
糖尿病感觉运动性多神经病变 (DSP) 可能是可逆的. 通过结合生物标志物和人工智能的早期检测显示出预测DSP进展的前景,尽管目前单一生物标志物的局限性.
科学领域:
- 神经学 神经学
- 内分泌学 在内分泌学.
- 生物化学 生物化学
背景情况:
- 糖尿病感觉运动性多神经病变 (DSP) 是糖尿病的一个常见并发症.
- 传统上被视为不可逆转的轴突损失,DSP可能在早期阶段涉及可逆性脱髓化.
- 识别早期预后标志物对于管理DSP至关重要.
研究的目的:
- 系统地审查用于预测DSP和监测其进展的生物标志物.
- 讨论这些生物标志物的潜在机制.
- 探索AI在DSP诊断中的潜力.
主要方法:
- 系统的文献审查.
- 在DSP中分析生物标记者的作用和机制.
- 讨论诊断准确性,实用性和测量方便性.
主要成果:
- DSP的发病是多因素的,涉及异常的葡萄糖代谢,氧化应激和炎症.
- 潜在的生物标志物源于葡萄糖代谢中断,神经损伤,微循环问题,遗传变异和microRNA失调.
- 目前的单一生物标志物显示了DSP进展的低于最佳预测值和准确性.
结论:
- 对于DSP的个别生物标志物的诊断实用性有限.
- 多种生物标志物的组合为准确的DSP检测提供了有前途的潜力.
- 人工智能和机器学习可以显著提升用于将复杂的生物标记数据集成到DSP中的诊断平台.
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