解码慢性疼痛:整合遗传学,神经成像和人工智能,用于精确管理
Bade Uckac1,2, Natalia S Ogonowski1,3,4, Luis M García-Marín1,3
1Brain and Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Frontiers in pain research (Lausanne, Switzerland)
|February 23, 2026
概括
慢性疼痛影响全球三分之一的成年人,受生物,心理和社会因素的影响. 综合治疗为这种复杂的疾病提供了比单独服用药物更好的长期缓解.
科学领域:
- 疼痛研究 疼痛研究
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
背景情况:
- 慢性疼痛是一种由生物,心理和社会因素影响的复杂疾病,影响全球近三分之一的成年人.
- 它不成比例地影响老年人,妇女和社会经济弱势群体,经常与其他疾病同时发生.
研究的目的:
- 综合当前关于慢性疼痛流行病学,机制和管理的证据.
- 强调遗传,神经生物学和心理社会因素在慢性疼痛中的相互作用.
- 探索监测和个性化治疗策略的进展.
主要方法:
- 对基于人群的研究,临床试验,神经成像研究和多基因遗传分析的审查.
- 对基因重叠的全基因组关联研究 (GWAS) 的分析.
- 对前额外,岛屿和边缘电路中神经成像发现的检查.
主要成果:
- 慢性疼痛表现出显著的异质性,遗传研究显示多基因重叠与精神和免疫特征.
- 神经成像显示了与疼痛感知和持续性有关的大脑电路的持续性变化.
- 综合方法 (心理,物理治疗,干预) 带来比单独药物治疗更可持续的功能改善.
结论:
- 了解慢性疼痛需要整合生物,行为和环境数据,以获得精确的护理.
- 数字表型,可穿戴设备和人工智能为客观监测和个性化治疗提供了潜力.
- 多方面的管理策略对于改善慢性疼痛患者的功能和生活质量至关重要.
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