使用预测性,预防性和个性化的医疗方法来优化高血压管理
Ousman Bajinka1,2, Lamarana Jallow3,4, Yanjun Zhang1
1Shandong Provincial Key Laboratory of Precision Oncology, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong Cancer Hospital and Institute, 440 Jiyan Road, Jinan, Shandong 250117 People's Republic of China.
The EPMA journal
|November 28, 2025
概括
预测,预防和个性化医学 (3PM) 提供了使用生物标志物,人工智能和数字健康的定制高血压管理. 这种方法可以实现主动的,个性化的护理,但需要进一步的验证和公平的机会,以充分发挥潜力.
科学领域:
- 心血管医学 心血管医学
- 基因组学就是基因组学.
- 数字健康数字健康
背景情况:
- 高血压是心血管疾病的一个显著可修改的风险因素.
- 它的异质性需要超越传统管理的个性化方法.
研究的目的:
- 审查预测性,预防性和个性化医学 (3PM) 在高血压管理中的应用.
- 专注于利用生物标志物,人工智能和数字健康来改善患者的治疗结果.
主要方法:
- 通过人工智能驱动的整合多奥米克,视网膜成像和血液动力学分析,用于风险预测.
- 利用基因分析 (例如,MTHFR,UMOD变异),尿蛋白学和微生物组分析进行早期干预.
- 采用药物基因组学,数字表型化和新疗法,以实现个性化治疗的有效性.
主要成果:
- 在耐性高血压中,阿普罗西坦降低了缩血压-15.3 mmHg.
- 在载体中,UMOD引导的托拉塞米德降低了8.5mmHg的血压.
- 在高血糖患者中,基于微生物组的营养可使缩血压降低14%.
结论:
- 3PM将高血压护理转变为主动的,个性化的策略.
- 挑战包括生物标志物验证,人工智能透明度,成本,互操作性和公平.
- 严格的验证,负担得起的诊断,务实的试验和公平的准入对于临床翻译至关重要.
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