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在CKD中个性化护理:超越传统的生物标志物
Thomas McDonnell1,2, Rosamonde E Banks3, Maarten W Taal4,5
1Donal O'Donoghue Renal Research Centre, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK.
Nephron
|January 23, 2025
概括
目前慢性病 (CKD) 的生物标志物,如eGFR和uACR是有限的. 新型生物标志物和多种omics是需要精准医学,改善风险预测和个性化治疗病.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 生物标志物发现发现
- 精准医学是一门精准的医学.
背景情况:
- 传统的慢性病 (CKD) 生物标志物,包括估计的膜过率 (eGFR) 和尿中的白蛋白与肌素比率 (uACR),是诊断和分类的基础.
- 然而,这些标志物缺乏特异性,无法解决CKD的异质性和个体病理生理机制.
- 这就需要开发新的生物标志物来进行个性化风险预测和治疗策略.
研究的目的:
- 审查当前CKD生物标志物和分类系统的局限性.
- 突出需要精确医学方法来管理慢性脏病的需要.
- 探索新兴生物标志物和多种omics技术在推进CKD护理方面的潜力.
主要方法:
- 对当前CKD生物标志物和分类系统的文献综述.
- 分析传统生物标志物的局限性 (例如,eGFR,uACR).
- 探索针对特定病理生理过程 (炎症,纤维化等) 的新兴生物标志物. 和多经济学的进步.
主要成果:
- 目前基于eGFR和uACR的CKD分类不足以捕捉疾病的复杂性和异质性.
- 新兴的生物标志物提供了关于CKD特定机制的见解,如炎症,氧化应激和管状损伤.
- 多omics和高通量技术为识别新药点提供了潜在的潜力.
结论:
- 将新型生物标志物纳入临床实践可以提高风险预测,并为CKD提供量身定制的治疗方法.
- 使用各种生物标志物的精密医学方法对于推进CKD管理至关重要.
- 高通量多原子策略是发现新治疗点和改善科患者治疗结果的关键.
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