精密医学在病学:一个综合框架的多维数据在脏精密医学项目中的精密医学
Tarek M El-Achkar1, Michael T Eadon1, Matthias Kretzler2
1Division of Nephrology, School of Medicine, Indiana University, and Richard L. Roudebush Veteran Affairs Medical Center, Indianapolis, Indiana.
概括
脏精密医学项目 (KPMP) 创建详细的脏地图,以识别新的疾病亚型. 这种精准医学方法使用多omics数据来改善对慢性病 (CKD) 和急性损伤 (AKI) 的理解和护理.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 基因组学就是基因组学.
- 精准医学是一门精准的医学.
背景情况:
- 慢性病 (CKD) 和急性损伤 (AKI) 是复杂的疾病,患者的结果和治疗反应各不相同.
- 目前的临床和组织病理学定义并不能完全捕捉到这些病的异质性.
- 需要先进的表型识别来了解疾病驱动因素和患者分层.
研究的目的:
- 概述精密医学项目 (KPMP) 的结构和方法.
- 为突出不同分子和细胞数据集的整合用于病研究.
- 介绍KPMP与推进CKD和AKI患者护理相关的主要成果.
主要方法:
- 脏在健康和疾病中的空间定,细胞和分子地图的开发.
- 整合多种omics数据,包括转录组,蛋白组,表观组和代谢组分析.
- 先进的临床表型化和脏活检样本的病态检查.
主要成果:
- KPMP图谱为CKD和AKI提供了分子背景.
- 疾病亚型的识别不通过传统的表征方法显而易见.
- 建立一个整合各种生物和临床数据的框架.
结论:
- KPMP促进了精准医学方法来了解脏疾病.
- 分子和细胞地图对于定义新型疾病亚型至关重要.
- 这项研究将为未来的CKD和AKI患者护理策略提供信息.
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