大数据,大洞察力:利用数据分析揭示心血管暴露组复杂性
Ramzi Ibrahim1, Hoang Nhat Pham2, Khurram Nasir3
1Mayo Clinic, Phoenix, Arizona, US.
Methodist DeBakey cardiovascular journal
|November 11, 2024
概括
暴露组,包括所有终身环境暴露,显著影响心血管健康. 了解其与社会,自然和建筑环境的复杂相互作用,有助于开发针对全球心血管疾病预防的有针对性的干预措施.
科学领域:
- 环境健康 环境健康
- 心血管科学 心血管科学
- 公共卫生 公共卫生
背景情况:
- 暴露组包括从怀孕开始的所有环境暴露,影响健康结果.
- 心血管疾病 (CVD) 的患病率和死亡率受到暴露组的社会,自然和建筑环境中的相互作用的显著影响.
研究的目的:
- 为了阐明暴露组的组成部分.
- 审查最近关于曝光体与心血管健康关系的文献.
主要方法:
- 审查当前关于exposome研究和心血管健康的文献.
- 讨论先进的数据分析,包括机器学习和地理空间分析.
- 整合多组学平台 (基因组学,表观基因组学,临床数据,社会,环境,可穿戴数据).
主要成果:
- 暴露体的组成部分相互作用,影响心血管疾病风险.
- 先进的计算方法和多组学增强了暴露体的表征.
- 数据分析揭示了暴露因子如何融合以影响心血管健康.
结论:
- 详细描述暴露组对于改善全球心血管健康至关重要.
- 多种经济学和计算方法为降低心血管疾病风险提供了创新的策略.
- 基于对暴露组的全面了解,可以制定有针对性的公共卫生干预措施.
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