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除了全基因组关联研究之外,打击高血压:微生物组和人工智能作为精准医学的机会

Sachin Aryal¹, Ishan Manandhar¹, Xue Mei¹

¹Center for Hypertension and Precision Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.

Cambridge prisms. Precision medicine

|March 29, 2024

概括

通过将遗传风险得分与肠道微生物组数据相结合,可以改善心血管疾病风险. 人工智能可以整合这些得分,以便更好地预测和管理高血压.

科学领域:

遗传学和微生物学
心血管健康心血管健康
人工智能在医学中的应用

背景情况:

高血压 (HTN) 是心血管疾病死亡的主要原因,已确定了许多遗传因素.
目前对HTN的遗传风险评分 (PRS) 具有有限的预测能力,因为遗传学占风险的不到30%.
肠道微生物群的组成是血压调节和HTN病变的新兴重要因素.

研究的目的:

探索遗传,肠道微生物组和临床数据的整合,以提高高血压预测.
建议制定一个综合风险评分,包括多基因风险评分 (PRS),元基因组风险评分 (MRS) 和临床风险评分 (CRS).
利用人工智能 (AI) 来改善HTN易感性和进展的预测.

主要方法:

关于动物模型和人类高血压患者肠道失调的研究的综述.
讨论开发HTN的元基因组风险评分 (MRS) 的可能性.
建议使用人工智能策略集成PRS,MRS和CRS.

主要成果:

在动物模型和人类实验对象中,有证据将肠道失调与高血压联系在一起.
确定肠道微生物群作为影响血压的关键非遗传因素.
展示结合多种数据类型以改善风险预测的潜力.

结论:

整合PRS,MRS和CRS为预测高血压风险提供了比单独PRS更全面的方法.
综合风险评分的AI驱动分析可以显著提高HTN易感性和进展的预测.
未来的研究应该专注于开发和验证综合风险评分,用于高血压管理中的临床应用.

关键词:

机器学习是机器学习.基于基因组的风险评分.我们的肠道微生物群.高血压是因为高血压.个性化医疗是个性化的医疗.

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