表观遗传学,微生物组和个性化医学:专注于脏疾病
Giuseppe Gigliotti1, Rashmi Joshi2, Anam Khalid2
1Department Nephrology and Dialysis, Eboli Hospital, 84025 Eboli, Italy.
International journal of molecular sciences
|August 29, 2024
概括
通过使用肠道微生物群和表观遗传钟的连续数据,可以改进个性化医疗. 这些工具有助于通过早期识别高风险患者来定制脏疾病的治疗方法.
科学领域:
- 生物医学科学 生物医学科学
- 基因组学就是基因组学.
- 微生物组研究 微生物组研究
背景情况:
- 个性化医疗面临着复杂数据的统计和设计挑战.
- 多维数据,如肠道微生物群和表观遗传钟,提供了新的方法.
- 脏疾病,包括IgA脏病,是个性化治疗策略的重点.
研究的目的:
- 探索连续多维数据对于个性化医学试验设计的实用性.
- 讨论肠道微生物群和表观遗传钟在病治疗中的应用.
- 突出这些"大数据"如何改进治疗计划和患者分层.
主要方法:
- 利用肠道微生物群数据为基于益生菌的治疗策略提供信息.
- 将DNA甲基组数据转化为表观遗传钟,以估计生物年龄.
- 分析内皮功能障碍在调解微生物群和表观遗传钟对病影响中的作用.
主要成果:
- 表观遗传钟可以在症状出现之前识别患有脏问题的高风险个体.
- 肠道功能失调是治疗干预的目标,旨在恢复微生物群平衡.
- 表观遗传钟和微生物群都显示出个性化急性和慢性病管理的潜力.
结论:
- 连续的多维数据,特别是表观遗传钟和肠道微生物群,为个性化药物试验设计提供了一个有利的场景.
- 这些"大数据"方法可以帮助定制治疗脏疾病的治疗计划,通过识别那些可能受益于积极治疗的患者或那些没有受益的患者.
- 内皮功能障碍似乎是表观遗传钟和微生物群影响脏疾病的关键途径.
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