照亮糖尿病通过多种omics:解开疾病机制和推进个性化治疗
Chen-Meng Song1, Ta-Hui Lin1,2, Hou-Tan Huang2
1School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China.
World journal of diabetes
|July 23, 2025
概括
多omics集成提供了对糖尿病 (DM) 复杂性的更深入的理解. 这种方法确定了新的生物标志物和个性化治疗方法,以更好地管理和预防糖尿病.
科学领域:
- 生物化学 生物化学
- 遗传学 遗传学 是一个
- 微生物学 微生物学
背景情况:
- 糖尿病 (DM) 呈现出各种各样的亚型和显著的发病率,通常是传统方法不足以解决的.
- 由于DM的多因素性质,需要超越当前诊断和治疗策略的先进方法.
研究的目的:
- 审查多学科数据集成如何增强对DM的机制性理解.
- 探索多奥米克在开发糖尿病个性化治疗策略中的应用.
主要方法:
- 2015-2025年基因组,转录基因组,蛋白质基因组,代谢基因组和微生物基因组数据的整合.
- 强调临床相关性和来自主要数据库和同行评审出版物的数据.
主要成果:
- 多omics在β细胞功能障碍,胰岛素耐药性和糖尿病并发症中确定了融合的分子网络.
- 代谢学和微生物学揭示了代谢中间体和肠道疾病之间的相互作用.
- 新型生物标志物和单细胞多组学改进了风险分层和早期检测.
结论:
- 多omics集成提供了DM异质性的精确剖析,使得有针对性的干预措施.
- 未来的工作需要数据协调,伦理考虑和现实世界的验证,以减少全球DM负担.
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