改变IBD护理:个性化治疗的未来通过多omics和药物基因组学
Niloofar Khoshnam Rad1, Ghazal Roostaei2, Shekoufeh Nikfar3
1Thoracic Research Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
个性化的炎症性肠病 (IBD) 治疗需要整合药物基因组学和多基因组学数据. 这种方法旨在提高药物的疗效,减少毒性,以改善患者的治疗结果.
科学领域:
- 胃肠道学和精准医学
- 药物基因组学和多基因组学整合
背景情况:
- 炎症性肠病 (IBD) 治疗面临的挑战是患者对现有疗法的反应不足.
- 在IBD管理中,急需更精确和个性化的治疗策略.
研究的目的:
- 审查药物基因组学和多基因组学在理解IBD病变发生和预测治疗结果方面的作用.
- 讨论人工智能和器官等新兴技术,以提供个性化的IBD护理.
- 批判性地研究将这些先进工具转化为临床实践的挑战.
主要方法:
- 从2000年1月到2024年3月,在Embase,Scopus和PubMed进行了全面的文献搜索.
- 关键词包括"炎症性肠病"",药物基因组学"和"多基因组学".
- 该综述综合了有关药物基因组标记物,多基因组应用和新技术的信息.
主要成果:
- 药物基因组标志物显著影响IBD中的药物代谢,疗效和毒性.
- 多种OMIC数据 (基因组学,蛋白质组学,代谢组学) 对于阐明IBD病原体和预测治疗反应至关重要.
- 新兴技术,如人工智能驱动的模型和器官,对推进个性化IBD管理充满希望.
结论:
- 整合药物基因组学和多基因组学为个性化的IBD护理提供了变革性的潜力.
- 必须解决诸如高成本,数据复杂性和培训缺口等障碍.
- 合作努力和现实世界的研究对于实施具有成本效益的,人工智能引导的IBD管理至关重要.
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