以宿主为中心的免疫,新陈代谢和诊断创新,用于全球精确控制结核病
Isil Aksan Kurnaz1, Ekin Sonmez2, Augustine Ovie Edegbene3
1Gebze Technical University, Institute of Biotechnology, Gebze, Kocaeli, Turkiye; Gebze Technical University, Dept Molecular Biology and Genetics, Gebze, Kocaeli, Turkiye; Global Young Academy, Halle (Saale), Germany.
Life sciences
|March 5, 2026
概括
结核病 (TB) 控制需要新的策略,而不仅仅是消除病原体. 本综述强调了宿主导疗法,先进诊断和人工智能,以提高恢复力和加速全球结核病消除工作.
科学领域:
- 传染性疾病 传染性疾病
- 免疫学 免疫学 免疫学
- 生物标志物发现发现
背景情况:
- 由Mycobacterium tuberculosis (MTB) 引起的结核病 (TB) 仍然是全球主要的健康威胁.
- 诸如耐药性,疫苗限制,诊断差距和健康不平等等挑战阻碍了结核病的控制.
- 目前的策略往往侧重于病原体的消除,需要互补的方法.
研究的目的:
- 审查对结核病控制宿主病原体相互作用的新兴见解.
- 探索宿主导干预,训练天生的免疫力和免疫代谢重编程.
- 讨论诊断方面的进步以及多omics和AI的作用.
主要方法:
- 文献综述侧重于结核病中的宿主-病原体相互作用.
- 探索新型诊断技术 (例如,核酸放大,呼吸omics).
- 讨论多学科整合和人工智能 (AI) 应用.
主要成果:
- 新兴的宿主导策略为传统结核病治疗提供了补充方法.
- 快速的临床诊断正在进步,包括转录组,蛋白组和代谢组生物标志物.
- 人工智能和多omics集成显示了生物标志物发现,患者分层和个性化治疗的潜力.
结论:
- 将重点转移到宿主弹性,以及针对病原体的策略,对于结核病控制至关重要.
- 跨学科的合作和创新对于加速消除结核病至关重要.
- 需要一个包括宿主在内的框架来加强全球结核病控制,提高公平性,并将研究转化为实践.
关键词:
人工智能的人工智能是人工智能.生物标志物 生物标志物诊断 诊断 诊断 诊断主体导向疗法 主体导向疗法免疫代谢过程中的免疫代谢.多个omics的多个omics.训练有素的免疫力结核病是一种疾病.更多相关视频
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