向新陈代谢,对抗抗癌和抗菌药物耐药性
Carolina H Chung1, Rupa Bhowmick1, Annie J Badenoch2
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Trends in pharmacological sciences
|March 12, 2026
概括
癌症和感染中的耐药性源于代谢重编程. 针对共享的代谢途径提供了用于药物重新定位和克服治疗挑战的新策略.
科学领域:
- 疾病中的代谢重编程
- 药物耐药性机制 药物耐药性机制
- 瘤学和传染病的跨学科研究.
背景情况:
- 耐药性是治疗癌症和传染病的一个重要障碍.
- 细菌和癌细胞改变其新陈代谢和微环境,以逃避治疗.
- 了解这些代谢适应对于开发有效的治疗方法至关重要.
研究的目的:
- 检查各种疾病中药物耐药性的共同代谢机制.
- 突出代谢重编程在治疗逃避中的作用.
- 探索潜在的跨疾病治疗策略.
主要方法:
- 审查新兴技术,如单细胞和空间奥米克,CRISPR化学基因组学,机器学习和代谢网络建模.
- 分析细菌生物膜,结核病颗粒体和瘤微环境中的代谢复杂性.
- 检查特定的代谢适应,包括抗氧化防御,宿主免疫操纵和能量代谢重新连接.
主要成果:
- 代谢重编程是微生物和癌细胞中药物耐药性的常见策略.
- 关键的代谢机制包括激活抗氧化剂防御,调节宿主免疫力和改变能量代谢.
- 疾病微环境中的复杂代谢相互作用对治疗失败有重大贡献.
结论:
- 在不同疾病中共享的代谢因素可以为新的治疗方法提供信息.
- 重新利用现有的药物,免疫疗法和饮食干预措施可以克服药物耐药性.
- 对代谢脆弱性的进一步研究可能会导致针对难治性疾病的创新解决方案.
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