智能肠上芯片用于快速选具有缓解肠炎功能的益生菌
Jing Wu1, Bowei Zhang1, Xiaoxia Liu1
1School of Medicine, Nankai University, Tianjin, 300071, China.
Advanced materials (Deerfield Beach, Fla.)
|September 30, 2024
概括
一个具有机器学习 (ML) 的新型肠上芯片系统有效选功能性益生菌. 这种方法确定了Bifidobacterium longum 3-14在缓解肠道炎症和改善屏障功能方面是有效的.
科学领域:
- 微生物学 微生物学
- 生物技术是生物技术.
- 生物工程是生物工程.
背景情况:
- 选功能性益生菌至关重要,但目前的方法,如动物研究和临床试验,耗时且昂贵.
- 开发有效和准确的方法来识别特定的益生菌功能是益生菌研究的一个关键挑战.
研究的目的:
- 开发一个智能肠上芯片系统,与机器学习 (ML) 集成,以高效地选缓解肠炎的功能益生菌.
- 建立一个高通量,标准化的平台,用于评估益生菌与宿主相互作用,并识别具有治疗潜力的菌株.
主要方法:
- 开发了一个微流体肠上芯片平台,以创建一个受控的肠道微环境,用于培养多种益生菌菌株.
- 无监督的基于ML的得分分析仪被用来评估12种Bifidobacterium菌株和宿主细胞之间的相互作用.
- 进行了体外和体内实验,以验证已识别的益生菌株的疗效.
主要成果:
- 开发的系统成功选了12种Bifidobacterium菌株,确定Bifidobacterium longum 3-14是最有效的.
- Bifidobacterium longum 3-14在缓解肠道炎症和增强表皮屏障功能方面表现出显著的有效性.
- 基于ML的方法准确地区分了益生菌菌株之间的治疗变异,优先考虑它们的疗效.
结论:
- 智能肠上芯片系统为选功能益生菌提供了一种经济,高效和准确的方法.
- 这项技术通过快速识别具有针对肠炎等疾病的特定治疗益处的菌株,推动了益生菌研究.
- 这些发现突显了将微流体技术与ML结合起来,为下一代药物发现和个性化医疗的潜力.
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