Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas, France.
Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Gut Microbes. 2024 Jan-Dec;16(1):2333434. doi: 10.1080/19490976.2024.2333434. Epub 2024 Mar 27.
Chronic digestive disorders are of increasing incidence worldwide with expensive treatments and no available cure. Available therapeutic schemes mainly rely on symptom relief, with large degrees of variability in patients' response to such treatments, underlining the need for new therapeutic strategies. There are strong indications that the gut microbiota's contribution seems to be a key modulator of disease activity and patients' treatment responses. Hence, efforts have been devoted to understanding host-microbe interactions and the mechanisms underpinning such variability. Animal models, being the gold standard, provide valuable mechanistic insights into host-microbe interactions. However, they are not exempt from limitations prompting the development of alternative methods. Emerging microfluidic technologies and gut-on-chip models were shown to mirror the main features of gut physiology and disease state, reflect microbiota modification, and include functional readouts for studying host responses. In this commentary, we discuss the relevance of animal models in understanding host-microbe interactions and how gut-on-chip technology holds promises for addressing patient variability in responses to chronic digestive disease treatment.
慢性消化疾病在全球范围内的发病率不断上升,治疗费用高昂,但尚无治愈方法。现有的治疗方案主要依赖于症状缓解,但患者对这些治疗的反应存在很大差异,这凸显了需要新的治疗策略。有强有力的证据表明,肠道微生物群的作用似乎是疾病活动和患者治疗反应的关键调节剂。因此,人们致力于了解宿主-微生物相互作用和支持这种可变性的机制。作为金标准的动物模型为宿主-微生物相互作用提供了有价值的机制见解。然而,它们并非没有局限性,这促使人们开发替代方法。新兴的微流控技术和肠道芯片模型被证明能够反映肠道生理学和疾病状态的主要特征,反映微生物组的修饰,并包括用于研究宿主反应的功能读数。在这篇评论中,我们讨论了动物模型在理解宿主-微生物相互作用中的相关性,以及肠道芯片技术如何为解决慢性消化疾病治疗中患者反应的可变性提供前景。