Li Longtao, Nielsen Jens, Chen Yu
Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Department of Life Sciences, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden; BioInnovation Institute, DK-2200 Copenhagen, Denmark.
Curr Opin Biotechnol. 2025 Feb;91:103248. doi: 10.1016/j.copbio.2024.103248. Epub 2024 Dec 31.
The impact of the gut microbiome on human health is increasingly recognized as dysbiosis has been found to be associated with a spectrum of diseases. Here, we review the databases of genome-scale metabolic models (GEMs), which have paved the way for investigations into the metabolic capabilities of gut microbes and their interspecies dynamics. We further discuss the strategies for developing community-level GEMs, which are crucial for understanding the complex interactions within microbial communities and between the microbiome and its host. Such GEMs can guide the design of synthetic microbial communities for disease treatment. Finally, we explore advances in personalized gut microbiome modeling. These advancements broaden our mechanistic understanding and hold promise for applications in precision medicine and therapeutic interventions.
肠道微生物群对人类健康的影响日益受到认可,因为人们发现生态失调与一系列疾病有关。在此,我们回顾了基因组规模代谢模型(GEMs)数据库,这些数据库为研究肠道微生物的代谢能力及其种间动态铺平了道路。我们进一步讨论了开发群落水平GEMs的策略,这对于理解微生物群落内部以及微生物群与其宿主之间的复杂相互作用至关重要。此类GEMs可指导用于疾病治疗的合成微生物群落的设计。最后,我们探讨了个性化肠道微生物群建模的进展。这些进展拓宽了我们的机制理解,并有望应用于精准医学和治疗干预。