Mabwi, H.A. Kim, Eun jung Song, Dae-Geun Yoon, Hyo Shin PAN, CHEOL HO Komba, E.V.G. Ko, Gwangpyo Cha, Kwang Hyun 2024-01-19T15:34:11Z 2024-01-19T15:34:11Z 2021-09-02 2021-01 2001-0370 https://pubs.kist.re.kr/handle/201004/117589 An exponential rise in studies regarding the association among human gut microbial communities, human health, and diseases is currently attracting the attention of researchers to focus on human gut microbiome research. However, even with the ever-growing number of studies on the human gut microbiome, translation into improved health is progressing slowly. This hampering is due to the complexities of the human gut microbiome, which is composed of >1,000 species of microorganisms, such as bacteria, archaea, viruses, and fungi. To overcome this complexity, it is necessary to reduce the gut microbiome, which can help simplify experimental variables to an extent, such that they can be deliberately manipulated and controlled. Reconstruction of synthetic or established gut microbial communities would make it easier to understand the structure, stability, and functional activities of the complex microbial community of the human gut. Here, we provide an overview of the developments and challenges of the synthetic human gut microbiome, and propose the incorporation of multi-omics and mathematical methods in a better synthetic gut ecosystem design, for easy translation of microbiome information to therapies. ？ 2020 The Author(s) English Elsevier B.V. Synthetic gut microbiome: Advances and challenges Article 10.1016/j.csbj.2020.12.029 1 Computational and Structural Biotechnology Journal, v.19, pp.363 - 371 Computational and Structural Biotechnology Journal 19 363 371 Y scie scopus 000684869700007 2-s2.0-85098722169 Biochemistry & Molecular Biology Biotechnology & Applied Microbiology Biochemistry & Molecular Biology Biotechnology & Applied Microbiology Article Biotechnology Medicine Archaea Functional activities Human guts Human health Mathematical method Microbial communities Microbiome Viruses clinical feature ecosystem human intestine flora mathematical model multiomics nonhuman omics priority journal Review Gut ecosystem Mathematical modelling Omics Synthetic microbiota