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| On the cover: The rising in the popularity of big data, artificial intelligence, and simulation technologies has opened up new opportunities for the development of our society. The close integration of real and artificial societies has become a trend, bringing in novel concepts such as parallel society and metaverse. The artificial society system describes, predicts, and guides the real society system, in a closed-loop, iterative, and spiral-rising way, forming a new mode of social operation driven by Data-AI-Simulation techniques. In the future, with the further development of interdisciplinary cooperation and the continuous advancement of technologies, living in metaverse is within reach. |
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| Position: Home > issue > September 13, 2022 Volume 3, Issue 5 |
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| Multi-omic analyses identify mucosa bacteria and fecal metabolites associated with weight loss after fecal microbiota transplantation |
Category: Report Download:  PDF  Figure  Endnote |
| Author: Fen Zhang, Tao Zuo, Yating Wan, Zhilu Xu, Chunpan Cheung, Amy Y. Li, Wenyi Zhu, Whitney Tang, Paul K.S. Chan, Francis K.L. Chan, Siew C. Ng |
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Graphical abstract
Fecal microbiota transplantation (FMT) has shown promising results in animal models of obesity, while results in human studies are inconsistent. We aimed to determine factors associated with weight loss after FMT in nine obese subjects using serial multi-omics analysis of the fecal and mucosal microbiome. The mucosal microbiome, fecal microbiome, and fecal metabolome showed individual clustering in each subject after FMT. The colonic microbiome in patients showed more marked variance after FMT compared with the duodenal microbiome, characterized by an increased relative abundance of Bacteroides.
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