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. 2022 Mar 7;12:3674. doi: 10.1038/s41598-022-07810-3

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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(a). Differences in the predictive functional profiling between the two groups. The program PICRUSt2 can predict the role of bacteria identified from 16srRNA, including their function, by referring to a database (KEGG). Each of these predicted genes was classified according to the KEGG category. Among them, the categories with significant differences between the two groups are shown (q-value < 0.05). (b). The category detected with significant deference were sorted by level 2 of the KEGG category. The L-SMI group has many more pathways related to carbohydrate metabolism and less related to amino acid metabolism. In terms of amino acid metabolism, genes associated with valine, leucine, and isoleucine synthesis were the most abundant in the N-SMI group. Differences in function and metabolism suggest that the metabolites produced by the microbiome may differ.