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. 2023 Jan 21;13:17. doi: 10.1038/s41398-023-02307-7

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© The Author(s) 2023

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — A HMDB compound classification of serum metabolites between the VPA_TD_FMT group and the VPA_ASD_FMT group; (B) Venn diagram showing the total number of metabolites in each group in the large circles, and the number of metabolites in both groups is shown in the overlapping portion of the circles; (C) Volcano plot of the differential metabolites of serum in the VPA_TD_FMT group and the VPA_ASD_FMT group; (D) Heatmap showing the abundances of the top 24 differential metabolites based on VIP scores of the VPA_TD_FMT group and the VPA_ASD_FMT group; (E) Serum KEGG pathways between the VPA_TD_FMT group and the VPA_ASD_FMT group; (F) KEGG enrichment pathways for serum metabolites in the VPA_TD_FMT group and the VPA_ASD_FMT group; (G) Correlation between the changes in serum metabolites and changes in genus abundance. The heatmap shows the Spearman correlation coefficient between the changes in serum metabolite concentrations and changes in the relative abundances of individual genera. The intensity of the colors represents the degree of association between the changes in the concentrations of serum metabolites and changes in the relative abundances of individual genera as measured by Spearman’s correlations. P-values were corrected for multiple testing using the Benjamini‒Hochberg false discovery rate. *p < 0.05.

Fig. 4 — A HMDB compound classification of serum metabolites between the VPA_TD_FMT group and the VPA_ASD_FMT group; (B) Venn diagram showing the total number of metabolites in each group in the large circles, and the number of metabolites in both groups is shown in the overlapping portion of the circles; (C) Volcano plot of the differential metabolites of serum in the VPA_TD_FMT group and the VPA_ASD_FMT group; (D) Heatmap showing the abundances of the top 24 differential metabolites based on VIP scores of the VPA_TD_FMT group and the VPA_ASD_FMT group; (E) Serum KEGG pathways between the VPA_TD_FMT group and the VPA_ASD_FMT group; (F) KEGG enrichment pathways for serum metabolites in the VPA_TD_FMT group and the VPA_ASD_FMT group; (G) Correlation between the changes in serum metabolites and changes in genus abundance. The heatmap shows the Spearman correlation coefficient between the changes in serum metabolite concentrations and changes in the relative abundances of individual genera. The intensity of the colors represents the degree of association between the changes in the concentrations of serum metabolites and changes in the relative abundances of individual genera as measured by Spearman’s correlations. P-values were corrected for multiple testing using the Benjamini‒Hochberg false discovery rate. *p < 0.05.