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. 2022 Sep 9;5:938. doi: 10.1038/s42003-022-03887-8

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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 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. 2 — The first three columns are the principal component analysis (PCA) score plots derived from the LC/MS (ESI+), LC/MS (ESI−), and GC/MS metabolite data, respectively. And the fourth column illustrates the multiblock principal component analysis of the data fusion of LC/MS and GC/MS. Plots in the fifth column are metabolic tree diagrams corresponding to the multiblock-PCA score plots using Mahalanobis distances, with p values for the null hypothesis shown at each branch. The first two principal components (Dim1 and Dim2) were estimated as sufficiently well represented by the principal plan generated by each PCA. The value of p < 0.01 was considered to be significantly different, which were marked in red. Green symbols correspond to Sham groups, yellow symbols to IR0h groups, red ones to IR6h groups and blue ones to IR72h groups. Pos mode: liquid chromatography-mass spectrometry (ESI+); Neg mode: liquid chromatography-mass spectrometry (ESI−); GC mode: gas chromatography-mass spectrometry. Shown here are representatives of three patterns we have identified.