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. 2022 Jun 17;9:32. doi: 10.1186/s40779-022-00387-y

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© The Author(s) 2022

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Gradual recovery of the plasma metabonomics. a PCA, PLD-DA and OPLS-DA showed the gradual recovery of plasma metabonomics. b Average compositions and relative abundance of the metabonomics community among the three groups. c In the process of recovery, the key metabolites whose abundance gradually increased or decreased were identified. d Sphingosine-1-phosphate increased significantly during the recovery process. e Annotated metabolites were analyzed and compared between CPR1 and CPR0. f Annotated metabolites were analyzed and compared between CPR1 and HC.^***P < 0.001, pairwise comparisons among the three groups. CPR0 confirmed patients recover at discharge, CPR1 confirmed patients recover 1 year, HC healthy control, PCA principal component analysis, PLS-DA partial least squares discrimination analysis, OPLS-DA orthogonal partial least squares discrimination analysis