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. 2020 Nov 4;11:466. doi: 10.1186/s13287-020-01972-5

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© The Author(s) 2020

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. 6 — Pseudotargeted metabolomics of nonlipids from ovarian samples. a Heat map of all three groups shows the trends of differential metabolite expression pattern before and after the hUCMSC treatment. b PCA score plot reveals differences in the expression levels of targeted metabolites after hUCMSC transplantation. c The box chart shows that pseudotargeted metabolomics is designed for the differential metabolites screened after POI modeling. The results show that the expression of some metabolites returns to the level of the control group after treatment. d KEGG was used to analyze the metabolic pathways of different metabolites that changed significantly after hUCMSC transplantation