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. 2022 Feb 26;31:09636897221079745. doi: 10.1177/09636897221079745

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© The Author(s) 2022

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 4. — Identification of 18 biomarkers using LS-MS untargeted metabolomics screening. (A) Relative intensity analysis of the 18 potential biomarkers. Statistical significance between the two groups is marked, *P < 0.05, **P < 0.01, and ***P < 0.001 represent a significant difference in the OVX group versus sham group; #P < 0.05, ##P < 0.01, and ##P < 0.001 represent a significant difference in the BMSCT group versus OVX group. (B) The 18 potential biomarkers that are associated with the anti-osteoporotic effect of BMSCs using OPLS-DA-based ROC curves. BMSCT: bone marrow mesenchymal stem cell transplantation; OPLS-DA: orthogonal partial least squares discriminant analysis; OVX: ovariectomy; LC-MS: liquid chromatography–mass spectrometry.