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. 2021 Jan 18;6:22. doi: 10.1038/s41392-020-00427-w

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© The Author(s) 2021

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. 1 — Establishment and validation of OPLS-DA model (TB0 group vs. HC group), and screening of differential lipids. a The OPLS-DA model was able to separate the TB0 group from HC group clearly based on the selected lipid metabolites. b The model had good prediction ability, permutation test showed that R2X (cum) = 0.563, R2Y(cum) = 0.964, Q2(cum) = 0.822. c The differential lipids between the two groups were identified by volcanic map. The abscissa showed the different fold changes (logFC) of each lipid substance in different groups, the ordinate showed VIP value, and the different scatter colors and shapes represented the screening results of different lipid categories