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. 2021 Dec 9;4:1381. doi: 10.1038/s42003-021-02904-6

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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. 5 — a, b Heatmap analyses of triacylglycerol (a) and phosphatidylcholine (b) levels in eWAT at R+2. The means of GC-WT/R+2 are set to one. c, d Total triacylglycerol (c) and phosphatidylcholine (d) levels in the eWAT of WT (blue) and Nrf2 KO (red) mice. The results are presented as the fold change compared to GC-WT mice and the means ± SD. Statistical analyses were performed using ANOVA followed by Tukey’s post hoc test. *P < 0.05, **P < 0.01 and ***P < 0.001. e–g Multivariate analysis (e) and levels of individual metabolites PC C34:2 (f) and TG (50:2) (g) to determine the relationship between lipid levels and the lipid droplet size in eWAT. Notably, the levels of PC C34:2 and TG (50:2) show very good correlations with the lipid droplet size. P values and Pearson’s correlation coefficient R (e) or R² (f, g) values with the corresponding 95% confidence interval (95% CI) are displayed (e). The top 10 metabolites and total triacylglycerol and phosphatidylcholine levels are indicated (e).