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. 2018 Oct 2;8:14616. doi: 10.1038/s41598-018-32804-5

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© The Author(s) 2018

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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Overview of the metabolite profiling results from the cord plasma samples.Total of 2401 molecular features were observed from the cord plasma samples. Panel A is showing the first and third component of a principal component analysis (PCA). Total of 77 component were needed to cumulatively explain 95% of the variance in the data. Panel B shows first two components of a partial-least-squares discriminant-analysis (PLS-DA). In the PLS-DA model (B), five components cumulatively explain 96% of the variance in the data between the groups. These five components are able to predict 57% of the data (leave-one-out cross-validation). Panel C shows the p-values (Student’s t-test), Cohen’s d effect sizes and VIP-values (from PLS-DA) of all molecular features. Total of 133 molecular features were significantly altered between newborns of PE and non-PE women after correction for multiple testing (adjusted α level = 0.00065, Bonferroni’s correction).