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. 2020 Sep 29;10:15975. doi: 10.1038/s41598-020-72861-3

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© The Author(s) 2020

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 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/.

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Hierarchical clustering based on principal component analysis (PCA) of circulating NAEs and 2‑MAGs (n = 195). (A) Loading plot of the principal component analysis including all circulating levels of NAEs and 2-MAGs. (B) PCA visualization of NAE and 2‑MAG profile for each individual. Colors indicate the 3 clusters determined using hierarchical clustering. (C) Heatmap representation of normalized levels of each NAE and 2‑MAG according to the clusters. (D) Mean ± SD of circulating NAEs and 2‑MAGs by clusters. Analysis of variance and Tukey HSD post hoc statistics are shown: (a) 1 vs 2; (b) 1 vs 3 and (c) 2 vs 3. (E) Fat mass (kg) and (F) visceral adipose tissue mass (kg) according to clusters with analysis of variance and Tukey post hoc test. Letters indicate significant differences between clusters (p < 0.05).