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. 2022 Aug 8;9:911845. doi: 10.3389/fcvm.2022.911845

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Copyright © 2022 Lu, Liu, Mei, Yu, Bai, Bao, Wang, Fu, Yi, Ge, Shen, Peng and Xu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Multivariate statistical analysis differentiates the groups of Control and Experimental groups based on clinical information (A) and metabolomic data (B), respectively. (1) PCA modeling displays the original similarity of the three groups. (2) PCA modeling displays the original similarity of the six groups. (A1,A2) R2X (cum) = 0.499, Q2 (cum) = 0.204; R2X (cum) = 0.499, Q2 (cum) = 0.204. (B1,B2) R2X (cum) = 0.504, Q2X (cum) = 0.324; R2X (cum) = 0.508, Q2X (cum) = 0.369. (3) PLS-DA modeling with the three groups. (A3) R2X (cum) = 0.364, R2Y (cum) = 0.463, Q2X (cum) = 0.288. Permutation tests with the intercepts of R2 < 0.125, Q2 < −0.338. (B3) R2X (cum) = 0.337, R2Y (cum) = 0.687, Q2X (cum) = 0.59. Permutation tests with the intercepts of R2 < 0.252, Q2 < −0.312. (4) PLS-DA modeling with the six groups. (A4) R2X (cum) = 0.326, R2Y (cum) = 0.342, Q2X (cum) = 0.26. Permutation tests with the intercepts of R2 < 0.079, Q2 < −0.134. (B4) R2X (cum) = 0.383, R2Y (cum) = 0.43, Q2X (cum) = 0.329. Permutation tests with the intercepts of R2 < 0.125, Q2 < −0.178.