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. 2022 Nov 23;13:1066244. doi: 10.3389/fphar.2022.1066244

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Copyright © 2022 Chu, Wang, Jia, Yang, Shi, Cui, Huang, Ye and Zhang.

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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Biomarkers identification after FZNZ treated in MC cells by metabolomics. Principal component analysis, each point represents a sample, and ellipses represent 95% confidence regions (n = 6) in (A) positive ion mode; (B) negative ion mode; OPLS-DA score plots in (C) positive ion mode; (D) negative ion mode; Permutation testing in (E) positive ion mode; (F) negative ion mode; The slope of R2 is greater than 0, and the intercept of Q2 on the Y axis is less than 0.05, indicating that the model is effective. (G) Volcano map. The abscissa is the fold change value of the difference, and the ordinate is the statistical test value of the difference in the expression of metabolites. Each dot in the figure represents a metabolite, and the size of the dot represents the VIP value. (H) Heatmap of potential biomarkers. Red depicts that the expression of biomarker was increased, blue depicts that the expression of biomarker was decreased.