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. 2018 Aug 2;9:1042. doi: 10.3389/fphys.2018.01042

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Copyright © 2018 Dong, Zhang, Chen, Zhang, Tian, Cheng, Shang and Sun.

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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Identification of potential biomarkers related to diabetic cardiomyopathy development. (A) Metabolic changes of lipids in the five test groups. (B) Heat map. Only metabolites with VIP > 1 and P < 0.05 were selected, and different shades of color present the concentration (red, black, and green presented the high, normal, and low concentration, respectively). CON, control group; DCM, diabetic cardiomyopathy model group; MET 200, DCM + Metformin 200 mg/kg group; BER 10, DCM + Berberine 10 mg/kg group; BER 30, DCM + Berberine 30 mg/kg group; PC, phosphatidylcholine; PE, phosphatidylethanolamine; SM, sphingolipid. Statistical significance was evaluated by one-way ANOVA followed by LSD post-hoc test. *P < 0.05, **P < 0.01, and ***P < 0.001 vs. DCM group.