Alteration of Metabolic Profile and Potential Biomarkers in
Alteration of Metabolic Profile and Potential Biomarkers in the Plasma of Alzheimer&#x 02019; s Disease Shao Yaping, Ouyang Yang, Li Tianbai, Liu Xinyao, Xu Xiaojiao, Li Song, Xu Guowang, Le Weidong 1 Center for Clinical Research on Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China. 2 Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, China. 3 CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China. 4 University of Chinese Academy of Sciences, Beijing, China Figure 5. Correlation analysis of the metabolites panel with gender, disease severity and clinical characteristics. (A) ~ (E) Distribution of the levels of metabolite in different genders in Ctrl, NDC, MCI and AD. (F) ~ (K) Correlation analysis of the metabolite levels to disease progress. Correlation coefficients were based on Spearman correlation analysis. #, 0. 01 &#x 0003 C; p &#x 0003 C; 0. 05, ##, 0. 001 &#x 0003 C; p &#x 0003 C; 0. 01, ###, 0. 0001 &#x 0003 C; Aging and Disease, 2020, 11(6), 1459 -1470. DOI: 10. 14336/AD. 2020. 0217 p &#x 0003 C; 0. 001. (L) Correlations analysis of metabolite levels with clinical parameters, which was based on Pearson correlation analysis. Yellow square indicated the correlations between two variables were statistically significant.
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