Circulating Lipidome Signature of Patients with Active Cushing Syndrome Revealed by Metabolomics (Supplemental material)

Published: 28 May 2020| Version 1 | DOI: 10.17632/hd2gshxh59.1
Arturo Vega


Supplemental material: 1. Additional File 1 (pdf) Figure S1. Overview of study design. Figure S2. Complete workflow followed in the present study. Figure S3. Differential association between arachidonic acid and BMI across CS and control group. Figure S4. PCA and PLS-DA models of metabolomic signature. 2. Additional File 2 (xslx) Table S1. Chromatographic separation and mass spectrometric detection conditions. Table S2. Raw concentration and biochemical data of the identified metabolites. Table S3. Descriptive statistics of metabolite concentrations. Table S4. Descriptive statistics of total concentrations from metabolic classes. Table S5. Concentration changes of serum metabolic classes in Cushing syndrome compared with control group. Table S6. Spearman correlations between the concentrations of metabolites from the same metabolic class grouped by CS. Table S7. Classification performance and selection of the PLS components. Table S8. Metabolomic signature performance based on sPLSDA model. Table S9. Pairwise correlations between the 374 metabolites assessed. Table S10. Differential correlations across groups between metabolites of the same metabolic class. Table S11. Cushing syndrome differential network correlations. Table S12. Centrality measures of differential network analysis. Table S13. Altered biochemical canonical pathways during CS.



Universitat de Barcelona