Mass profiler professional software v 15

Non-parametric Kruskal-Wallis test was used to assess significant differences between groups of severity, employing Mass Profiler Professional (MPP) software v.15.1 (Agilent Technologies, Massachusetts, USA). Graphical representations were generated with GraphPad Prism software (version 9.0, GraphPad Inc., San Diego, CA) and Metaboanalyst 5.0. Both SPSS (version 21.0, SPSS Inc., Chicago, IL) and Metaboanalyst were employed to perform random forest analyses, and create binary logistic regression models and ROC curves to evaluate the potential accuracy of the selected biomarkers for predicting COVID-19 severity. Kruskal-Wallis test and χ2 test were used to determine the demographic and clinical features differences between groups of severity. The Spearman’s correlation coefficient, used to measure the association between the study cohort variables and groups of severity, was performed with SPSS. Results were considered statistically significant at p < 0.05.

Differences in energy intake, and biometric and serum parameters between the CTRL hamsters and the HFD hamsters, after 8 weeks, were analysed using Student’s t-test. At the endpoint (week 12), Student’s t-test was used to evaluate differences in energy intake, hepatic lipid content, biometric parameters, and serum parameters for the three pairs of conditions: HFD vs. CTRL, MED vs. CTRL, and MED vs. HFD. Differences in steatosis scores were evaluated using the Chi-squared test.
The same statistical analysis procedure was employed for both the N-glycan and lipidomics analyses. After the data processing, the normalized data matrices containing 72 identified-glycan-identified entities and 192 lipidic species were separately loaded on Mass Profiler Professional (MPP) software v.15.1 (Agilent Technologies, Santa Clara, MA, USA). Further data normalization was carried out which consisted of transforming data to a log2 scale. To determine the statistically significant differences (p < 0.05), a pairwise comparison with Student’s t-test was performed between HFD and CTRL, MED and CTRL, and, lastly, MED vs. HFD.