Figure 3 | Scientific Reports

Figure 3

From: Dynamics of Plasma Lipidome in Progression to Islet Autoimmunity and Type 1 Diabetes – Type 1 Diabetes Prediction and Prevention Study (DIPP)

Figure 3

Regression coefficient plot from PLS-DA analysis at 3 months of age. This plot has the regression coefficient on the x-axis and variable importance in the projection (VIP) scores in the y-axis. A VIP score is a statistical estimate of importance of each variable in the PLS-DA model. In general, VIP score of >1 is suggest as a good candidates for the PLS-models. The regression coefficient represents the average changes in the response variable. The regression coefficient describe the relationship between a predictor variable (lipids) and the response (categorical variable CTR or PT1D). Positive sign indicates that as the predictor variable is positively correlated to given response variable. Here, positive and negative regression coefficients represent CTR and PT1D group response in the given PLS-DA model, respectively. Each lipid class is color coded. Abbreviations: cholesterol ester (CE), diacylglycerol (DG), lysophosphatidylcholine (LPC), phosphatidylcholine (PC), phosphatidylethanolamine (PE), sphingomyelin (SM) and triacylglycerol (TG).

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