Fig. 1

(A) Principal component analysis (PCA) for Responders and Non-Responders. R2X (cumulative) = 0.563. Purple triangles indicate subjects who responded well to treatment (Res). Green squares denote subjects who did not respond to treatment (Non-res). Blue circles represent QC samples. (B) Spearman correlation and significance between the lipids expression levels and PANSS reduction rate, represented in a volcano plot. Red dots indicate a significant positive correlation, only the top 20 are labeled. Blue dots indicate a significant negative correlation. (C) LASSO coefficient path plot. (D) The 10-fold cross-validation curve identified the optimal λ value at 0.021, which yielded 23 non-zero coefficients. (E) The importance values of the top 20 lipids in Random Forest regression. (F) Correlation matrix of Spearman correlation coefficients for the 10 selected lipids