Overview of PC metabolomics. (A) The partial least squares discriminant analysis (PLS-DA) scores plots of short and long-term stored PCs using components 1 and 2. The clustering pattern highlights distinct metabolic profiles influenced by storage duration, indicating potential biochemical shifts over time. (B) The variable importance in projection (VIP) scores from the PLS-DA model, highlighting the metabolites that had the greatest influence on the separation between short- and long-term stored samples. Higher VIP scores indicate metabolites that contributed most to the observed metabolic differences, potentially identifying key biomarkers affected by storage duration. (C) Pretransfusion heat map of all included metabolites. All data were categorized by storage duration (short- or long-term stored). Hierarchical clustering was used to group metabolites in clusters. AMP, adenosine 5′-monophosphate; ATP, adenosine triphosphate; GDP, guanosine diphosphate; GMP, guanosine monophosphate; GTP, guanosine triphosphate; IMP, inosine monophosphate.