Optimization of a targeted metabolomics kit for dried blood spots analysis and longitudinal comparison with serum

Targeted metabolomics kit-based assays are widely used for quantitative metabolic profiling in clinical research. However, they are primarily validated for conventional matrices such as plasma and serum. Their direct application to dried blood spots (DBS) cannot be assumed and requires specific optimization due to intrinsic matrix-specific differences. This study aims to optimize the TMIC MTX MEGA assay for DBS analysis and matrix comparison. Validation was then conducted using paired longitudinal DBS and serum samples from participants in a clinical study. Principal component analysis revealed matrix-driven separation, highlighting clear distinctions of plasma/serum from DBS and confirming intrinsic matrix differences. Despite global differences, longitudinal trends across metabolite classes and at individual metabolite levels were largely concordant between DBS and serum. Class-specific differences were observed, particularly among lipid species and metabolites influenced by intracellular contributions, consistent with known biological factors. Although absolute concentrations differed for several metabolites, relative temporal changes were preserved. These findings demonstrate that targeted metabolomics kit-based assays can be successfully applied to DBS after specific workflow optimization. Overall, DBS provides reliable longitudinal metabolic profiling, supporting its use as an alternative matrix for minimally invasive sampling in clinical and population-based studies and targeted metabolomics applications.