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This study investigates short-term intra- and inter-individual variability in human blood metabolism under real-life conditions. Using minimally invasive finger-prick blood sampling, dietary records, and wearable devices, we will longitudinally monitor blood-circulating metabolites and glucose levels in healthy individuals over a four-week period without dietary or lifestyle intervention. The study focuses on metabolic transitions between pre- and postprandial states during habitual daily activities and routine meals. Mass spectrometry-based metabolomics will be used to characterize metabolite profiles and their associations with diet, physical activity, sleep, and stress. In parallel, the study evaluates the feasibility of microsampling approaches, wearable-derived physiological data, and isotope-labelled standards for robust and cost-effective metabolite quantification. The results wil
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