Abstract

Objective: This study aimed to investigate the possibility of creating an accurate dosing regimen that would estimate organ-specific levels of 25-hydroxyvitamin D (25(OH)D) thresholds, maximizing insulin sensitivity without disrupting calcium homeostasis.
Methods: Metabolic syndrome and vitamin D deficiency go hand in hand, but the typical supplementation does not consider the tissue-specific differences regarding vitamin D metabolism. To achieve the best possible insulin sensitivity results by balancing calcium levels, a precision dosing system was developed that established organ-specific thresholds for 25(OH)D. Ex vivo adipose, muscle, and liver cultures were exposed to graded titrations of 25(OH)D to find saturation levels of glucose uptake and insulin signaling. These limits were translated into individualized serum goals using the pharmacokinetic model optimized via reinforcement learning. This system was better than conventional dosing in Saudi adults and enhanced metabolism and inter-tissue variability.
Results: The dynamic dosing system was more effective than empirical vitamin D supplementation in enhancing insulin sensitivity, lowering inflammation, and addressing tissue-specific inconsistencies in vitamin D response in Saudi adults with metabolic syndrome.
Conclusion: This accuracy-dosing platform enhanced metabolic malfunction in metabolic syndrome-affected patients and also provided a scalable paradigm of nutrient optimization in managing chronic diseases. It promoted accuracy in nutrition by matching the supplement to the biological requirements of the tissues.

Key words: Vitamin D, 25-hydroxyvitamin D, tissue-specific thresholds, metabolic syndrome, ex vivo tissue profiling, calcium homeostasis.