Nutritional deficiencies, particularly in essential micronutrients such as vitamins, minerals, and vitaminoids, impose significant health burdens and economic costs worldwide. These deficiencies contribute to increased healthcare costs, higher morbidity and mortality rates, reduced productivity leading to GDP losses, and lower quality of life.
Therefore, by leveraging biobank data, this research aims to establish evidence-based correlations between micronutrient deficiencies and disease risk, enabling targeted intervention for populations with specific medical needs and mitigating added cost from conditions arising from said deficiencies.
Objectives
Identifying variations in known biomarkers and metabolomic profiles of micronutrient metabolism in populations affected by metabolic syndrome, dyslipidemia, diabetes, and geriatric conditions, as well as those undergoing pharmacological treatment for these conditions.
Exploring associations between micronutrient deficiencies and environmental, biological, genetic, and pharmacological factors in these patient populations.
Developing predictive models for at-risk groups based on dietary intake, pharmacological treatments, metabolic function, and environmental influences for personalized intervention strategies.
Research Questions
What are the key variations in biomarkers and metabolomic signatures of micronutrient metabolism in populations affected by metabolic syndrome, dyslipidemia, diabetes, and geriatric conditions, as well as those undergoing pharmacological treatment for these conditions?
How do environmental and pharmacological factors influence micronutrient biomarker levels in individuals receiving treatment for metabolic disorders and age-related conditions?
How can predictive models incorporating dietary intake, metabolic function, and pharmacological exposure be used to identify individuals at higher risk for micronutrient deficiencies and improve clinical outcomes?
