About
Background:
1. Global prevalence of Type 2 Diabetes Mellitus (T2DM) and its implications on immune system health.
2. Current gaps in understanding the interaction between T2DM management strategies and immune-related diseases.
3. Necessity for a detailed exploration of lifestyle, metabolic, and genetic metabolic factors influencing T2DM patient immunity.
Objectives:
1.Assess how lifestyle habits (e.g., diet, physical activity) and treatment modalities affect immune system functions in T2DM patients.
2. Identify plasma metabolite profiles unique to T2DM patients with increased susceptibility to immune-related diseases.
3. Examine genetic predispositions that correlate with increased immune-related disease risk among the T2DM population.
Methodology:
1.Data Collection: Utilize UK Biobank data focusing on T2DM patients, extracting information on lifestyle factors, treatment details, metabolomics, and genetic data.
2.Analytical Approach: Perform statistical analysis to clarify the relationship between lifestyle, treatment and metabolic characteristics and immune health; use machine learning to model predictive disease risk based on multiple characteristics.
3. Genetic Analysis: Perform GWAS to identify SNPs linked to increased risk of immune-related diseases in the T2DM cohort.
Expected Outcomes:
1. Comprehensive insights into how modifiable factors (e.g., lifestyle, diet) and T2DM treatments influence patient immunity and disease susceptibility.
2. Identification of metabolic and genetic markers predictive of immune-related disease risks in T2DM patients.
3. Formulation of evidence-backed recommendations aimed at minimizing immune system compromise through tailored lifestyle and treatment adjustments.
Conclusion:
This research aims to fill critical knowledge gaps, providing valuable insights for healthcare professionals and T2DM patients to optimize health outcomes by managing disease impacts on the immune system effectively.