(P25-012-24) Role of Nutrition in Alzheimer’s Disease and Nutrify Genie AI Tool Uses for the Discovery of Nutritional Pathways Related to Solutions and Its Significance

Objectives: Problem Statement: Alzheimer's disease remains a formidable problem, with minimal available drugs to stop its progression with no conventional interventions within the pharmaceutical domain.

Aim: The goal of this research is to explore the role of nutrition in managing Alzheimer’s (AZ) and to evaluate the prospect of Nutrify Genie Al (NG-AI) as a method for discovering efficient nutritional strategies.

Objectives:
1. To explore nutrition's role in AZ progression
2. To assess NG-AI understanding of related nutrient pathways
3. To validate findings through molecular docking
4. To provide tailored nutritional recommendations for AZ patients based on AI analysis.

Methods: Antioxidants, vitamins, and bio-actives  play a vital role in nutrition by providing essential nutrients. NG-AI tool functions on a sophisticated algorithm that detects complex nutritional pathways associated with the progression of the disease. In this study, NG-AI was used to detect the nutritional biomarkers of AZ progression and binding affinities of nutrients to the detected specific biomarkers for addressing the nutritional gaps. A molecular docking analysis was performed to confirm effectiveness of NG-AI suggested outputs.

Results: Upon subjecting NG-AI suggestions against 25 different ALZ  related proteins including  AChE, BChE and BACE1, tau proteins, beta amyloid plaques, It was noted that EGCG, Bacopa actives A, A1, IV (antioxidants), have binding energies of -9.96, -8.71, -9.14, -8.41 ΔG (kcal/mol) respectively. PPQ, Vitamin-D, B6 and DHA also showed excellent docking results while the standard Rivastigmine  was -6.7 ΔG (kcal/mol). These outcomes highlight the potential of specific nutrition roles in disease related pathways. Including antioxidants, vitamins and beneficial nutrients into diet is suggestive of reduced disease progression.

Conclusions: Our study indicates the significance of nutrition in managing AZ, NG-AI presents as a promising model for developing innovative therapeutic strategies within the nutrition, nutraceutical industries. Application of NG-AI into industrial practice has a potential to overturn treatment approaches for nutritional needs. Thus, our results open up new research areas with regard to nutrition.

Funding Sources: This research/project was conducted without any external funding sources or financial support.