Mobile Application to Deliver Personalized Nutrition for the Prevention of Alzheimer s Disease

Genben Lifesciences dba GB HealthWatch is a digital health and nutritional genomics company Our mission is to help fight common diet and lifestyle related chronic diseases with precision nutrition and advanced mobile technologies Our company developed the HealthWatch mobile app for tracking dietary intake physical activity and health related symptoms This mobile app has received excellent reviews for both the iOS and Android platforms and has over registered users Health condition specific goals featured in the app provide refined nutritional recommendations based on clinical guidelines for the prevention of diet induced chronic diseases Alzheimer s disease AD is the leading cause of dementia in the U S the th leading cause of mortality and a major cost to the nation families and caregivers This phase I proposal is for the development of a mobile tool that will deliver personalized nutrition and meal plans based on genetic risk in order to mitigate AD risk Aim Develop a systematic process to identify specific dietary and nutritional components associated with AD Using the Genomes Phase database and nutritional analyses of the traditional diets that correspond with the populations we will analyze whether specific nutrients correlate with the frequency of genetic variants that predispose risk of AD We hypothesize that a population s fitness would be enhanced and AD risk would be lower when the genetic variants that are selected for in a given population are in equilibrium with a diet that is enriched or depleted with the correlated nutrient s We will develop statistical models that will quantify these relationships Aim Translate nutritional patterns to a set of quantitative recommendations for AD prevention With the nutrient data we obtain from Aim combined with other evidence based nutrition guidelines for AD we will synthesize a set of qualitative and quantitative nutritional rules based on the app user s genotypes family history of AD and other health conditions These genotype and or phenotype specific rules will estimate ideal ranges for a given nutrient and amend the conventional rules i e nutritional recommendations by the Dietary Guidelines for America Aim Mobile app for delivery of personalized meal plan for the prevention of AD This mobile application is designed for guided proactive and self executed prevention of AD and targeted at those who are at elevated risk We propose developing machine learning algorithms to create meal plans that employ the modified nutrient ranges from Aims and for a given AD risk genotype Users will be able to modify food preference parameters for example vegetarian while maintaining the appropriate nutrient ranges A key outcome of this project will be a platform that supports population wide dietary intervention by seamlessly connecting preventive healthcare with daily life in the digital age Alzheimer s disease is the most common form of dementia in the US with over million people suffering from this neurodegenerative disease Aside from those actually suffering with Alzheimer s this devastating disease takes an enormous toll on families and caregivers and is estimated to cost over $ billion in the US alone The exact cause of Alzheimer s disease is still being studied but there is a significant genetic component with APOE alleles most strongly predictive Nonetheless diet and lifestyle interventions have been shown to mitigate Alzheimer s risk even in those with APOE risk allele s Alzheimer s pathology begins decades before symptoms appear and therefore making dietary and lifestyle changes earlier in life would be a cost effective means of preventing disease later in life This proposal aims to develop a low cost evidence based mobile app that delivers personalized nutritional recommendations in the form of meal plans to those with genetic susceptibility to Alzheimer s disease