Metabolic Genotype Classification for Personalized Weight Loss
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Solution Overview
Problem
Current weight loss programs lack personalization and fail to account for individual genetic susceptibility to obesity, leading to suboptimal weight loss and maintenance outcomes.
Innovation Solution
A method for determining a subject's metabolic genotype using specific polymorphic loci (FABP2, PPARG, ADRB2, and ADRB3) to classify them into nutritional and exercise categories, allowing for tailored dietary and exercise recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional weight loss programs are used without genetic information, then the program structure is simple and easy to implement, but the weight loss outcomes are suboptimal and personalization is lacking
Solution Approach 1:
The patent performs genotyping and metabolic profile assessment before initiating the weight loss program to pre-determine the subject's metabolic genotype and classify them into appropriate nutritional and exercise categories. This preliminary genetic characterization enables personalized program selection from the outset, improving weight loss outcomes without adding operational complexity during program execution.
Solution Approach 2:
The patent tailors specific dietary and exercise recommendations to match the subject's individual metabolic genotype characteristics. Different metabolic genotypes receive customized program components (e.g., specific macronutrient ratios, exercise types) rather than a uniform approach, optimizing effectiveness for each genetic profile while maintaining overall program structure.
2Reliability
If genetic testing and classification methods are implemented, then personalized weight loss recommendations can be provided, but the cost and time for determination increase
Solution Approach 1:
The patent divides the genetic analysis into focused assessments of specific metabolic pathways and gene variants most relevant to weight management. Rather than comprehensive whole-genome sequencing, the method targets key metabolic genes and pathways, reducing determination time and cost while maintaining sufficient personalization accuracy for effective program recommendation.
3Measurement precision
If comprehensive genetic profiling is performed, then the most suitable dietary regimen can be identified, but the complexity of genotype analysis increases
Solution Approach 1:
The patent extracts and focuses analysis on specific metabolic genes and pathways most directly related to weight management responses to diet and exercise. By isolating and analyzing only the relevant genetic variants and metabolic pathways rather than performing exhaustive genomic analysis, the method achieves high classification accuracy for personalization while keeping the analysis complexity manageable.
Data Source
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AI summary
This application relates to methods and tests that allow for the establishment of personalized weight-loss programs for a subject based upon the subject's metabolic genotype in key metabolic genes. Kits and methods are disclosed for determining a subject's metabolic genotype, which may be used to select an appropriate therapeutic/dietary regimen or lifestyle recommendation based upon the likelihood of a subject's responsiveness to certain diets and activity levels. Such a personalized weight-loss program will have obvious benefits (e.g., yield better results in terms of weight loss and weight maintenance) over traditional weight-loss programs that do not take into account genetic information.