Food Sensitivity Test Kit Using Gender-Stratified IgG Cutoffs
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Solution Overview
Problem
Current food sensitivity tests for Functional Dyspepsia suffer from high false positive and negative rates, high intra-patient variability, and inter-laboratory variability, lacking a standardized method to identify trigger foods with certainty.
Innovation Solution
A test kit and method using a plurality of distinct food preparations coupled to individually addressable solid carriers, with an average discriminatory p-value of ≤0.07 or ≤0.10, and gender-stratified cutoff values to measure IgG binding, reducing false positives and negatives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standardized food sensitivity testing is implemented, then measurement precision and reliability improve, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The test kit is divided into multiple distinct food preparations, each coupled to individually addressable solid carriers. This segmentation allows for standardized testing of specific food items while maintaining overall kit manageability and reducing the complexity burden through modular organization.
Solution Approach 2:
The patent applies statistical parameter changes by selecting food preparations based on discriminatory p-values (≤0.07 or ≤0.10). This quantitative parameter approach standardizes the selection process, improving measurement precision through statistically validated food item selection while providing a clear framework that manages complexity.
2Loss of information
If multiple distinct food preparations are tested, then the ability to identify specific trigger foods improves, but the time and resources required for testing increase
Solution Approach 1:
Food preparations are pre-selected based on discriminatory p-values from patient cohorts, and coupled to solid carriers in advance. This preliminary action ensures that only statistically significant food items are included in the final test kit, improving identification accuracy while limiting the total number of items to test, thereby controlling testing duration.
3Measurement precision
If gender-stratified cutoff values are used, then measurement precision improves, but device complexity and data processing requirements increase
Solution Approach 1:
The patent implements local quality by applying different cutoff values based on gender stratification. Each gender group receives customized threshold criteria for interpreting test results, improving measurement precision for specific populations while maintaining a unified test kit structure that manages overall complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system significantly improves the predictive power of identifying trigger foods for Functional Dyspepsia by reducing false positives and negatives, providing a more accurate and personalized approach.
Implementation Method 1
The step of contacting is performed under conditions that allow IgG from the bodily fluid to bind to at least one component of the food preparation
Data Source
AI summary
Contemplated test kits and methods for food sensitivity are based on rational-based selection of food preparations with established discriminatory p-value. Particularly preferred kits include those with a minimum number of food preparations that have an average discriminatory p-value of ≤0.07 as determined by their raw p-value or an average discriminatory p-value of ≤0.10 as determined by FDR multiplicity adjusted p-value. In further contemplated aspects, compositions and methods for food sensitivity are also stratified by gender to further enhance predictive value.