IBS Food Sensitivity Test Kit Using Discriminatory P-Value Selection
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Solution Overview
Problem
Current food sensitivity tests for irritable bowel syndrome (IBS) suffer from high false positive and false negative rates, high intra-patient variability, and inter-laboratory variability, lacking a standardized method to identify trigger foods with certainty, leading to ineffective symptom relief.
Innovation Solution
A test kit and method that includes a plurality of distinct food preparations coupled to individually addressable solid carriers, selected based on their average discriminatory p-value, allowing for gender-stratified IgG binding and measurement, and using ELISA tests to generate a report for improved predictive power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If commercially available food sensitivity tests are used to identify trigger foods for IBS patients, then test results can be obtained, but the tests produce high false positive rates and high false negative rates, rendering them nearly useless
Solution Approach 1:
The patent changes the selection criteria for food preparations from arbitrary or frequency-based methods to a statistically rigorous approach using discriminatory power analysis. Food preparations are selected based on their ability to distinguish between IBS and non-IBS subjects, with specific p-value thresholds (≤0.05 or ≤0.01) applied to ensure high reliability and minimize false positives and false negatives.
Solution Approach 2:
The patent performs preliminary statistical analysis on a large panel of food preparations to identify those with high discriminatory power before finalizing the test panel. This preliminary screening process ensures that only food preparations with proven ability to differentiate IBS from non-IBS subjects are included, thereby improving test accuracy before actual patient testing occurs.
2Reliability
If a standardized test panel is created to identify trigger foods, then consistency across laboratories can be improved, but the complexity of selecting and validating food preparations increases
Solution Approach 1:
The patent establishes specific quantitative parameters for food preparation selection, including discriminatory power thresholds (p-values ≤0.05 or ≤0.01) and minimum performance criteria. These standardized parameters enable different laboratories to select the same high-quality food preparations consistently, ensuring inter-laboratory reliability while providing clear guidance that reduces selection complexity.
Solution Approach 2:
The patent divides the food preparation selection process into distinct stages: initial screening of many food preparations, statistical analysis to identify those with high discriminatory power, and final selection of a manageable panel (e.g., 20-50 preparations). This segmentation makes the overall complex process more manageable and reproducible across different laboratories.
3Ease of manufacture
If food preparations are selected based on frequency of IgG positivity in preliminary experiments, then a test panel can be assembled, but the selection becomes arbitrary without clear rationale for choosing specific antigens
Solution Approach 1:
The patent replaces arbitrary frequency-based selection with a statistically rigorous discriminatory power parameter. Food preparations are evaluated based on their ability to statistically distinguish IBS from non-IBS subjects, with clear p-value thresholds providing an objective rationale for selection. This maintains ease of panel assembly while eliminating arbitrariness through transparent, quantifiable criteria.
4Quantity of substance
If a large panel of food allergens is tested to reduce false negatives, then comprehensive coverage is achieved, but false positive rates increase and test reliability decreases
Solution Approach 1:
The patent applies stringent discriminatory power parameters (p-values ≤0.05 or ≤0.01) to filter the large panel of food preparations. This statistical filtering ensures that only food preparations with high confidence in distinguishing IBS from non-IBS subjects are included, thereby maintaining comprehensive coverage while minimizing false positives and preserving test reliability.
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 solution significantly reduces false-positive and false-negative rates, providing higher predictive power in identifying trigger foods by accounting for gender variability, thereby improving symptom relief for IBS patients.
Implementation Method 1
contacting a food preparation with a bodily fluid of a patient that is diagnosed with or suspected to have irritable bowel syndrome. The bodily fluid is associated with a gender identification. It is especially preferred that 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.