Biosensor Monolayer Models for Inflammation Feedback Control
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Solution Overview
Problem
Current approaches fail to effectively break the positive feedback loop of chronic intestinal inflammation in inflammatory bowel disease (IBD), leading to unmet clinical needs for new diagnostic and therapeutic strategies.
Innovation Solution
Ex vivo monolayer models of human intestinal epithelia expressing biosensors responsive to inflammation-related signals are developed, allowing for the evaluation of test compounds' effects on inflammation by monitoring detectable output proteins, which indicate changes in inflammation levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current therapeutic approaches are used to treat inflammatory bowel disease, then treatment is provided, but the positive feedback loop of chronic intestinal inflammation cannot be effectively broken
Solution Approach 1:
The patent employs biosensors that detect inflammation-related signals and provide real-time feedback through detectable output proteins. This feedback mechanism enables monitoring of inflammatory processes and allows for dynamic adjustment of therapeutic strategies to effectively break the positive feedback loop of chronic inflammation in IBD.
2Measurement precision
If ex vivo monolayer models with biosensors are developed, then diagnostic and therapeutic evaluation capability is improved, but system complexity increases
Solution Approach 1:
The patent uses biosensors as intermediary elements that translate complex inflammation-related signals into detectable output proteins. These biosensors act as mediators between the inflammatory processes in the monolayer model and the detection system, enabling precise measurement of inflammation while managing system complexity through specialized sensing components.
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
These models provide a physiologically relevant system for characterizing inflammatory processes and identifying therapeutic compounds that either exacerbate or reduce inflammation, offering a promising tool for diagnosing and treating IBD.
Implementation Method 1
at least one promoter that binds to the inflammation-related signal and drives expression of a detectable output protein upon binding of the inflammation-related signal to the promoter
Data Source
AI summary
Ex vivo monolayer models of human interstinal epithelia that express sensors, and methods of use thereof for evaluation of the effects of test compounds on the human gut.