Glycoprotein Acetyls Biomarker Panel for Gallbladder Disorder Risk Prediction
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Solution Overview
Problem
Current methods lack effective biomarkers for predicting the risk of developing digestive system diseases, limiting early detection and targeted prevention strategies.
Innovation Solution
Determine quantitative values of specific blood biomarkers such as albumin, fatty acid ratios, triglycerides, and glycoprotein acetyls in biological samples, comparing them to control values to assess the risk of diseases like cholelithiasis and cholecystitis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic methods are used for digestive system diseases, then the diagnostic process is simple, but the prediction accuracy of disease risk is insufficient
Solution Approach 1:
The patent segments the diagnostic approach by identifying and measuring specific biomarker panels (glycoprotein acetyls, albumin, fatty acid ratios, triglycerides) separately, allowing each biomarker to be evaluated independently for its predictive value regarding digestive system disease risk
Solution Approach 2:
The patent applies parameter changes by measuring quantitative values of specific biomarkers (glycoprotein acetyls, albumin, fatty acid ratios, triglycerides) and comparing them against established thresholds or control values to determine disease risk stratification
2Reliability
If early detection methods are implemented, then prevention strategies can be targeted, but the cost of screening increases
Solution Approach 1:
The patent applies universality by using a multi-biomarker panel that can predict risk for multiple digestive system diseases (gallbladder disorders, pancreatic cancer, liver disease, colorectal cancer) simultaneously, making the screening test versatile across different disease types
Solution Approach 2:
The patent uses blood-based biomarker measurements as a surrogate copy or proxy for direct tissue analysis, allowing non-invasive screening that reflects internal disease processes without requiring invasive procedures
Data Source
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AI summary
A method for determining whether a subject is at risk of developing a digestive system disease is disclosed.