Gene Expression Panel for Cystic Fibrosis Exacerbation Risk Stratification

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Solution Overview

Problem

Current methods lack reliable and sensitive molecular markers to categorize subjects at risk for increased pulmonary exacerbation and disease progression in cystic fibrosis, leading to inadequate treatment strategies and challenges in conducting effective clinical trials.

Innovation Solution

A method involving the detection of gene expression levels of specific genes (TLR2, ADAM2, PLXND1, CD163, CD36, CD64, CSPG2, IL32, HPSE, HCA112) in biological samples from subjects who have experienced a pulmonary exacerbation, compared to known gene expression profiles associated with increased pulmonary exacerbation, to categorize subjects at risk for disease progression.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If current methods are used to categorize subjects at risk for pulmonary exacerbation, then the categorization process is simple, but the measurement precision and reliability are insufficient

Engineering Contradiction:
Improvecategorization accuracyVSAvoidmethod complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex task of predicting pulmonary exacerbation risk by dividing it into multiple independent gene expression measurements. Instead of using a single complex marker, the invention measures expression levels of multiple specific genes (including TLR2, ADAM2, PLXND1, CD163, CD36, CD64, CSPG2, IL32, HPSE, and HCA112) separately, then combines these measurements to achieve high prediction accuracy. This segmentation allows each gene to be measured independently with high precision while maintaining overall method manageability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the measurement parameters from traditional clinical assessments to molecular gene expression levels. By measuring the expression levels of specific genes rather than relying on clinical symptoms or simple biomarkers, the invention achieves superior measurement precision. The method compares detected expression levels against established thresholds or reference ranges to categorize subjects into risk groups, transforming the categorization process from subjective clinical judgment to objective molecular measurement.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If gene expression detection is implemented, then the sensitivity and specificity improve, but the ease of operation decreases

Engineering Contradiction:
Improverisk prediction reliabilityVSAvoidoperational simplicity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent replaces complex mechanical and clinical assessment procedures with molecular biology-based detection methods. Instead of relying on physical examinations, symptom assessment, or complex imaging studies, the invention uses gene expression detection (such as qRT-PCR or other molecular assays) to directly measure biological markers. This substitution provides highly reliable and sensitive risk prediction, as gene expression levels directly reflect the underlying biological processes driving pulmonary exacerbation risk.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent performs preliminary detection of gene expression levels before clinical exacerbation events occur. By measuring the expression levels of risk-associated genes in advance (during stable periods or at early signs of deterioration), the method enables early identification of high-risk subjects. This preliminary action allows for proactive intervention before full-blown exacerbation develops, improving both reliability and enabling simpler operational protocols since samples can be collected during routine monitoring rather than during acute episodes.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If multiple gene expression markers are used, then the measurement precision increases, but the time and resources required increase

Engineering Contradiction:
Improverisk stratification precisionVSAvoiddetection time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent merges the measurement of multiple gene expression markers into a single integrated detection workflow. Rather than measuring each gene separately in sequential steps that would consume excessive time, the invention uses combined molecular assays (such as multiplex qRT-PCR or gene expression panels) that can detect multiple target genes simultaneously from a single biological sample. This merging approach maintains high measurement precision through multi-marker assessment while significantly reducing the time and resources required compared to sequential individual measurements.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent employs a universal detection platform that can measure multiple gene expression markers using a single methodology and sample type. The same molecular assay platform (e.g., quantitative reverse transcription PCR) is used to detect expression levels of all target genes (TLR2, ADAM2, PLXND1, CD163, CD36, CD64, CSPG2, IL32, HPSE, HCA112), eliminating the need for different specialized tests for each marker. This multi-functionality approach achieves precise risk stratification through comprehensive gene panel assessment while streamlining the detection process to minimize time loss and resource consumption.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250035617A1Methods for Categorizing and Treating Subjects at Risk for Pulmonary Exacerbation and Disease Progression
Publication Date: 2025.01.30 NAT JEWISH HEALTH
  • US20250035617A1 patent drawing
  • US20250035617A1 patent drawing
  • US20250035617A1 patent drawing

AI summary

The present invention is related to novel methods for categorizing and treating a population of subjects that are at risk for increased pulmonary exacerbation and disease progression.