IL-1 Genotype Stratification for Recurrent Cardiovascular Event Prediction

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current treatments for cardiovascular disease (CVD) with statins are ineffective in preventing recurrent CVD events in 20-30% of patients, despite lowering LDL-C levels, and there is a need to identify individuals susceptible to recurrent events for enhanced monitoring and therapeutic interventions.

Innovation Solution

The discovery of specific IL-1 genotype patterns that stratify individuals into groups based on their likelihood of over-producing IL-1 and responding to clinical indicators such as Lp(a), OxPL, triglyceride-rich lipoprotein, LDL-C, CRP, and hypertension, enabling prediction of recurrent cardiac events and personalized treatment approaches.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If statins are used to lower LDL-C levels, then cholesterol levels are reduced, but recurrent CVD events still occur in 20-30% of patients

Engineering Contradiction:
ImproveLDL-C levelsVSAvoidprevention of recurrent CVD events
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent applies parameter changes by shifting from monitoring only LDL-C levels to evaluating multiple parameters including Lp(a), CRP, and IL-1 genotype patterns. This multi-parameter approach identifies patients at high risk for recurrent events despite adequate LDL-C control, enabling more reliable prevention strategies through personalized risk assessment and targeted therapeutic interventions.

Inventive Principle:
Principle #35Parameter changes

2Quantity of substance

If standard pharmacological treatment is provided, then LDL-C levels are lowered, but prediction of recurrent CVD events remains insufficient

Engineering Contradiction:
ImproveLDL-C levelsVSAvoidprediction of recurrent CVD events
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent applies segmentation by dividing patients into distinct risk groups based on IL-1 genotype patterns (risk alleles vs. non-risk alleles). This segmentation allows for personalized prediction of recurrent CVD events, where patients with risk alleles and elevated Lp(a) or CRP levels are identified as high-risk, enabling more precise measurement and prediction of event probability rather than using uniform treatment protocols.

Inventive Principle:
Principle #1Segmentation

3Reliability

If increased monitoring and aggressive treatment are provided to all patients, then recurrent events may be prevented, but treatment complexity and cost increase

Engineering Contradiction:
Improveprevention of recurrent CVD eventsVSAvoidtreatment regimen complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies local quality by tailoring treatment intensity to specific patient subgroups rather than applying uniform aggressive treatment to all patients. Patients with IL-1 risk alleles, elevated Lp(a), and high CRP levels receive intensified monitoring and aggressive lipid-lowering therapy, while other patients receive standard care. This localized approach maintains high reliability for prevention in high-risk groups without unnecessarily increasing complexity for low-risk patients.

Inventive Principle:
Principle #3Local quality

Data Source

PatentEP3568495B1Methods and kits for treating cardiovascular disease
Publication Date: 2023.07.05 SITOKINE LTD
  • EP3568495B1 patent drawingFigure 1A
  • EP3568495B1 patent drawingFigure 1B
  • EP3568495B1 patent drawingFigure 2

AI summary

The present invention relates to methods and kits for treating cardiovascular disease.