Immune Cell Ratio Prediction for Anti-TNF Therapy Response
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Solution Overview
Problem
Current methods for treating rheumatoid arthritis with anti-TNF-alpha therapy are ineffective for approximately 30% of patients, as there is no reliable way to predict which patients will respond to the treatment before it is administered, leading to progression of the disease and inefficient healthcare resource allocation.
Innovation Solution
Determining the ratio of innate immune cells to adaptive immune cells in a patient's sample, using markers such as neutrophils, monocytes, B cells, and T cells, to predict responsiveness to anti-TNF-alpha therapy, thereby guiding the selection of appropriate treatment plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If anti-TNF-alpha therapy is administered to all rheumatoid arthritis patients as first-line treatment, then treatment coverage is maximized, but approximately 30% of patients experience treatment failure and disease progression
Solution Approach 1:
The patent applies preliminary action by determining the ratio of innate to adaptive immune cells in a biological sample before administering anti-TNF-alpha therapy. This pre-treatment assessment predicts patient response, allowing clinicians to select appropriate therapy in advance and avoid administering ineffective treatments that would waste healthcare resources on non-responders.
2Measurement precision
If immune cell ratio testing is performed before treatment, then treatment selection accuracy is improved, but diagnostic complexity and testing requirements increase
Solution Approach 1:
The patent extracts the specific immune cell populations of interest (innate immune cells and adaptive immune cells) from the complex biological sample and measures their ratios. By focusing on this specific extracted metric rather than comprehensive immune profiling, the method achieves high predictive accuracy while maintaining relatively simple assay procedures that can be implemented in clinical settings.
Data Source
AI summary
Described herein are methods for treating rheumatoid arthritis by determining whether a subject having rheumatoid arthritis will respond to an anti-TNF-alpha therapy based on the number of innate and adaptive immune cells in a sample from the subject prior to treatment.