SNP Detection for Predicting IFN-B Immune Response
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Solution Overview
Problem
There is a need for a method to predict the ability of a patient to produce an Interferon B (IFN-B) dependent adaptive immune response, which is crucial for the efficacy of therapies like radiotherapy, as current methods can only evaluate serum IFN-B levels after treatment, making it difficult to personalize treatment approaches.
Innovation Solution
Detecting specific single nucleotide polymorphisms (SNPs) such as rs12553564 and those in high linkage disequilibrium with it, including rs12551341, rs2275888, and rs10811449, in a biological sample to predict the likelihood of an IFN-B dependent adaptive immune response, allowing for a rapid and cost-effective prediction of treatment efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If serum IFN-B levels are measured to evaluate treatment efficacy, then treatment effectiveness can be assessed, but the measurement can only be performed after treatment administration
Solution Approach 1:
The patent applies preliminary action by detecting SNP genotypes (such as rs12553564) before treatment to predict IFN-B response capability in advance. This allows treatment selection to be based on predicted response rather than waiting for post-treatment measurement, thereby resolving the time delay contradiction while maintaining evaluation accuracy
2Reliability
If personalized therapy approaches are implemented based on genetic prediction, then treatment effectiveness is improved, but additional genetic testing is required
Solution Approach 1:
The patent extracts and focuses on specific, limited SNP markers (such as rs12553564 and related SNPs in linkage disequilibrium) that are strongly associated with IFN-B response. By selecting only these critical genetic markers rather than performing comprehensive genomic analysis, the method achieves reliable personalized treatment prediction while minimizing testing complexity
Solution Approach 2:
The patent changes the parameter of genetic analysis from comprehensive genome-wide screening to targeted detection of specific SNP alleles. This parameter change allows using simple allele-specific PCR or similar targeted methods instead of complex sequencing, thereby achieving reliable prediction with reduced technical complexity
Data Source
AI summary
The present invention relates to a method for predicting the efficiency of a treatment stimulating an IFN-β dependent adaptive immune response, comprising a step of detecting the rs12553564 single nucleotide polymorphism (SNP), or an SNP in high linkage disequilibrium with same, said SNP being selected from rs12551341, rs2275888, and rs10811449, in a biological sample of a subject in need thereof.