Peripheral Blood Gene Expression Profiling for Transplant Rejection Prediction
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Solution Overview
Problem
Current methods for predicting transplant rejection in organ transplantation are inadequate, leading to limited success due to immune system recognition of transplanted tissue as foreign, resulting in rejection and a shortage of available organs.
Innovation Solution
A method involving gene expression profiling in peripheral blood to identify specific patterns of increased and diminished gene expression, using genes such as UQCRB, BTF3, ST13, CUL4A, TERF2IP, ARRB2, and others, to predict transplant rejection and tolerance, allowing for personalized immunosuppressive therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gene expression profiling is used to predict transplant rejection, then early detection capability is improved, but device complexity and measurement complexity increase
Solution Approach 1:
The gene expression profiling system is segmented into specific gene panels (e.g., 40 genes, 12 genes, or 4 genes) that can be measured independently. This allows the complex measurement to be broken down into manageable components that can be assessed separately and combined for the final prediction.
Solution Approach 2:
The invention changes the measurement parameters from traditional clinical indicators to specific gene expression levels. By defining threshold values for gene expression ratios (e.g., increased expression of at least 4 genes with diminished expression of at least one gene), the system transforms complex biological data into actionable clinical predictions.
2Reliability
If gene expression profiling is implemented for transplant prediction, then reliability of rejection prediction is improved, but loss of time for analysis increases
Solution Approach 1:
The patent establishes predetermined gene expression patterns and threshold values before clinical application. The criteria for rejection prediction (increased expression of specific genes combined with diminished expression of other genes) are pre-defined, allowing rapid comparison against patient samples without requiring complex real-time analysis.
Solution Approach 2:
The invention creates a reference profile or standard pattern of gene expression that represents transplant rejection. Patient samples are compared against this pre-established copy or model, enabling quick identification of matching patterns without requiring de novo analysis of each sample from scratch.
3Duration of action of moving object
If traditional immunosuppressive therapy is continued without early detection, then treatment duration is extended, but loss of time for successful transplantation decreases
Solution Approach 1:
The gene expression profiling system provides continuous feedback on the patient's immune response to immunosuppressive therapy. By monitoring changes in gene expression patterns over time, the system enables dynamic adjustment of therapy duration and intensity, allowing early termination when tolerance is achieved or intensification when rejection is predicted.
Data Source
AI summary
The present invention provides methods and kits for predicting transplant rejection or tolerance. Methods for predicting the probability of cardiac allograft rejection via profiling of peripheral blood gene expression are also provided.