Gene Expression Analysis for Respiratory Virus Detection
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Solution Overview
Problem
Current rapid diagnostic methods for acute respiratory infections, such as rhinovirus, influenza, and respiratory syncytial virus, lack sensitivity and are labor-intensive, making early detection challenging, especially in distinguishing between infectious causes of illness.
Innovation Solution
Determining gene expression levels of specific genes in peripheral blood cell samples, such as ATF3, CCL2, CXCL10, and others, to identify respiratory virus infections, and using these levels to communicate infection status to medical practitioners or administer appropriate treatments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional culture, antigen-based, and PCR based diagnostics are used, then infectious pathogens can be classified, but the methods lack sensitivity and are labor-intensive
Solution Approach 1:
The patent replaces manual labor-intensive diagnostic procedures with an automated gene expression analysis system. The method uses automated RNA extraction, reverse transcription, and quantitative PCR to detect viral infections, eliminating the need for manual culture techniques and antigen-based testing while significantly improving detection sensitivity through standardized automated workflows
Solution Approach 2:
The patent changes the detection parameter from direct pathogen detection (culture, antigen, or DNA) to detection of host gene expression responses. By measuring changes in gene expression levels of specific genes (such as interferon-responsive genes) in response to viral infection, the method achieves higher sensitivity while maintaining automated operation
2Speed
If direct-fluorescent antibody (DFA) testing is used, then rapid detection is achieved, but the method is labor-intensive and slow
Solution Approach 1:
The patent replaces manual DFA testing with an automated gene expression analysis platform. The workflow includes automated RNA extraction from clinical samples, reverse transcription to cDNA, and quantitative PCR using robotic liquid handling systems, thereby maintaining rapid detection capability while eliminating manual labor and associated delays
3Measurement precision
If current rapid diagnostic methods are used, then quick results are obtained, but sensitivity is insufficient
Solution Approach 1:
The patent shifts the detection parameter from direct viral detection to measurement of host gene expression responses. By quantifying the expression levels of specific genes (such as IFIT1, IFIT2, IFIT3, OAS1, OAS2, OAS3) that are upregulated in response to viral infection, the method achieves superior sensitivity while maintaining rapid turnaround through automated real-time PCR analysis
Solution Approach 2:
The method detects gene expression changes that occur early in the viral infection process, before symptoms fully develop or before viral load reaches detectable levels by traditional methods. This preliminary detection capability allows for earlier intervention while maintaining rapid diagnostic turnover
Data Source
AI summary
Methods of identifying infectious disease infection prior to presentation of symptoms, assays for identifying genomic markers of infectious disease, and methods for diagnosing the underlying etiology of infectious disease.