Blood mRNA Expression Profiling for ARI Infection Classification
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Solution Overview
Problem
Current diagnostics for acute respiratory infections (ARIs) are limited in their ability to differentiate between bacterial and viral infections, co-infections, and non-infectious causes, leading to inappropriate antibiotic use, antimicrobial resistance, and delayed diagnosis of emerging pathogens.
Innovation Solution
A method and system for processing a blood sample by reverse transcribing mRNA molecules to cDNA, followed by optical detection, and analyzing gene expression signatures to classify infections as bacterial, viral, or non-infectious using pre-defined classifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic methods are used for acute respiratory infections, then the diagnostic process is simple and quick, but the ability to differentiate between bacterial and viral infections, co-infections, and non-infectious causes is limited
Solution Approach 1:
The diagnostic system segments the analysis into distinct functional modules: sample processing unit, nucleic acid extraction unit, reverse transcription unit, amplification unit, and detection unit. Each module performs a specific function in the diagnostic workflow, enabling comprehensive pathogen detection while maintaining operational simplicity through standardized protocols.
Solution Approach 2:
The diagnostic system employs universal primers and probes that can detect multiple pathogens simultaneously. The reverse transcription-polymerase chain reaction (RT-PCR) methodology serves multiple functions: it amplifies viral RNA, detects bacterial DNA, and can be adapted for various respiratory pathogens using the same basic platform, thereby achieving high differentiation accuracy without proportionally increasing system complexity.
2Productivity
If culture methods are used to identify bacterial pathogens, then the diagnostic approach is simple and inexpensive, but the detection time is extended to days and sensitivity is limited
Solution Approach 1:
The system performs preliminary nucleic acid extraction and reverse transcription before amplification and detection. By preparing the nucleic acid templates in advance and using highly sensitive PCR amplification, the method achieves rapid detection within hours rather than days, significantly improving productivity while the standardized protocols keep operational complexity manageable.
Solution Approach 2:
The invention replaces the mechanical culture process (requiring incubation over days) with molecular biology techniques (RT-PCR) that amplify and detect pathogen signatures directly from nucleic acids. This substitution eliminates the need for prolonged incubation periods and complex culture media preparations, achieving fast detection within hours while using well-established laboratory methodologies.
3Reliability
If broad-spectrum antibiotics are prescribed without confirmed bacterial infection, then treatment coverage is maximized, but antimicrobial resistance increases and inappropriate treatment occurs
Solution Approach 1:
The diagnostic system segments pathogen detection into distinct analytical pathways for viral and bacterial identification. By providing separate detection channels and interpretation protocols, the system enables clinicians to make targeted treatment decisions based on specific pathogen identification, thereby improving treatment accuracy while maintaining reasonable diagnostic complexity through structured workflows.
Solution Approach 2:
The system provides feedback through quantitative cycle threshold (Ct) values and pathogen load measurements that indicate the presence and magnitude of infection. This feedback mechanism enables clinicians to distinguish between active infections requiring treatment and incidental findings, allowing for evidence-based treatment decisions that reduce inappropriate antibiotic prescribing while maintaining high treatment reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides accurate differentiation between bacterial, viral, and non-infectious causes of ARIs, enabling precise treatment decisions and reducing antimicrobial resistance by optimizing antibiotic use.
Implementation Method 1
subjecting the plurality of mRNA molecules to reverse transcription to generate a plurality of complementary deoxyribonucleic acid (cDNA) molecules
Implementation Method 2
optically detecting the plurality of cDNA molecules or derivative thereof
Data Source
AI summary
The present disclosure provides methods and systems for processing a nucleic acid sample. The present disclosure also provides methods and systems for detecting (e.g., optically detecting) a pathogen in a sample. The methods provided herein may use nucleic acid amplification.