Nucleic Acid Assay for Bacterial Vaginosis Diagnosis
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Solution Overview
Problem
Current diagnostic methods for bacterial vaginosis (BV) have limitations in sensitivity and specificity, particularly the FDA-approved BD Affirm VPIII test, which has a sensitivity of 67.6% and specificity of 76.4%, and existing tests often rely on detecting a single indicator like G. vaginalis, failing to accurately diagnose BV in many cases.
Innovation Solution
A method involving a nucleic-acid-based assay that specifically detects Eggerthella and Prevotella species by targeting their 16S rRNA genes, using primers and probes to identify uncultured Eggerthella and Prevotella amnii, disiens, and bivia, with optional detection of Lactobacillus species to improve diagnostic accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the BD Affirm VPIII test is used to detect G. vaginalis, then the test is simple and rapid, but the sensitivity is only 67.6% and specificity is 76.4%, leading to inaccurate diagnoses
Solution Approach 1:
The diagnostic approach segments the detection task by targeting multiple specific bacterial genera (Eggerthella and Prevotella) separately through multiple primer sets and probes, rather than relying on a single indicator organism. This segmentation allows each assay component to focus on specific pathogens, improving overall diagnostic accuracy while maintaining operational simplicity through standardized nucleic acid detection procedures.
Solution Approach 2:
The invention creates a universal diagnostic platform that can detect multiple bacterial genera (Eggerthella and Prevotella species) using a single test system framework. The multi-functional assay design allows one test to simultaneously identify different pathogenic bacteria associated with BV, thereby improving diagnostic accuracy without requiring multiple separate tests.
2Device complexity
If a single indicator organism like G. vaginalis is detected, then the test is straightforward, but it fails to accurately diagnose BV in many cases due to limited sensitivity
Solution Approach 1:
The invention merges the detection of multiple bacterial genera (Eggerthella and Prevotella) into a single integrated diagnostic test. By combining multiple target organisms into one assay system with unified sample processing and interpretation, the test maintains operational simplicity while significantly improving diagnostic reliability through comprehensive pathogen detection.
Solution Approach 2:
The invention applies partial action by selectively detecting only the most clinically relevant bacterial genera (Eggerthella and Prevotella) rather than attempting to detect all possible bacteria. This selective approach maintains test simplicity while improving reliability by focusing on the most diagnostic indicators, avoiding the complexity of detecting every possible organism.
3Measurement precision
If multiple bacterial species are targeted for detection, then diagnostic accuracy improves, but the assay complexity increases
Solution Approach 1:
The invention applies local quality by designing specific, targeted detection sequences for each bacterial genus (Eggerthella and Prevotella) with unique primer and probe sets tailored to their specific 16S rRNA regions. This localized targeting approach allows precise detection of individual organisms while maintaining overall assay simplicity through modular, standardized detection units for each target.
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
The method achieves higher sensitivity and specificity, with a reported 95.6% sensitivity and 97.3% specificity compared to the Nugent Score, providing a more accurate diagnosis of BV.
Implementation Method 1
A method involving a nucleic-acid-based assay that specifically detects Eggerthella and Prevotella species by targeting their 16S rRNA genes, using primers and probes to identify uncultured Eggerthella and Prevotella amnii, disiens, and bivia
Data Source
AI summary
Disclosed are methods for diagnosing Bacterial Vaginosis (BV). The disclosed methods generally include detecting select species of Eggerthella and/or Prevotella, and optionally detecting select species of Lactobacillus. Also disclosed are nucleic acid oligomers and related compositions for detection of a 16S rRNA or its encoding gene from select species of Eggerthella, Prevotella, or Lactobacillus.