rRNA Hybridization Probes for Rapid Pathogen Identification
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Solution Overview
Problem
Current methods for identifying bacterial pathogens are slow, particularly in cases of bloodstream infections where bacterial burdens are low, and often result in delayed diagnosis due to reliance on culture-based techniques, which are prone to errors and do not account for antibiotic resistance.
Innovation Solution
A hybridization-based method using NanoString technology that targets conserved regions of 16S rRNA sequences specific to bacterial species, employing biotinylated and fluorescently labeled DNA oligonucleotides to detect pathogens directly from clinical samples, bypassing the need for PCR amplification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If culture-based methods are used for pathogen identification, then comprehensive organism identification can be achieved, but diagnostic time is excessively long (over 48 hours)
Solution Approach 1:
The patent extracts and targets specific rRNA sequences (16S, 23S, 5S) that are characteristic of different bacterial species. By designing probes that hybridize to these specific sequences, the method directly detects the pathogen's genetic signature without requiring full cultural identification, thus achieving rapid and accurate organism identification simultaneously.
Solution Approach 2:
The patent performs preliminary enrichment of rRNA targets using specific probes before final detection. The hybridization probes are designed to bind to conserved and variable regions of rRNA in advance, allowing the system to pre-identify potential pathogens in the sample before clinical decision-making is required, reducing overall diagnostic time.
2Measurement precision
If PCR amplification is used for molecular detection, then sensitivity is improved, but false positives and false negatives increase due to polymerase intolerance
Solution Approach 1:
The patent uses rRNA molecules as an intermediary target instead of DNA. Since rRNA is naturally abundant (thousands of copies per cell) and stable in clinical samples, it serves as a reliable mediator that provides intrinsic amplification without requiring PCR. The probes hybridize directly to rRNA, eliminating polymerase-related errors while maintaining high sensitivity through the natural abundance of the target.
Solution Approach 2:
The patent replaces the mechanical/chemical PCR amplification system with a hybridization-based detection system. Instead of using polymerases to amplify DNA, the method relies on the natural abundance of rRNA and probe hybridization to achieve detection, substituting an enzyme-dependent amplification process with a more stable and reliable nucleic acid hybridization process.
3Loss of time
If mass spectrometry is used for protein signature recognition, then rapid detection is achieved, but specificity is reduced due to similarity with human and environmental material
Solution Approach 1:
The patent targets specific local regions of rRNA that have distinctive quality characteristics - conserved regions for bacterial kingdom identification and variable regions for species-level differentiation. This local quality approach allows the probes to specifically recognize pathogen sequences while ignoring human and environmental background material, achieving both rapid detection and high specificity.
Solution Approach 2:
The patent segments the rRNA molecule into functionally distinct regions - highly conserved regions (for broad bacterial identification) and variable regions (for species-specific identification). By designing probes that target these segmented regions, the method achieves hierarchical identification that is both rapid and highly specific to the pathogen species.
4Measurement precision
If rRNA hybridization probes are designed for species-specific detection, then sensitivity is improved, but cross-reactivity with other species increases
Solution Approach 1:
The patent designs probes that target local quality differences in rRNA sequences - specifically the variable regions that differ between species while conserved regions remain similar. This allows probes to be highly sensitive to their target species while maintaining specificity by exploiting the local sequence variations that are unique to each pathogen species.
Solution Approach 2:
The patent employs a dynamic probe design strategy where probes can be adjusted to target different regions of rRNA depending on the specific pathogen being detected. The hybridization conditions and probe sequences are optimized dynamically for each species, allowing the system to achieve both high sensitivity for the target and high specificity by avoiding cross-reactivity with non-target species.
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 method enables rapid and accurate identification of bacterial species, even at low concentrations, reducing diagnostic time and improving treatment decisions by providing sensitive and specific detection of pathogens, including those resistant to antibiotics.
Implementation Method 1
A hybridization-based method using NanoString technology that targets conserved regions of 16S rRNA sequences specific to bacterial species, employing biotinylated and fluorescently labeled DNA oligonucleotides to detect pathogens directly from clinical samples
Data Source
AI summary
The present disclosure relates to method of distinguishing between two or more species of one or more organisms in a sample, by contacting a biological sample comprising ribosomal ribonucleic acid (rRNA) with a set of antisense probes, wherein the set of probes contains at least one detectable probe that is specific for a target rRNA sequence of each species to be tested, and wherein the individual probes specific for each species comprises less than about 85% sequence identity; and, detecting hybridization between one or more of the probes and the rRNA, thereby distinguishing between two or more species in a sample.