Genomic Analysis for Antimicrobial Resistance Profiling
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Solution Overview
Problem
Current methods for determining antimicrobial drug resistance in microorganisms are time-consuming and inefficient, particularly in patients with life-threatening infections, as they rely on culturing techniques that take at least 2 to 3 days to provide results, and existing molecular techniques often lack correlation with culture-based susceptibility tests.
Innovation Solution
A method combining structural variations in the genome, such as changes affecting multiple bases, with single nucleotide polymorphisms (SNPs), to analyze nucleic acid sequences of clinical isolates and correlate these genetic variations with antimicrobial drug resistance profiles, enabling faster and more accurate identification of resistant microorganisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If culture-based susceptibility testing is used to determine antimicrobial drug resistance, then the reliability of resistance determination is improved, but the time required for testing increases to at least 2 to 3 days
Solution Approach 1:
The patent replaces the biological/cultural testing system with a molecular genetics-based system. Instead of cultivating bacteria and observing growth inhibition (mechanical/biological process), the invention uses genomic sequence analysis to predict resistance (molecular process), thereby reducing test time while maintaining reliability through statistical correlation between genetic markers and resistance phenotypes
Solution Approach 2:
The patent performs preliminary genomic sequencing and analysis of resistance-associated genes and SNPs before actual treatment is needed. By pre-identifying resistance markers through molecular methods, the system eliminates the need for time-consuming culture-based testing during the critical treatment decision period
2Loss of time
If existing molecular techniques are used to detect resistance, then the time to result is reduced, but the measurement precision and correlation with culture-based susceptibility tests deteriorates
Solution Approach 1:
The patent merges multiple molecular detection approaches into a comprehensive system. It combines analysis of structural variations (insertions, deletions, duplications) with detection of single nucleotide polymorphisms (SNPs) in resistance genes, and integrates this data with phenotypic susceptibility information to create a unified resistance prediction model that maintains high correlation with culture-based tests
Solution Approach 2:
The patent changes the analytical parameters from simple presence/absence of resistance genes to a comprehensive profile including structural variations, SNP patterns, and their combinations. This multi-parameter approach captures the complexity of resistance mechanisms and improves measurement precision by considering multiple genetic factors simultaneously
Data Source
AI summary
The invention relates to a method of determining an antimicrobial drug resistance profile for a microorganism, wherein nucleic acid sequences of the microorganism are analyzed for structural variations of the genome comprising at least a change in the genome comprising more than one base, as well as for single nucleotide polymorphisms (SNPs), as well as a method of determining an infection of a patient with a microorganism potentially resistant to antimicrobial drug treatment and a method of selecting a treatment of a patient suffering from an infection with a potentially resistant microorganism, wherein the data of the antimicrobial drug resistance profile are applied.