Ocular Surface Microbiota Analysis for Conjunctival Disease Detection
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Solution Overview
Problem
Current methods lack an objective and highly reproducible means to evaluate aging states and the onset or progression of diseases, particularly conjunctival MALT lymphoma, with limited understanding of microbiota's role in ocular surface tissues.
Innovation Solution
A method involving metagenomic analysis of ocular surface microbiota using a next-generation sequencer to detect changes in microbial community structures, particularly through 16S rRNA gene analysis, to identify specific bacterial species associated with conjunctival diseases and aging biomarkers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional diagnostic methods (blood tests, diagnostic imaging) are used to evaluate aging states and detect conjunctival diseases, then the evaluation can be performed, but the methods lack objectivity and high reproducibility
Solution Approach 1:
The patent replaces conventional mechanical diagnostic methods (blood tests, imaging) with molecular biology-based metagenomic analysis. By sequencing 16S rRNA genes from ocular surface microbiota, the system achieves objective and reproducible detection of conjunctival diseases and aging biomarkers at the molecular level, eliminating the subjectivity and variability inherent in conventional methods
Solution Approach 2:
The patent shifts the detection parameter from macroscopic/physiological parameters (used in conventional diagnostics) to molecular genetic parameters. By analyzing changes in microbial community structure through gene sequencing, the system identifies disease states and aging markers with high precision and reproducibility, transforming the measurement approach to achieve superior diagnostic performance
2Reliability
If metagenomic analysis of ocular surface microbiota is performed, then objective and reproducible detection of conjunctival diseases is achieved, but the method complexity increases
Solution Approach 1:
The patent extracts and focuses on a specific marker (16S rRNA gene) from the complex microbial community for analysis. By targeting this conserved gene region, the system simplifies the metagenomic analysis process while maintaining high reliability in detecting conjunctival diseases and aging biomarkers, avoiding the need to sequence entire genomes or analyze all microbial functions
Solution Approach 2:
The patent uses 16S rRNA gene sequences as an intermediary marker to indirectly detect disease states and aging conditions. Instead of directly analyzing complex disease mechanisms or entire microbial communities, the system uses this conserved genetic marker as a proxy that reflects microbial community changes associated with pathology and aging, simplifying the detection approach
3Measurement precision
If invasive methods are used to detect conjunctival diseases, then accurate detection is possible, but healthcare costs increase and patient burden increases
Solution Approach 1:
The patent enables the ocular surface microbiota to serve as a self-diagnostic marker. By analyzing the natural microbial community already present on the eye surface, the system achieves accurate disease detection without requiring invasive procedures, additional samples, or complex interventions, making the diagnostic process simple and cost-effective
Solution Approach 2:
The patent creates a molecular copy (DNA sequence) of the microbial community structure on the ocular surface for analysis. This copying approach allows accurate detection of disease states through genetic markers without requiring physical invasion or manipulation of the actual tissue, maintaining accuracy while eliminating invasive procedures and reducing costs
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
Enables objective and reproducible detection of conjunctival diseases and aging states, reducing healthcare costs by identifying disease onset and progression without invasive methods, and providing insights into systemic diseases related to aging.
Implementation Method 1
metagenomic analysis of ocular surface microbiota using a next-generation sequencer to detect changes in microbial community structures, particularly through 16S rRNA gene analysis
Data Source
AI summary
A method for detecting conjunctival diseases such as conjunctival MALT lymphoma, and an aging biomarker that serves as an indicator of the aging state of a subject are provided. The method for detecting conjunctival diseases comprises a step of comparing a microbial community structure of a microbiota in an ocular surface tissue specimen sampled from a healthy person with a microbial community structure of a microbiota in an ocular surface tissue specimen sampled from a subject to determine that the ocular surface tissue specimen of the subject has an indication of the conjunctival diseases. The aging biomarker comprises bacterial species which belongs to the Corynebacteriaceae family or the Propionibacteriales family in an ocular surface tissue.