Method of detecting conjunctival disease using ocular surface tissue, and aging biomarker
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Solution Overview
Problem
There is a lack of objective and highly reproducible methods for evaluating aging states and the onset of conjunctival diseases, particularly conjunctival MALT lymphoma, with existing technologies failing to clarify the role of microbiota in ocular surface tissues.
Innovation Solution
The method involves analyzing the microbial community structure of ocular surface tissues using metagenomic analysis of 16S rRNA genes to detect changes in microbiota, specifically identifying bacterial species from the Delftia, Bacteroides, and Clostridium genera, and using Corynebacteriaceae and Propionibacteriales families as aging biomarkers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (blood tests, diagnostic imaging) are used to evaluate aging states, then existing evaluation means are available, but the methods lack objectivity and high reproducibility
Solution Approach 1:
The invention changes the evaluation parameter from conventional blood tests and imaging to microbiota composition analysis. Specifically, it uses the abundance ratios of indigenous bacteria (such as Propionibacterium acnes) on the skin surface as a new parameter to objectively and reproducibly evaluate aging states and health conditions.
Solution Approach 2:
The invention replaces conventional mechanical/physical evaluation methods (blood tests, diagnostic imaging) with a biological indicator system based on microbiota analysis. This substitution enables more objective and reproducible measurement of aging and health states through molecular biological techniques.
2Productivity
If exhaustive genome analysis using next-generation sequencer is performed to search for new biomarkers, then comprehensive biomarker discovery is achieved, but the results are influenced by confounding factors such as physical conditions
Solution Approach 1:
The invention focuses on specific local characteristics of the microbiota composition rather than analyzing all microbial species comprehensively. It specifically targets the abundance ratios of certain indigenous bacteria (e.g., Propionibacterium acnes) that show strong correlation with aging and health states, thereby achieving high specificity while maintaining productivity.
3Measurement precision
If microbiota analysis is used to evaluate aging states, then objective and reproducible evaluation is achieved, but the method requires sophisticated metagenomic analysis technology
Solution Approach 1:
The invention extracts and focuses on specific key indicators from the complex microbiota system - namely the abundance ratios of particular indigenous bacteria species. By isolating these specific bacterial indicators that strongly correlate with aging and health, the method achieves objective evaluation while reducing the complexity of the overall analysis system.
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 a comprises bacterial species which belongs to the Corynebacteriaceae family or the Propionibacteriales family in an ocular surface tissue.