Subdoligranulum Didolesgii D8 Detection for Early Rheumatoid Arthritis Risk
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Solution Overview
Problem
Current methods for identifying individuals at risk for developing rheumatoid arthritis (RA) are inaccurate and marginally effective, with existing prediction tools only classifying 30-40% of individuals correctly, and there is a need for early diagnostic indicators to enable therapeutic intervention.
Innovation Solution
The presence or absence of Subdoligranulum didolesgii strain D8 in biological samples, such as feces, is used as a diagnostic and predictive indicator for RA, utilizing specific nucleic acid sequences (SEQ ID NO: 2 and SEQ ID NO: 3) for detection through PCR analysis or hybridization methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current prediction tools based on circulating antibodies and genetic factors are used, then classification of high-risk individuals can be performed, but the accuracy is low with only 30-40% classification accuracy
Solution Approach 1:
The patent changes the detection parameter from circulating antibodies and genetic factors to the presence and abundance of Subdoligranulum didolesgii strain D8 in fecal samples. This parameter change enables detection of individuals at risk for RA with higher accuracy, directly resolving the contradiction between measurement precision and predictive reliability by using a more sensitive and specific biomarker.
2Reliability
If early treatment is implemented, then joint damage and disability are decreased, but identification of at-risk individuals remains challenging and inexact
Solution Approach 1:
The patent extracts a specific bacterial strain (Subdoligranulum didolesgii strain D8) from the complex microbiome as a detectable biomarker. By focusing on this single extracted element rather than analyzing the entire microbial community or relying on indirect markers like antibodies, the method simplifies detection while maintaining high accuracy for identifying at-risk individuals, thus resolving the contradiction between treatment effectiveness and identification difficulty.
3Measurement precision
If new diagnostic methods are developed, then early identification of at-risk individuals is improved, but the complexity of detection methods increases
Solution Approach 1:
The patent employs molecular biology techniques (PCR, sequencing) that are already standardized and widely available in clinical laboratories. The method leverages existing technological infrastructure to detect bacterial DNA, rather than requiring new complex devices or procedures. This self-service approach uses established tools to achieve high early detection accuracy without proportionally increasing system complexity.
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 approach allows for early identification of individuals at risk for RA, enabling therapeutic intervention to slow or prevent tissue damage, with high specificity and sensitivity, detecting the strain even at low abundances in fecal samples.
Implementation Method 1
detecting the presence or absence of Subdoligranulum didolesgii strain D8, in a biological sample of a subject
Implementation Method 2
utilizing specific nucleic acid sequences (SEQ ID NO: 2 and SEQ ID NO: 3) for detection through PCR analysis or hybridization methods
Data Source
AI summary
Methods for the early detection of subjects at risk of developing rheumatoid arthritis, and subjects having early rheumatoid arthritis thus allowing for early intervention.