Microbiome Characterization System for Autoimmune Diagnostics

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Solution Overview

Problem

Current methods for characterizing autoimmune diseases and providing tailored therapies based on microbiome analysis are limited by technological constraints, failing to effectively diagnose and treat conditions such as autoimmune disorders due to inadequate characterization of microbiome composition and functional features.

Innovation Solution

A method and system for characterizing autoimmune conditions by receiving aggregate samples from a population, analyzing microbiome composition and functional features, and generating models to diagnose and provide therapeutic measures, including probiotic, phage-based, and small-molecule therapies, tailored to individual microbiome profiles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If current methods are used for microbiome analysis, then general population-level insights can be obtained, but individualized diagnostic precision and therapeutic tailoring are insufficient

Engineering Contradiction:
Improveindividualized diagnostic precisionVSAvoidsystem complexity for individualized analysis
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the microbiome analysis system into distinct functional modules: sample processing units, genetic analysis units, data processing units, and therapeutic recommendation units. This segmentation allows the system to handle individualized analysis with high precision while managing complexity through modular architecture, where each module performs a specific function in the diagnostic workflow.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from traditional population-level aggregate analysis to multi-dimensional individualized analysis by incorporating subject-specific metadata (demographics, clinical history, lifestyle factors) alongside microbiome data. This dimensional expansion enables precise individualized diagnostics while the systematic integration of multiple data types provides a structured framework to manage the increased complexity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If comprehensive microbiome characterization is performed, then accurate disease prediction and therapy selection are improved, but processing time and resource requirements increase

Engineering Contradiction:
Improvedisease prediction accuracyVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements preliminary action by pre-processing and normalizing microbiome data during sample collection and initial analysis phases. Reference databases and analytical algorithms are prepared in advance, allowing comprehensive microbiome characterization to be performed efficiently when clinical samples are received, thus maintaining high prediction accuracy while reducing actual processing time for patient diagnoses.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses copying by creating virtual representations of microbiome communities through computational models and reference databases. Instead of performing exhaustive physical analysis of every sample from scratch, the system compares patient microbiome profiles against stored reference copies and models, enabling accurate disease prediction with reduced processing time and resource requirements.

Inventive Principle:
Principle #26Copying

3Manufacturing precision

If tailored probiotic and phage-based therapies are developed for individual subjects, then therapeutic effectiveness is improved, but manufacturing and delivery complexity increases

Engineering Contradiction:
Improvetherapy customization precisionVSAvoidtherapy production simplicity
Core Design Contradiction:
Manufacturing precisionVSEase of manufacture

Solution Approach 1:

The patent applies parameter changes by systematically varying key parameters in probiotic and phage formulations based on individual patient microbiome profiles. The system adjusts bacterial strain compositions, phage concentrations, and delivery vehicle parameters to match each patient's specific microbial ecosystem, achieving high therapeutic precision while using standardized manufacturing processes that can accommodate parameter variations efficiently.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements universality by developing a platform technology that can generate multiple tailored therapies from a core set of proven microbial strains and phages. The same diagnostic and formulation platform serves multiple therapeutic indications (autoimmune diseases, metabolic disorders, gastrointestinal conditions), and the manufacturing system can produce different customized formulations using common production lines and delivery mechanisms, reducing overall manufacturing complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10340045B2Method and system for microbiome-derived diagnostics and therapeutics for autoimmune system conditions
Publication Date: 2019.07.02 PSOMAGEN INC
  • US10340045B2 patent drawing
  • US10340045B2 patent drawing
  • US10340045B2 patent drawing

AI summary

A method for at least one of characterizing, diagnosing, and treating an autoimmune disorder in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the autoimmune condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the autoimmune condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.