Microbiome Diagnostics for Personalized Mental Health Therapy
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Solution Overview
Problem
Current methods for characterizing mental health-associated conditions and providing tailored therapeutic measures based on microbiome analysis are limited due to challenges in sample processing techniques and data analysis, leaving many questions unanswered.
Innovation Solution
A method and system for characterizing mental health conditions by analyzing microbiome composition and functional features, generating datasets, and transforming them into diagnostic and therapeutic models using a population's aggregate data, enabling personalized therapeutic interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional psychiatric treatments (medication, talk therapy) are used, then treatment coverage is available, but they fail to address root biological causes and have limited effectiveness for many patients
Solution Approach 1:
The patent replaces conventional psychiatric treatment mechanisms (talk therapy, standard medication) with a microbiome-based biological intervention system. This involves using fecal microbiota transplantation or probiotic supplementation to modify gut microbiota composition, thereby treating psychiatric conditions through the gut-brain axis rather than through traditional psychological or pharmacological mechanisms.
Solution Approach 2:
The patent introduces gut microbiota as an intermediary between treatment intervention and psychiatric symptom improvement. The microbiota serves as a mediator that translates dietary or transplant interventions into neurological effects through metabolic pathways, neuroactive compound production, and immune system modulation, thereby treating psychiatric conditions indirectly through gut health modification.
2Measurement precision
If more research is conducted to understand microbiome-gut-brain axis, then better targeted treatments can be developed, but currently there is a lack of standardized protocols and clinical guidance
Solution Approach 1:
The patent employs parameter changes in microbiota composition, diversity, and functional capacity as diagnostic markers for psychiatric conditions. By measuring and comparing microbial parameters (species abundance, metabolic pathway activity, diversity indices) between healthy and affected individuals, the system achieves precise diagnostic classification and treatment matching.
Solution Approach 2:
The patent segments the complex microbiome system into analyzable components including specific bacterial taxa, metabolic pathways, and functional groups. This segmentation allows for targeted analysis of microbiota features associated with specific psychiatric conditions, enabling precise diagnostics and tailored probiotic or dietary interventions for different patient subgroups.
3Adaptability or versatility
If microbiome-based treatments are implemented, then personalized targeted therapy is possible, but currently microbiota composition varies significantly between individuals making standardization difficult
Solution Approach 1:
The patent applies local quality by tailoring probiotic strains, prebiotic substrates, or dietary recommendations to the specific microbiota composition and functional deficiencies identified in each patient. Rather than using standardized treatments for all patients, the intervention is customized to address individual microbiota imbalances, ensuring targeted efficacy for each patient's unique microbial profile.
Solution Approach 2:
The patent employs dynamic treatment protocols that adapt to changes in microbiota composition over time. Treatment duration, strain selection, and dosing are adjusted based on longitudinal monitoring of microbiota responses, allowing the therapy to evolve with the patient's microbial ecosystem and optimize effectiveness as the microbiome responds to intervention.
Data Source
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AI summary
A method for at least one of characterizing, diagnosing, and treating a mental health associated condition 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 mental health associated 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 mental health associated condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.