CN-122000048-A - Individualized healthy intervention system based on brain intestinal axis theory

CN122000048ACN 122000048 ACN122000048 ACN 122000048ACN-122000048-A

Abstract

The invention provides a personalized health intervention system based on a brain-intestine axis theory, which specifically comprises the following steps of S1, performing home standardized sampling and low-temperature transportation, providing a standardized home sampling kit for a user to collect a stool sample of the user and store and transport the stool sample in a compliance manner, and transporting the sample to a detection point position, S2, performing high-throughput sequencing analysis on intestinal microbiota, which is used for receiving the stool sample obtained by a home sampling module, performing sequencing analysis on intestinal microbiota in the sample by a high-throughput sequencing technology, and outputting intestinal microbiota composition, abundance and function annotation data, and S3, collecting emotion and sleep phenotype data of the user, and collecting emotion and sleep related phenotype data autonomously reported by the user. According to the invention, through the standardized home sampling suite, the convenient collection and stable transportation of the intestinal flora sample are realized, a user does not need to go to a professional institution, the detection threshold is reduced, and the user participation degree is improved.

Inventors

ZHANG JIJUN
ZHOU RUNXIN
CHEN XIAO
XIA ZHENGLONG
PENG FEI
LI XIHONG
JIN XIN

Assignees

南京美宁康诚生物科技有限公司
北京美康基因科学股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260114

Claims (10)

1. A personalized health intervention system based on a brain-intestine axis theory, which is characterized by comprising the following steps: Step S1, home standardized sampling and low-temperature transportation are used for providing a standardized home sampling kit for a user to collect a stool sample of the user, store and transport the stool sample in a compliance manner, and transport the sample to a detection point position; Step S2, performing high-throughput sequencing analysis on intestinal flora, namely receiving a fecal sample obtained by the home sampling module, performing sequencing analysis on intestinal microbiome in the sample by using a high-throughput sequencing technology, and outputting intestinal flora composition, abundance and function annotation data; s3, collecting emotion and sleep phenotype data of a user, and collecting emotion and sleep related phenotype data reported by the user independently; Step S4, cloud platform data integration is used for building a cloud platform A, receiving flora data output by the high-flux sequencing analysis module, reading emotion and sleep related phenotype data autonomously reported by a user, and completing integration after cleaning and standardization treatment of the two types of data; step S5, establishing a personalized 'intestinal-brain' response model, which is used for establishing a user-specific 'intestinal-brain' response model through a machine learning algorithm based on the integrated flora data and phenotype data, and determining the relevance of intestinal flora and mental health indexes; Step S6, personalized digital nutrition recipe generation and pushing are used for dynamically generating a digital nutrition recipe containing a customized diet recommendation and probiotic combination based on the intestine-brain response model, and pushing to a user; And S7, dynamically updating the model and the nutrition formulation, wherein the model and the nutrition formulation are used for carrying out iterative optimization on the 'intestinal-brain' response model according to phenotype data fed back by a user regularly and intestinal flora data obtained by sequencing again, and synchronously updating the digital nutrition formulation.
2. The personalized health intervention system based on the brain-gut axis theory according to claim 1, wherein the sampling kit in the step S1 comprises a home sampling kit comprising a sterile sampling tube, a sample preservation solution, a sealed bag and a sampling operation instruction, wherein the sample preservation solution is a microbial preservation system free of nuclease pollution, and can maintain the structural stability of intestinal flora for at least 72 hours.
3. The personalized health intervention system based on the brain-intestinal axis theory according to claim 1, wherein the equipment used for sample preservation in the step S1 is a liquid nitrogen tank, and the liquid nitrogen tank stores the sample in the center for prolonging the sample preservation time.
4. The personalized health intervention system based on the brain intestinal axis theory according to claim 1, wherein the step S2 sequencing target region covers the full length or metagenome complete sequence of the 16SrRNA gene, and the analysis process comprises nucleic acid extraction, library construction, on-machine sequencing, data filtering and flora function annotation.
5. The personalized health intervention system based on the brain-gut axis theory according to claim 1, wherein the emotion-related data collected in the step S3 comprises pleasure, anxiety, stress level, and the sleep-related data comprises sleep duration, sleep-on duration, and sleep quality score.
6. The personalized health intervention system based on the brain-intestine axis theory according to claim 1, wherein the cloud platform data integration of the step S4 is realized by a user interaction interface carried by the cloud platform a, so as to support periodic updating and real-time uploading.
7. The personalized health intervention system based on the brain-intestinal axis theory according to claim 1, wherein the machine learning algorithm adopted in the personalized "intestine-brain" response model construction of the step S5 is a random forest, gradient lifting tree or neural network algorithm, the model training process uses intestinal flora data as input characteristics, emotion and sleep related phenotype data as output labels, and model parameters are optimized through cross verification.
8. The personalized health intervention system based on the brain-intestine axis theory according to claim 1, wherein in the step S6, the pushing mode is that the digital nutrition formulation is pushed to the user cloud platform account in the form of an image-text report, so as to support online viewing, downloading and printing, and meanwhile, the user is ensured to receive the digital nutrition formulation in time by pushing a reminder through a short message or a mobile application.
9. The personalized health intervention system based on the brain-gut axis theory according to claim 1, wherein the step S7 of periodically feeding back time is set to be fed back once a month for determining the intestinal flora change data of the user after using the nutritional formula, thereby facilitating the determination of the subsequent nutritional formula update.
10. The personalized health intervention system based on the brain-gut axis theory according to claim 1, wherein the new applicable strain and food material information is updated in step S7.

Description

Individualized healthy intervention system based on brain intestinal axis theory Technical Field The invention relates to the technical field of medical treatment, in particular to a personalized health intervention system based on a brain-intestine axis theory. Background People usually know the health condition of the physical examination and conduct targeted intervention according to the physical examination result, but the traditional physical examination has obvious application limitations that firstly, the physical examination period is generally half a year or once a year, the time span is long, real-time tracking of the health state is difficult to realize, secondly, physical examination report interpretation needs to rely on professional medical resources, the difficulty of autonomous understanding of a common user is high, the health management threshold is higher, thirdly, the improvement effect after intervention cannot be intuitively perceived in a short period for sub-health problems with hidden symptoms or early potential health risks, data verification is often needed to be passed after the next physical examination, and feedback timeliness is insufficient, fourthly, the traditional physical examination core focuses on screening and treatment of organic diseases, special evaluation of mental health states such as emotion and sleep is lacked, targeted intervention guidance is more difficult to be provided, and the management requirement of people on physical and mental cooperative health cannot be met. Disclosure of Invention The invention aims to overcome the defects of the prior art, and provides a personalized health intervention system based on a brain-intestine axis theory. In order to solve the technical problems, the invention adopts the following technical scheme: S1, home standardized sampling and low-temperature transportation are used for providing a standardized home sampling kit for a user to collect a stool sample of the user and store and transport the stool sample in compliance, and the sample is transported to a detection point position; step S2, high-throughput sequencing analysis of intestinal flora, step S3, collecting user emotion and sleep phenotype data, collecting user independently reported emotion and sleep related phenotype data, step S4, cloud platform data integration, step S4, cloud platform construction, receiving the flora data output by the high-throughput sequencing analysis module, reading the user independently reported emotion and sleep related phenotype data, cleaning and standardizing the two types of data, completing integration, step S5, establishing a personalized 'intestinal-brain' response model, establishing a user-specific 'intestinal-brain' response model based on the integrated flora data and phenotype data through a machine learning algorithm, determining the relevance of the intestinal flora and the mental health index, step S6, personalized digital recipe generation and pushing, dynamically generating a digital nutrition recipe comprising customized dietary probiotic composition based on the 'intestinal-brain' response model, step S7, carrying out iterative response optimization on the intestinal-brain response model, step S7, and the user recipe iteration optimization and the dynamic response model, the digital nutritional formulas are updated synchronously. Preferably, the sampling kit in step S1 includes a home sampling kit including a sterile sampling tube, a sample preservation solution, a sealed bag and a sampling operation instruction, where the sample preservation solution is a microorganism preservation system without nuclease pollution, and can maintain the structural stability of the intestinal flora for at least 72 hours. Preferably, the device used for sample preservation in step S1 is a liquid nitrogen tank, and the center of the liquid nitrogen tank stores the sample for prolonging the sample preservation time. Preferably, the step S2 sequencing target region covers the full length or metagenome complete sequence of the 16SrRNA gene, and the analysis process comprises nucleic acid extraction, library construction, on-machine sequencing, data filtering and flora function annotation. Preferably, the emotion-related data collected in step S3 includes pleasure, anxiety and stress, and the sleep-related data includes sleep duration, sleep-in duration and sleep quality score. Preferably, the cloud platform data integration in step S4 is implemented by the user interaction interface carried by the cloud platform a, so as to support regular update and real-time uploading. Preferably, the machine learning algorithm adopted in the personalized "intestinal-brain" response model construction in the step S5 includes a random forest, a gradient lifting tree or a neural network algorithm, the model training process uses intestinal flora data as input characteristics, uses emotion and sleep related phenotype data as output labels, and optimize