Enteric microorganism-based health risk prediction system

A technology for gut microbiology and risk prediction, applied in the field of health risk assessment, can solve problems such as the lack of gut microbe monitoring and analysis systems, and achieve the effects of improving expansion and self-adaptive capabilities, reducing manual operations, and efficient management

Pending Publication Date: 2017-12-22
周礼红
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Despite the obvious importance of gut microbes, an effective and standardized gut microbiome monitoring and analysis system has been lacking in the field

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Enteric microorganism-based health risk prediction system
  • Enteric microorganism-based health risk prediction system
  • Enteric microorganism-based health risk prediction system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The present invention relates to a health risk prediction system based on intestinal microorganisms. The system includes a specimen information receiving function module, a high-throughput sequencing analysis data receiving and management module, an intestinal microorganism information management module, and a main interface of a reporting system;

[0068] Such as figure 1 As shown, the operating steps of the system include:

[0069] Step 1: Extract the DNA in the feces of the subject and perform high-throughput sequencing of all 16S rDNA in it; preferably the V3-V4 region or V4-V5 region fragment of 16S rDNA;

[0070] The information of the subject to be examined is entered into the specimen information receiving function module;

[0071] The result of the high-throughput sequencing is entered into the receiving and management module of the high-throughput sequencing analysis data;

[0072] Step 2: The specimen information receiving function module and the high-throu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of health risk assessment, and specifically relates to an enteric microorganism-based health risk prediction system. The system comprises a specimen information reception function module, a high-throughput sequencing analysis data reception and management module, an enteric microorganism information management module and a report system main interface. According to the system, a brand-new quality management system can be established, and automatic, informationalized, networked and intelligent management of quality control data is taken as the core, so that scientific, standard and efficient management for detection and understanding work of enteric microorganism floras and functions is realized, and the health conditions of human bodies are assessed through enteric microbiome data information.

Description

technical field [0001] The invention relates to the technical field of health risk assessment, in particular to a health risk prediction system based on gut microbes. Background technique [0002] In the human body, the number of human cells accounts for only 10% of the total number of cells, while the proportion of symbiotic microbial cells is as high as 90%. Most of the symbiotic bacteria live in the intestine, at least 1000 kinds, about 1.5 kg. The metabolites produced by these bacteria during their growth activities can enter the human blood and participate in the metabolic process of the human body. Beneficial bacteria can produce anti-inflammatory, analgesic, and antioxidant substances, and can also synthesize vitamins, amino acids, butyrate and other nutrients, which have nutritional and protective effects on the human body. Harmful bacteria can produce neurotoxins, carcinogens and free antigens, which can cause various chronic diseases such as autism, senile dement...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06F19/22
CPCG16B30/00
Inventor 周礼红黄依蓝
Owner 周礼红
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap