Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for determining gastrointestinal tract dysbiosis

A technology for flora imbalance and gastrointestinal tract, which is applied in application, diagnostic recording/measurement, special data processing application, etc., and can solve the problems of relative activity deviation, reduction, and imbalance of microbial groups

Active Publication Date: 2017-12-01
GENETIC ANALYSIS
View PDF9 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Clearly, perturbation of the GI microbiota results in deficiencies of certain microorganisms and / or excesses of others and / or reduced diversity and this results in a shift or imbalance in the relative activity of each microbial population

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
  • Method for determining gastrointestinal tract dysbiosis
  • Method for determining gastrointestinal tract dysbiosis
  • Method for determining gastrointestinal tract dysbiosis

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0145] Example 1 - Targeting and using multiple microbes or groups of microbes to determine dysbiosis in IBS and IBD patients Preparation of 54 probes for gastrointestinal microbiota profile

[0146] Materials and methods

[0147] human sample

[0148] Stool samples were collected from 668 adults (17-76 years; 69% female), including normal individuals (n=297) and patients with IBS (n=236) and IBD (n=135) (Table 1). Fecal samples were collected from hospitals in Norway, Sweden, Denmark and Spain (72%) and workplaces in Oslo, Norway (28%) to address heterogeneity. Normal donors have no clinical signs, symptoms or history of IBD, IBS or other organic gastrointestinal related disorders such as colon cancer. IBS samples were collected as part of a prospective study using Rome III diagnostic criteria to identify IBS. The distribution of IBS subtypes was 44% IBS-diarrhea, 22% IBS-alternating, 17% IBS-constipation, 11% IBS-not subtyped and 4% IBS mixed. The diagnosis of IBD ...

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 provides a method for determining the likelihood of GI tract dysbiosis in a subject, said method comprising providing a test data set, wherein said test data set comprises at least one microbiota profile, said microbiota profile being a profile of the relative levels of a plurality of microorganisms or groups of microorganisms in a sample from the GI tract of the subject and wherein each level of each microorganism or group of microorganisms is a profile element of said test data set, applying to said test data set at least one loading vector determined from latent variables within the profiles of the levels of said plurality of microorganisms or groups of microorganisms in corresponding GI tract samples from a plurality of normal subjects, thereby producing a first projected data set, applying to said first projected data set a transposed version of said at least one loading vector, thereby producing a second projected data set, comparing said test data set with said second projected data set and combining the differences between the corresponding profile elements of the second projected data set and the test data set and comparing the combined differences with a normobiotic to dysbiotic threshold value determined from the corresponding analysis of said plurality of microorganisms or groups of microorganisms in corresponding GI tract samples from a plurality of normal subjects and / or subjects with dysbiosis, applying at least one eigenvalue to said first projected data set, said eigenvalue determined from said at least one loading vector, and combining the resulting values for each profile element and comparing the combined values with a normobiotic to dysbiotic threshold value determined from the corresponding analysis of said plurality of microorganisms or groups of microorganisms in corresponding GI tract samples from a plurality of normal subjects and / or subjects with dysbiosis, wherein a microbiota profile with said combined differences or said combined resulting values in excess of said respective normobiotic to dysbiotic thresholds is indicative of a likelihood of dysbiosis.

Description

technical field [0001] The present invention relates to the diagnosis, monitoring and / or characterization of diseases and conditions associated with perturbations in the microbiota of the gastrointestinal (GI) tract. Rather, the present invention provides a means by which the state of the gastrointestinal microbiota can be assessed and can be easily implemented, reliable and robust and flexible enough to be used with any technique used to measure microbial levels in gastrointestinal samples Deviating from the normal state (normal flora) is determined in a way that the flora is out of balance. In more specific embodiments, such deviations can be to a quantifiable extent, and thus the present invention provides a means of determining the extent of gastrointestinal dysbiosis, which in turn can indicate the severity of an associated disease or condition or can be used to monitor associated Progression of a disease or condition or symptoms of a related disease or condition. Back...

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
IPC IPC(8): G06F19/00
CPCG16H50/20G16H50/30G16B5/20Y02A90/10A61B5/42A61B5/7275
Inventor T·林道尔M·卡尔松M·塞克尔加F·海格
Owner GENETIC ANALYSIS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products