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

Method for detecting susceptibility of SARS-CoV-2 and Covid-19 severe case risk prediction method

A detection method, sars-cov-2 technology, applied in the field of medical detection, can solve the problems of judging the susceptibility of the new coronavirus, achieve high accuracy, reduce mortality, and quickly and accurately predict the effect

Pending Publication Date:
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the expression of ACE2 in different tissues is different, and the susceptibility of the new coronavirus cannot be judged by testing living tissues

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 detecting susceptibility of SARS-CoV-2 and Covid-19 severe case risk prediction method
  • Method for detecting susceptibility of SARS-CoV-2 and Covid-19 severe case risk prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] A method for detecting susceptibility to SARS-CoV-2, such as figure 1 shown, including at least:

[0032] S1: Isolation of tryptic peptides from extracted body fluid proteolysis samples and quantification of ACE2 in body fluids based on trypsin digestion peptides,

[0033] S2: Establish a screening model for susceptible populations based on the abundance and distribution characteristics of ACE2,

[0034] S3: Compare the quantification of ACE2 protein in the body fluid of the individual with the screening model of susceptible population and determine the susceptibility to SARS-CoV-2.

[0035] In the present invention, the body fluid, preferably urine, is used to extract the protease digested sample.

[0036] Wherein, the method for extracting the body fluid protease digestion sample is as follows:

[0037] The urine sample is subjected to the first high-speed centrifugation for a period of time under the condition of 4° C. to normal temperature. Discard the supernatant...

Embodiment 2

[0067] This embodiment is a further improvement on Embodiment 1, and repeated content will not be repeated here.

[0068] The present invention provides a device for detecting susceptibility to SARS-CoV-2, also known as a system for detecting susceptibility to SARS-CoV-2, or an analysis and detection device for susceptibility to SARS-CoV-2.

[0069] Such as figure 2 As shown, the device for detecting the susceptibility to SARS-CoV-2 includes at least: a protein quantification module 20 and a modeling module 30 . The protein quantification module 20 performs quantification of ACE2 in the body fluid based on the trypsin-based peptide segment separated from the extracted body fluid proteolysis sample. Wherein, the protein quantification module 20 quantifies ACE2 in the body fluid based on the mass spectrometry data of the tryptic peptide. The source of the mass spectrometry data of the tryptic peptides is not limited. The mass spectrometry data of the trypsin-digested peptide...

Embodiment 3

[0079] This embodiment is a further improvement on Embodiments 1 and 2, and repeated content will not be repeated here.

[0080] This embodiment also provides a method for predicting the severe risk of the new coronavirus, which is characterized in that the method at least includes: separating the trypsin-digested peptides from the extracted body fluid protease digestion samples and performing the detection of the trypsin-digested peptides based on the trypsin-digested peptides in the body fluid. ACE2 quantification; establish a severe risk screening model based on the abundance distribution characteristics of ACE2; compare the quantification of ACE2 protein in body fluids of individuals with the severe risk screening model and predict the risk of severe disease of the new coronavirus.

[0081] Preferably, the method for establishing a severe disease risk screening model includes: statistically analyzing the distribution interval characteristics of the abundance of ACE2 in body...

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

PropertyMeasurementUnit
The inside diameter ofaaaaaaaaaa
Diameteraaaaaaaaaa
Lengthaaaaaaaaaa
Login to View More

Abstract

The invention relates to a method and a device for detecting the susceptibility of SARS-CoV-2. The method at least comprises the following steps: separating trypsin enzymolysis peptide fragments froman extracted body fluid protease digestion sample, and quantifying ACE2 in the body fluid on the basis of the trypsin enzymolysis peptide fragments; establishing a susceptible population screening model according to the abundance distribution characteristics of the ACE2; and quantitatively comparing the ACE2 protein in the body fluid of the individual with the susceptible population screening model, and determining the susceptibility of the SARS-CoV-2. According to the method, the susceptible population screening model is established according to the abundance of ACE2, so that the susceptiblepopulation of the COVID-19 can be rapidly and efficiently screened. The method can also be applied to screening and prediction of severe risks of the COVID-19.

Description

technical field [0001] The invention relates to the technical field of medical detection, in particular to a detection method and device for susceptibility to SARS-CoV-2, and a method and device for predicting the risk of serious illness of the new coronavirus. Background technique [0002] For now, COVID-19 will continue to coexist with humans. From an epidemiological point of view, the source of infection, the route of transmission, and the susceptible population are the three major links leading to the outbreak of infectious diseases, and the basic path to resolve the public health crisis is to start with these three links: isolate the source of infection (such as patients and animals), cutting off the route of infection (such as air, droplets, mosquitoes, etc.) and protecting susceptible groups. Among them, the success of link 1 mainly depends on the professional work and professionalism of medical workers, while the effectiveness of link 2 depends more on the epidemic ...

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): G16H50/30G01N30/02G01N30/72G01N30/88G16H50/50G16H50/70
CPCG16H50/30G16H50/50G16H50/70G01N30/02G01N30/7233G01N30/88G01N2030/8813G01N2030/8831
Inventor 秦钧
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