Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Salivary protein fingerprint spectrum molecular diagnosis model establishing method of type II diabetes mellitus

A type 2 diabetes and fingerprinting technology, which is applied in the field of protein spectrum application, can solve the problems of large amount of specimens, low sensitivity, and complex detection methods of type 2 diabetes, and achieve the effect of strong specificity, high sensitivity, and excellent diagnostic efficiency

Inactive Publication Date: 2016-06-22
SHENZHEN ELDERLY MEDICAL RES INST +1
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] In view of this, the present invention aims to solve the problems of existing type 2 diabetes detection techniques such as complex methods, low sensitivity, poor specificity, long detection time, and large amount of specimens, and provides a method for establishing a type 2 diabetes saliva protein fingerprint molecular diagnostic model

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
  • Salivary protein fingerprint spectrum molecular diagnosis model establishing method of type II diabetes mellitus
  • Salivary protein fingerprint spectrum molecular diagnosis model establishing method of type II diabetes mellitus
  • Salivary protein fingerprint spectrum molecular diagnosis model establishing method of type II diabetes mellitus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0040] 1 Screening and diagnostic criteria of research subjects

[0041] 1.1 Case collection time

[0042] October 2014 - February 2015.

[0043] 1.2 Diagnostic criteria

[0044] 1.2.12 Western medicine diagnostic criteria for type 2 diabetes

[0045] Referring to the current "Guidelines for Diabetes Diagnosis and Treatment" published by the World Health Organization (WHO) and the American Diabetes Association (ADA) in 2014, the diagnostic criteria for type 2 diabetes are as follows:

[0046] The patient has typical symptoms of "three more and one less":

[0047] 1) Glycated hemoglobin (HbA1C) ≥ 6.5%;

[0048] 2) Fasting blood glucose concentration (FPG) ≥ 7.0mmol / L;

[0049] 3) Random blood glucose concentration (GLU) ≥ 11.1mmol / L;

[0050] 4) Oral glucose tolerance test (OGTT) 2-hour blood glucose concentration ≥ 11.1mmol / L, that is, take 75 grams of anhydrous glucose dissolved in water as the sugar load, and perform this in strict accordance with the requirements of t...

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
Sensitivityaaaaaaaaaa
Login to View More

Abstract

The invention discloses a method for establishing a type 2 diabetes salivary protein fingerprint molecular diagnostic model, comprising the following steps: sample collection; sample pretreatment; nano magnetic beads activation; saliva sample loading; nano magnetic beads elution; data collection; analysis; building diagnostic models. The present invention uses a liquid chip combined with MALDI technology to detect the saliva protein fingerprints of patients with type 2 diabetes, screens out 80 highly significant statistically significant differential protein peaks from the saliva proteins, and selects mass-to-charge ratios of 2082.92, 2499.24 and 2426.77 Differential protein peaks were modeled, with a recognition rate of 94.3% and a predictive ability of 93.3%. The results of clinical back substitution test showed that the sensitivity of the diagnostic model was 88.6%, and the specificity was 77.8%. It shows that the model has excellent diagnostic efficiency, high sensitivity and strong specificity for type 2 diabetes.

Description

technical field [0001] The invention belongs to the technical field of protein spectrum application, and in particular relates to a method for establishing a type 2 diabetes salivary protein fingerprint molecular diagnostic model. Background technique [0002] Type 2 diabetes (Type2diabetesmellitus, T2DM) is a common clinical metabolic disorder in the elderly. The biochemical examination mainly shows the increase of fasting blood glucose and (or) postprandial blood glucose. Typical symptoms may be accompanied by dry mouth, polydipsia, polyhydric In the late stage of the disease, patients often develop atherosclerotic lesions in the heart, brain, kidney and other tissues and organs, resulting in narrowing of the vascular lumen, which leads to a series of heart, brain, kidney, etc. Clinical manifestations of insufficiency of blood supply to tissues and organs such as the kidney, metabolic disorders and even failure. In critically ill patients, due to serious abnormalities in ...

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): G01N33/68
CPCG01N33/6893G01N2800/042
Inventor 吴正治孙珂焕曹美群黄飞娟杨长青
Owner SHENZHEN ELDERLY MEDICAL RES INST
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com