Unlock instant, AI-driven research and patent intelligence for your innovation.

Preparation method of mass spectrum model for detecting insulin resistance

A technology for insulin resistance, mass spectrometry model, applied in chemical instruments and methods, measurement devices, animal/human peptides, etc., to achieve reasonable and feasible design

Active Publication Date: 2018-07-24
BIOYONG TECH
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So far, there is no report on the detection of insulin resistance polypeptide markers using MALDI‐TOF‐MS technology in China

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
  • Preparation method of mass spectrum model for detecting insulin resistance
  • Preparation method of mass spectrum model for detecting insulin resistance
  • Preparation method of mass spectrum model for detecting insulin resistance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Embodiment 1. Materials and methods for establishing insulin resistance model

[0048] 1. Samples and instruments:

[0049] A total of 439 cases of serum samples, 288 cases as a training group, 151 cases as a blind sample group. There were 140 cases of insulin resistance in the training group and 148 cases in the normal group. The detailed sample characteristics are shown in Table 1. The number of insulin resistance and normal groups in the blind selection sample group is temporarily unknown. All serum samples were drawn in the morning on an empty stomach, and the serum was separated and stored in a ‐80°C low-temperature refrigerator.

[0050] Matrix-assisted laser desorption time-of-flight mass spectrometry CLIN-TOF and the WCX magnetic bead kit used in the experiment were developed by Bioyong Company of China. The data analysis software Bioexplorer of Bioyong Company was used to preprocess the data, and the processed data was processed by the statistical analysis ...

Embodiment 2

[0069] Embodiment 2, screening the characteristic polypeptide of insulin resistance

Embodiment 3

[0076] Example 3, Identification of Insulin Resistance Characteristic Polypeptides

[0077] Magnetic bead enrichment method

[0078] 1. After determining the peak to be identified according to Example 2, search for the sample with the highest intensity of the peak to be identified in the pre-processed samples.

[0079] 2. Obtain peptide samples according to the magnetic bead enrichment method in Case 1. Take 15 samples from each group and mix them into one tube. Centrifuge at 3000 rpm for 5 minutes. Take the supernatant on the magnetic stand and wait for the test.

[0080] Peptide sequence identification was performed using nano‐LC‐MS / MS platforms, including Aquity UPLC (Water, MA) and LTQOrbitrap XL mass spectrometer (Thermo Fisher, MA). The ion mode is positive ion mode, and the scanning range is 400-1500m / z. Sequence analysis was performed using Mascot (2.3.2) search, the precision of primary mass spectrometry was 50ppm, and the precision of secondary mass spectrometry...

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 a method for screening insulin resistance. According to the method, serum polypeptide related to insulin resistance is detected by a weak cation binding surface (WCX) chip based on a matrix assisted laser analytic ionization flight time mass spectrometer, and a diagnosis model is established through a statistical model. The method particularly comprises: a sample pretreatment method, 12 pieces of serum polypeptide which are detected by the mass spectrum and are used for modeling, distinguishing and diagnosing, as well as distinguishing models which are established based on 3 pieces of polypeptide and 12 pieces of polypeptide respectively. The method is simple to operate and high in accuracy, and a new thought is provided for screening insulin resistance.

Description

technical field [0001] The invention relates to the field of insulin resistance detection. Specifically, the peptide spectrum library related to insulin resistance is obtained by studying and comparing the serum polypeptide spectrum of insulin resistance and normal people, which provides abundant molecular targets for the clinical diagnosis of insulin resistance. Background technique [0002] Insulin resistance (IR) means that the biological effect produced after a certain amount of insulin binds to its specific receptor is lower than normal. It is manifested as a decrease in glucose uptake by peripheral tissues, especially muscle and adipose tissue, and a weakened effect of insulin on hepatic glucose output. It is a common risk factor and basis for many diseases such as obesity, hypertension, diabetes, and atherosclerosis. Because insulin resistance is involved in the formation of many diseases, and has brought serious consequences to the body, for example, it leads to a de...

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): G01N27/62
CPCC07K14/47G01N33/6848G01N33/6851G01N2800/042
Inventor 马庆伟曲海霞
Owner BIOYONG TECH