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Mass spectrum model for detecting decayed tooth protein and construction method

A mass spectrometry model and dental caries technology, applied in the field of dental caries detection, can solve the problems of undisclosed characteristic proteins or markers of oral diseases, and achieve the effect of reasonable and feasible construction method, high sensitivity and specificity, and reasonable and feasible design

Inactive Publication Date: 2014-01-01
毅新兴业(北京)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the report only discloses that mass spectrometry including matrix-assisted laser desorption ionization time-of-flight mass spectrometry can be used to study oral diseases, but does not disclose any specific characteristic proteins or markers of oral diseases. There is no report on the detection of caries markers or caries saliva characteristic proteins using MALDI-TOF-MS technology

Method used

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  • Mass spectrum model for detecting decayed tooth protein and construction method
  • Mass spectrum model for detecting decayed tooth protein and construction method
  • Mass spectrum model for detecting decayed tooth protein and construction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Example 1 Establishment of dental caries susceptibility mass spectrum model

[0044] 1. Samples and instruments:

[0045] The saliva samples were selected from 29 cases, 14 of which were from patients with dental caries, and the other 15 were from healthy people. The patients with dental caries were all confirmed by pathological reports. All saliva samples were taken on an empty stomach before eating in the morning, and the saliva was separated and stored in a -80 low-temperature refrigerator.

[0046] Matrix-assisted laser desorption time-of-flight mass spectrometry CLIN-TOF and the WCX magnetic bead kit used in the experiment were developed by China Bioyong Company. The data analysis software Bioexplorer of Bioyong Company was used to preprocess the data, and the processed data was processed by the genetic algorithm package genalg of the statistical analysis software R2.6.2.

[0047] 2. Technical route:

[0048] Collection of saliva: Collect saliva in BD tubes. Mi...

Embodiment 2

[0068] Example 2 Identification of caries characteristic protein

[0069] Magnetic bead enrichment method

[0070] 1. After the peak to be identified is determined according to the analysis, back check the sample with the highest intensity of the peak to be identified among the pre-processed samples.

[0071] 2. Identify the magnetic beads used in previous experiments. Treat 20 copies of this sample in parallel. Enrichment into one tube.

[0072] 3. Centrifuge at 1300rmp for 5min. Take the supernatant on a magnetic rack. Avoid leaving magnetic beads to affect later experiments.

[0073] 4. Spin the liquid dry and mark.

[0074] Adopt the Nano Aquity UPLC liquid phase system of Waters Company: the parameters are set as follows, trapping column: 5μm, 180μm×20mm, nanoAcquity TM Column; analysis column: 1.7μm, 75μm×150mm, nanoAcquity TMColumn; mobile phase A: 5% acetonitrile, 0.1% formic acid in water; mobile phase B: 95% acetonitrile, 0.1% formic acid in water, all so...

Embodiment 3

[0081] Example 3 Establishment of caries protein detection model and caries susceptibility detection

[0082] A total of 37 saliva standard samples were selected for model training, 9 of which were from dental caries patients and the other 28 were from healthy people.

[0083] In addition, among the 90 samples to be tested clinically, 30 were known to be from patients with dental caries, and the other 60 were from healthy people; the patients with dental caries were all confirmed by pathological reports.

[0084] All the above saliva samples were taken in the morning on an empty stomach without eating, and the saliva was separated and stored in a -80 low-temperature refrigerator.

[0085] The caries characteristic protein peaks screened in Example 1 were used to establish a mass spectrum model of caries proteins. The model is determined to use 3 input variables, namely: 3324.8m / z, 3186.2m / z, 3195.8m / z.

[0086] image 3 In the middle is the sample spectrum of the healthy gr...

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Abstract

The invention provides a mass spectrum model for detecting decayed tooth characteristic protein. The mass spectrum model comprises peaks with mass-to-charge ratios of 3324.8 m / z, 3186.2 m / z and 3195.8 m / z, wherein the protein represented as the mass-to-charge ratios of 3324.8 m / z, 3186.2 m / z and 3195.8 m / z in the model is the decayed tooth saliva characteristic protein; the down-regulated expression of the peaks of 3324.8 m / z, 3186.2 m / z and 3195.8 m / z predicts that a person belongs to the decayed tooth susceptible population. The mass spectrum model can be used for screening the decayed tooth susceptibility; the method is simple and easy to operate; the accuracy is high; a new idea is provided for screening the decayed tooth susceptibility.

Description

technical field [0001] The invention relates to the field of dental caries detection, and is a brand-new non-invasive detection method for early discovery and detection of dental caries in vitro. Background technique [0002] Tooth decay, sometimes people call it caries, scientific name caries. Its main cause is dental plaque. Dental plaque is an almost colorless film on the surface of teeth that contains bacteria that cause dental caries. After each meal, the bacteria in the plaque chemically react with the sugars or starches in the food to produce acid that erodes the teeth. Over time, the enamel of the teeth will be destroyed, forming relatively fragile small plaques, and if it continues to deteriorate, it will form a cavity, that is, tooth decay. Therefore, tooth decay develops from small plaques, not really moths or other bugs, but the result of gradual erosion of teeth. Tooth decay can lead to tooth decay and loss in severe cases. [0003] Tooth decay is a very se...

Claims

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Application Information

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IPC IPC(8): C07K14/47G01N30/72
CPCC07K14/47G01N33/6851G01N2800/18
Inventor 张学记马庆伟李燕刘晓霏林燕
Owner 毅新兴业(北京)科技有限公司
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