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Metabonomics marker kit for self-assembly detection of post-operation delirium and application

A technology of markers and kits, applied in the field of molecular biology, can solve problems such as time-consuming, high cost, and limited use, and achieve the effect of improving diagnostic sensitivity

Active Publication Date: 2020-09-29
SHANGHAI CHANGHAI HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004]However, at present, the molecules screened by metabolomics are all non-targeted detection, and there are many molecules to be detected, which is time-consuming and costly
Therefore, limiting its use

Method used

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  • Metabonomics marker kit for self-assembly detection of post-operation delirium and application
  • Metabonomics marker kit for self-assembly detection of post-operation delirium and application
  • Metabonomics marker kit for self-assembly detection of post-operation delirium and application

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Peripheral blood was collected from the two groups of patients, and then the serum was separated and stored in a -80°C refrigerator. After the serum was thawed slowly at 4°C, 100 μL was taken respectively, and 400 μL of pre-cooled methanol / acetonitrile solution (1:1, v / v) was added, mixed by vortexing, allowed to stand at -20°C for 30 min, and then centrifuged at 14000 g for 20 min at 4°C. Take the supernatant after centrifugation, dry it in vacuum, add 100 μL acetonitrile aqueous solution (acetonitrile: water = 1:1, v / v) for mass spectrometry analysis, redissolve, vortex, centrifuge at 14000 g 4 °C for 15 min, and take the supernatant for analysis.

Embodiment 2

[0043] The following experiment was performed for detecting the expression level of the target metabolic marker from the serum of the patient.

[0044]Specifically, the patient samples in were separated using an Agilent 1290 Infinity LC ultra-high performance liquid chromatography system. Mobile phase: liquid A is 25mM ammonium formate + 0.08% FA aqueous solution, liquid B is 0.1% FA acetonitrile. The sample was placed in an autosampler at 4°C, the column temperature was 40°C, the flow rate was 250 μL / min, and the injection volume was 2 μL. The relevant liquid phase gradient is as follows: 0-12min, B liquid changes linearly from 90% to 70%; 12-18min, B liquid changes linearly from 70% to 50%; 18-25min, B liquid changes linearly from 50% to 40% ; 30-30.1min, B solution linearly changed from 40% to 90%; 30.1-37min, B solution maintained at 90%. A QC sample is set at every interval of a certain number of experimental samples in the sample queue to detect and evaluate the stab...

Embodiment 3

[0048] Using the identification of metabolites obtained from the , a model was constructed. The learning model was built by support vector mechanism (SVM) to classify the two groups. SVM models were constructed using the digit 2, 3, 5, 10, 20, 26 features respectively, which were constructed using radial basis kernel functions based on C classification. For the training and testing groups, each feature model is repeated 40 different samples. This in turn lists the selection frequencies of metabolites across all models. Finally, we selected ten characteristic substances to construct the final SVM model. Under this parameter, the prediction accuracy reaches 83.8%, and the area under the curve is 0.91, indicating that the model performs well. From this, ten metabolic markers (oleamide, monoglyceride 180 / 00 / 00, L-histidine, L-leucine, guanosine monophosphate, dihydrogen sphingosine-1 phosphite, hemolytic Phosphatidylcholine 150, L-glutamine, L-acylcarnitine, uric acid) can be ...

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Abstract

The invention relates to the field of molecular biology, and in particular relates to a metabonomics marker kit for self-assembly post-operation delirium and application of the metabonomics marker kit. The kit for predicting post-operation delirium contains various metabonomics-related molecules, can rapidly detect the metabolite level of elderly patients, effectively distinguishes the metabolitelevels and predicts postoperative delirium. Meanwhile, the kit is successfully applied to detection of metabolites in serum of a post-operation delirium patient, and the detection result shows that the level difference of ten metabolites in serum of the post-operation delirium patient (n = 15) and serum of a post-operation non-delirium patient (n = 41) has statistical significance (P is less than0.05).

Description

technical field [0001] The invention relates to the field of molecular biology, in particular to a self-assembled metabolomics marker kit for postoperative delirium and its application. Background technique [0002] Postoperative delirium is a common postoperative complication in elderly patients. It refers to symptoms of decreased attention, consciousness, and cognition within 1 week after surgery. It is in line with the diagnosis of the fifth edition of the Manual of Neurological Disorders. It usually occurs 24-72 hours after surgery. , need to assist professional neuropsychological scales to determine the diagnosis. The incidence of postoperative delirium is as high as 52%, which not only prolongs the hospital stay of patients, increases treatment costs, but also increases the mortality of patients. At present, the diagnosis of postoperative delirium is mainly based on the diagnosis of the Fifth Edition of the Manual of Neurological Disorders and the Neuropsychological A...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/88
CPCG01N30/88G01N2030/8822
Inventor 余喜亚卞金俊卢文斌蒋政宇
Owner SHANGHAI CHANGHAI HOSPITAL
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