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Method for establishing platform for analyzing and predicting cognitive impairment of diabetes based on metabonomics data

A technology of cognitive dysfunction and metabolomics data, applied in the field of analysis and prediction platform establishment, to achieve the effect of reducing morbidity and avoiding deterioration

Inactive Publication Date: 2015-09-23
THE SECOND HOSPITAL OF DALIAN MEDICAL UNIV
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Problems solved by technology

[0004] However, so far there is no relevant report on the method of analyzing endogenous components of plasma and obtaining metabolomics data by high performance liquid chromatography-mass spectrometry to establish a platform for analyzing and predicting cognitive dysfunction in diabetes

Method used

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  • Method for establishing platform for analyzing and predicting cognitive impairment of diabetes based on metabonomics data
  • Method for establishing platform for analyzing and predicting cognitive impairment of diabetes based on metabonomics data
  • Method for establishing platform for analyzing and predicting cognitive impairment of diabetes based on metabonomics data

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Embodiment Construction

[0030] Follow the steps below:

[0031] a. Take three groups of frozen plasma samples, which are healthy people in group A; patients with diabetes but not in group B

[0032] Suffering from cognitive dysfunction; group C diabetic patients but suffering from cognitive dysfunction; each group took 24 samples, and the three groups of plasma samples were thawed at room temperature for 15 minutes and vortexed for 5 seconds; 100μl of each sample was added to 300μl HPLC grade methanol, vortex and shake for 30s, and stand for 20min at 4°C; perform refrigerated centrifugation on all samples, 12000rpm, 4°C, 15min, and take the supernatant of each sample;

[0033] b. Pass the supernatant of each sample into LC / MS for separation;

[0034] The LC / MS instrument analysis platform is Agilent, 1290 Infinity LC, 6530 UHD and Accurate-Mass Q-TOF / MS.

[0035] Chromatographic conditions: The separation chromatographic column is a C18 chromatographic column (Agilent, 100 mm×2.1 mm, 1.8μm), and the separat...

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Abstract

The present invention discloses a method for establishing a platform for analyzing and predicting the cognitive impairment of diabetes based on metabonomics data. According to the method, a high-performance liquid chromatography-mass spectrometry combined technology is adopted to separate and identify three groups of blood plasma of a healthy person, a diabetic patient who does not suffer from the cognitive impairment and a diabetic patient who suffers from the cognitive impairment; substances obtained by separation are respectively subjected to main component analysis and partial least square discriminant analysis by software; difference metabolites are determined and structures of the difference metabolites are identified; and the obvious difference metabolites are selected to form the platform for analyzing and predicting the cognitive impairment of diabetes. The cognitive impairment of diabetes can be timely analyzed and predicted according to the blood plasma of diabetic patients, can be timely observed and timely treated; the morbidity of the cognitive impairment of diabetes can be reduced; and a series of family and social problems caused by the cognitive impairment of diabetes are avoided.

Description

Technical field [0001] The invention relates to a method for establishing an analysis and prediction platform, in particular to a method for establishing an analysis and prediction platform for diabetic cognitive dysfunction based on metabolomics data. Background technique [0002] Diabetes cognitive dysfunction is a common complication of diabetes. The main symptoms are decreased learning ability and memory impairment, and it can develop into dementia in severe cases. Although it is not the most serious complication of diabetes, the consequences of this disease are very serious. For example, if a diabetic patient forgets to take medicine, his condition will be aggravated. Diabetes patients are 50% more likely to suffer from cognitive impairment than normal people. Middle-aged patients with type 2 diabetes have a significantly higher long-term risk of dementia; 12-25% of elderly people over 65 have diabetes, worldwide 10 One out of 15 dementia patients is caused by type 2 diabet...

Claims

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Application Information

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IPC IPC(8): G06F19/00G01N30/02
Inventor 战丽彬张琳隋华梁丽娜路晓光
Owner THE SECOND HOSPITAL OF DALIAN MEDICAL UNIV
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