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Method for establishing diagnostic criterion of acute aortic dissection

A technique for the diagnosis of aortic dissection, a standard, used in the medical field

Active Publication Date: 2018-10-26
ZHONGSHAN HOSPITAL FUDAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, there are no good biomarkers clinically, and the diagnostic criteria for acute aortic dissection can be established by using biomarkers derived from biological samples, which can be used to predict the occurrence of AAD, prompt the progression and prognosis of AAD

Method used

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  • Method for establishing diagnostic criterion of acute aortic dissection
  • Method for establishing diagnostic criterion of acute aortic dissection
  • Method for establishing diagnostic criterion of acute aortic dissection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Inclusion and Exclusion Criteria of Example 1 Subject Sample

[0049] The inclusion criteria for patients with acute aortic dissection are as follows: 1) The patient has acute onset within 72 hours, and the symptoms of chest pain or back pain last for more than 5 minutes; 2) Acute aortic dissection has been confirmed by CTA imaging and graded according to the Stanford grading system; 3) This acute aortic dissection is the first episode; patients must meet all the above conditions at the same time before they can be enrolled.

[0050] The exclusion criteria for patients with acute aortic dissection are as follows: 1) patients with hereditary connective tissue diseases such as Marfan syndrome, Ehlers-Danlos syndrome, and Loeys-Dietz syndrome, or patients with related family genetic history; Patients with vascular-related diseases or patients with a history of vascular interventional surgery; 3) patients with continuous hemodialysis; patients who meet any of the above crit...

Embodiment 2

[0058] Example 2 blood sample collection and processing

[0059] 2.1 Blood sample collection and storage

[0060] All blood samples were collected on an empty stomach in the morning, collected with BD SST serum separation tubes, blood clots were removed, centrifuged at 1000g at 4°C for 10 minutes, the upper serum was collected, aliquoted into 200 μL PCR tubes, labeled, and stored at -80°C.

[0061] 2.2 Sample preprocessing

[0062] Serum was thawed at 4°C, and 20 μL of serum was put into a centrifuge tube, and 380 μL of 67% acetonitrile organic precipitant (methanol / acetonitrile=1:2, v:v) (containing 5 μM internal standard L-chlorophenylalanine) was added, and vortexed 30s, keep at room temperature for 5min to precipitate protein, centrifuge at 13000rpm at room temperature for 15min, take 120μL supernatant for UPLC-MS analysis. An equal volume of solution was taken from each sample and mixed to prepare a quality control sample (QC) for evaluating the stability of the experim...

Embodiment 3

[0067] Embodiment 3 data processing and multidimensional statistical analysis

[0068] 3.1 With the help of XCMSOnline (https: / / xcmsonline.scripps.edu / ) to complete the peak extraction, correction and Integrate to obtain a multivariate data matrix of sample information, ion information (retention time and mass / nuclear ratio m / z), and ion abundance. The corrected 80% rule was used to remove missing values. The intensity of each ion is calculated by normalizing the number of ions vs. the total number of ions across the chromatogram. Finally, the normalized data was imported into the SIMCA-P V11.0 (Umetrics, Sweden) software, and after centralization and standardization, PCA and PLS-DA multidimensional statistical analysis were performed, and the variable weights of different ions were calculated based on the PLS-DA statistical model Value (variableimportanceintheprojection, VIP), screen out VIP>1.5 ions. Preliminary characterization based on the existing metabolomics database...

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Abstract

The invention discloses a method for establishing a diagnostic criterion of acute aortic dissection. The method includes the following steps: selecting metabolites such as lysophosphatidylcholine andsphingolipids as variables or elements of mathematical statistics; collecting serum samples of subjects satisfying statistical quantity requirements; separately detecting the concentration or contentof the metabolites in each of the serum samples; and performing statistics and data processing on the variables or elements, and the concentration or content by utilizing a mathematical statistics method to obtain mathematical models used for judging whether it belongs to the acute aortic dissection and whether an acute aortic dissection positive result belongs to a Stanford A type or a Stanford Btype, and used as the diagnostic criterion for thr acute aortic dissection. The invention also discloses a kit used for acute aortic dissection diagnosis.

Description

technical field [0001] The invention belongs to the medical field, and in particular relates to a method for establishing diagnostic criteria for acute aortic dissection, and also relates to the application of sphingomyelin and L-acetylcarnitine as biomarkers in the diagnosis of acute aortic dissection. Background technique [0002] Acute aortic dissection (AAD) is a disease involving the aorta with a high mortality rate. Acute aortic dissection is caused by one or more breaches or hemorrhages in the aortic intima. Blood enters the media of the vessel through the intimal breach on the aorta and develops toward the proximal or distal end of the aorta, resulting in the separation of the vessel wall and the formation of a true aorta. A pathological change of false two chambers. The cause of death in patients with acute aortic dissection is often secondary to heart or great vessel complications caused by the rupture of the aorta into the pericardium, or end-organ damage caused ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G01N30/02G01N30/06G01N33/535
CPCG01N30/02G01N30/06G01N33/535G16H50/20
Inventor 王利新亓云鹏周修适王仁萍符伟国
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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