Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Target lipidomics method based on modelling-predicting strategy

A lipid group and strategy technology, applied in the field of medicine, can solve problems such as the difficulty of obtaining reference substances for lipids and the difficulty of accurate quantification of lipids

Active Publication Date: 2019-05-07
SHENYANG PHARMA UNIVERSITY
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the diversity and instability of lipids, lipid controls are difficult to obtain, making accurate quantification of lipids a major challenge

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
  • Target lipidomics method based on modelling-predicting strategy
  • Target lipidomics method based on modelling-predicting strategy
  • Target lipidomics method based on modelling-predicting strategy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] (1) First, the carbon chain length (x1) and the number of double bonds (x2) are taken as independent variables, and the declustering voltage (DP), collision energy (CE), retention time (RT), and response factor (RF) are taken as dependent variables Establish multiple linear regression model (Table 3), summarize LPC(13:0), LPC(14:0), LPC(15:0), LPC(17:0)LPC(18:1)LPC(19:0) The parameters of the liquid phase mass spectrometry of the LPC (20:0) reference substance are regular, and then use this equation to predict the corresponding parameters of the LPC that cannot obtain the reference substance. For the specific process, see figure 1 .

[0040] Table 3 Multiple reproducibility regression equation of liquid phase mass spectrometry parameters

[0041]

[0042] (2) Plasma sample pretreatment: Take 100 μl of plasma sample in EP tube, add 10 μl of methanol, 50 μl of internal standard solution, vortex mix for 30 s, add 400 μl of acetonitrile, vortex mix for 3 min, sonicate i...

Embodiment 2

[0047] (1) First, the carbon chain length (x1) and the number of double bonds (x2) are taken as independent variables, and the declustering voltage (DP), collision energy (CE), retention time (RT), and response factor (RF) are taken as dependent variables Establish multiple linear regression model (Table 3), summarize LPC(13:0), LPC(14:0), LPC(15:0), LPC(17:0)LPC(18:1)LPC(19:0) The parameters of the liquid phase mass spectrometry of the LPC (20:0) reference substance are regular, and then use this equation to predict the corresponding parameters of the LPC that cannot obtain the reference substance. For the specific process, see figure 1 .

[0048] (2) Plasma sample pretreatment: Take 100 μl of plasma sample in EP tube, add 10 μl of methanol, 50 μl of internal standard solution, vortex mix for 30 s, add 400 μl of acetonitrile, vortex mix for 3 min, sonicate in ice bath for 10 min, centrifuge at 4 °C ( 12000r / min) for 5min, the supernatant was taken for LC-MS analysis.

[004...

Embodiment 3

[0053] (1) First, the carbon chain length (x1) and the number of double bonds (x2) are used as independent variables, and the declustering voltage (DP), collision energy (CE), retention time (RT), and response factor (RF) are used as dependent variables Establish multiple linear regression model (Table 3), summarize LPC(13:0), LPC(14:0), LPC(15:0), LPC(17:0)LPC(18:1)LPC(19:0) The parameters of the liquid phase mass spectrometry of the LPC (20:0) reference substance are regular, and then use this equation to predict the corresponding parameters of the LPC that cannot obtain the reference substance. For the specific process, see figure 1 .

[0054](2) Plasma sample pretreatment: Take 100 μl of plasma sample in EP tube, add 10 μl of methanol, 50 μl of internal standard solution, vortex mix for 30 s, add 400 μl of acetonitrile, vortex mix for 3 min, sonicate in ice bath for 10 min, centrifuge at 4 °C ( 12000r / min) for 5min, the supernatant was taken for LC-MS analysis.

[0055] ...

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 belongs to the technical field of medicines, in particular relates to a target lipidomics method, and, more exactly, relates to high-efficiency and sensitive qualitative and quantitativeanalysis onto lysophosphatidyl choline (LPC) in plasma by utilization of a modelling-predicting strategy. According to the target lipidomics method in the invention, a multiple linear regression model is established by taking the carbon chain length (x1) and the double-bond number (x2) as independent variables, and the declustering potential (DP), the collision energy (CE), the retention time (RT) and the response factor (RF) as dependent variables; liquid mass spectrometry parameter rules of LPC(13:0), LPC(14:0), LPC(15:0), LPC(17:0), LPC(18:0), LPC(19:0) and LPC(20:0) reference substances are summarized; then, corresponding parameters that the LPC of the reference substance cannot be obtained are predicted by utilization of a equation; quantitative analysis of LPC in the plasma is carried out by utilization of the predicted liquid mass spectrometry parameters; biomarkers of different cancers are screened through independent sample T check, PLS-DA and a single-factor ROC curve; and furthermore, the diagnostic capability is evaluated through a multi-factor ROC curve.

Description

technical field [0001] The invention belongs to the technical field of medicine, and specifically relates to a method of target lipidomics, more precisely, a method of applying "modeling-prediction" to efficiently and sensitively qualitatively and quantitatively quantify lysophosphatidylcholine (LPC) in plasma analyze. Background technique [0002] Lipids are the skeleton components of biological membranes, and are important substances that participate in the life activities of organisms and provide energy for organisms. Lipidomics is an important branch of metabolomics. It is a systematic analysis of lipid substances in organisms, and studies their interactions and interactions with other biomolecules, thereby revealing lipid metabolism and the physiological and pathological processes of organisms. An emerging discipline of relationships. [0003] Due to the diversity of lipid skeletons, groups, and carbon chains, there are a large number of lipid compounds with different...

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
Inventor 李清毕开顺刘然许华容张倩于鑫淼韩涛
Owner SHENYANG PHARMA UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com