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

Method for establishing prediction model of influence of fat emulsion on kinetics in drug body

A technology for predicting models and establishing methods, which can be used in preparations for in vivo experiments, pharmaceutical formulations, compound screening/testing, etc., and can solve problems such as rigidity

Active Publication Date: 2022-03-25
JIANGSU PROVINCE HOSPITAL THE FIRST AFFILIATED HOSPITAL WITH NANJING MEDICAL UNIV +1
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As for the research on the use of fat emulsion for drug overdose, the design is mostly limited to observing the changes in hemodynamics, blood drug concentration and other indicators of animals after fat emulsion intervention to reflect the effect of fat emulsion, and there are limitations to varying degrees.

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
  • Method for establishing prediction model of influence of fat emulsion on kinetics in drug body
  • Method for establishing prediction model of influence of fat emulsion on kinetics in drug body
  • Method for establishing prediction model of influence of fat emulsion on kinetics in drug body

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0062] The invention provides a method for establishing a prediction model of the influence of fat emulsion on drug kinetics in vivo, such as figure 1 shown, including the following steps:

[0063] Step 1, constructing a quantitative model of long-chain fat emulsion binding ability in vitro.

[0064] We selected different drugs (as shown in Table 1) and used isothermal titration calorimetry and high performance liquid chromatography to quantify the ability of fat emulsion to bind drugs;

[0065]

[0066] Table 1 Drug information

[0067] Step 1-1, collect the particle concentration under different mass concentrations of fat emulsion, and obtain the thermodyn...

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 discloses a method for establishing a prediction model for the influence of fat emulsion on kinetics in a drug body. Comprising the following steps: constructing a quantitative model of the drug binding capacity of the long-chain fat emulsion in vitro; constructing a kinetic quantitative model for distributing the medicine to the fat emulsion in vitro; the influence of fat emulsion on pharmacokinetics after quantitative drug excess; and constructing a prediction model of in-vivo pharmacokinetic behaviors through an in-vitro quantitative experiment. On the basis of the phenomenon that fat-soluble drug molecules diffuse to the fat emulsion, an isothermal titration calorimetry method and a high performance liquid chromatography analyzer are used for analyzing the diffusion phenomenon of the drug, and a reliable prediction model for predicting the drug binding capacity of the fat emulsion in vitro is established; an ultraviolet-visible spectrophotometer is used for quantitatively monitoring the speed of combining the fat emulsion with drug molecules in real time, an animal model is established to analyze the influence of the fat emulsion on pharmacokinetics of drugs, and then a prediction model of the influence of the fat emulsion on pharmacokinetics of the drugs is established through an in-vitro quantitative experiment.

Description

technical field [0001] The invention belongs to the technical field of drug information, and relates to a method for establishing a prediction model of the influence of fat emulsion on drug kinetics in vivo. Background technique [0002] With the development of my country's social economy, new compounds, new materials, and new drugs are constantly emerging, and the types and quantities of poisons are also increasing. The toxicology spectrum of poisoning diseases in my country is also gradually evolving. According to a number of domestic epidemiological research data, the proportion of drug overdose (poisoning) is increasing year by year, and it has become the main cause of acute poisoning in my country, ranking among the top three in the spectrum of acute poisoning in many provinces. And there are life-threatening risks in the overdose of many types of drugs. For example, in the 2018 National Poisoning Data System Registration of the American Poison Control Center, overdose ...

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
IPC IPC(8): G01N21/31G01N30/02A61K49/00
CPCG01N21/31G01N30/02A61K49/0008Y02A90/10
Inventor 孙昊刘东飞张劲松李蒙李植
Owner JIANGSU PROVINCE HOSPITAL THE FIRST AFFILIATED HOSPITAL WITH NANJING MEDICAL UNIV
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