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Analysis method for eliminating exogenous components in metabonomics data processing

A metabolomics and exogenous technology, applied in the field of analysis of how to eliminate exogenous component data in drug metabolism data processing, can solve the problems of cumbersome and time-consuming methods, unable to completely eliminate the interference of exogenous component data, etc.

Inactive Publication Date: 2013-02-13
刘树民
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Problems solved by technology

[0005] The above method is cumbersome and time-consuming, and cannot completely eliminate the interference of exogenous component data

Method used

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  • Analysis method for eliminating exogenous components in metabonomics data processing
  • Analysis method for eliminating exogenous components in metabonomics data processing
  • Analysis method for eliminating exogenous components in metabonomics data processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0023] Metabonomics evaluation of Scutellaria baicalensis intervention yeast-induced fever syndrome model in rats

[0024] 1. Experimental protocol and sample collection

[0025] 40 Wistar rats were randomly divided into blank group, model group, high-dose Scutellaria baicalensis group (12g crude drug / kg body weight), low-dose Scutellaria baicalensis group (3g crude drug / kg body weight); model group, high-dose Scutellaria baicalensis group, low-dose Scutellaria baicalensis The model group was made with dry yeast, and dry yeast (10ml / kg body weight) was subcutaneously injected, and the blank group was subcutaneously injected with the same volume of sterile saline; the high-dose and low-dose groups of Scutellaria baicalensis were given Scutellaria baicalensis water decoction by intragastric administration 4 hours and 8 hours after model making, respectively. solution, the blank group and the model group were given the same volume of distilled water;

[0026] Three days before m...

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PUM

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Abstract

The invention provides an analysis method for eliminating exogenous component data from massive metabonomics data. The method is characterized in that experiment groups are combined and are divided into two groups; one group comprises all groups which do not supply medicines, namely generally comprises a blank group and a model group, and the other groups only comprise groups which supply medicines; the groups are processed by a multi-variable counting method; marks which only exist in the groups which supply the medicines and do not exist in other groups and serve as exogenous components, and then the data of the exogenous components are eliminated; and after the data are updated, the next mode identification analysis is executed. By the method, the interference of the exogenous component data can be easily, quickly and completely eliminated, so that the integrated change of endogenous metabonomics capable of reflecting the whole biological effect of the medicines (in particular traditional Chinese medicines) can be really displayed and scientifically evaluated.

Description

technical field [0001] The present invention relates to a data processing method of drug metabolism, in particular to an analysis method of how to eliminate exogenous component data in drug metabolism data processing, which can truly display and evaluate the overall biological effect of drugs after eliminating the interference of exogenous data . Background technique [0002] Metabolomics is an emerging "omics" technology in the "post-genomics" period, and it is also an important part of systems biology. The science of the types, quantities and changing laws of its metabolites (endogenous metabolites) after changes. It studies the metabolic pathways of endogenous metabolites of biological wholes, systems or organs and the effects of internal or external factors. The commonly used method is to detect and quantify the change of a biological overall metabolome over time; to establish the overall change trajectory of the metabolome under the influence of internal and external ...

Claims

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Application Information

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IPC IPC(8): G06F19/18
Inventor 刘树民闫广利柳长凤卢芳
Owner 刘树民
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