Biomarker metabolic pathway, and analysis method and application
A biomarker and pathway technology, applied in the field of functional analysis of metabolic biomarkers in diseases, can solve problems such as incompletely clear functions of metabolic biomarkers in depression
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2019-09-27
Smart Images

Figure 1 
Figure 2 
Figure 3
Abstract
Description
technical field
[0001] The invention belongs to the technical field of functional analysis methods of disease metabolic biomarkers, and relates to a biomarker metabolic pathway and its analysis method and application, in particular to a depression metabolic biomarker metabolic pathway and analysis method based on network pharmacology. Background technique
[0002] Metabolomics is a rapidly developing omics technology following genomics, transcriptomics and proteomics, and is an important part of systems biology. Integrality is the basic point of view of metabolomics theory, which mainly uses nuclear magnetic resonance, mass spectrometry and other technical means to study the changes and laws of metabolites after biological systems are stimulated or disturbed. Changes in the levels of these metabolites are closely related to related metabolic pathways. By studying changes in metabolite levels and related metabolic pathways, we can understand the changes in the body as a whole...
Examples
Embodiment Construction
[0022] In order to further describe the present invention in detail, the following specific examples are given, but only to illustrate the present invention, not to limit the scope of the present invention.
[0023] 1. Metabolic biomarkers-enzyme network analysis of depression
[0024] Information and structures of identified metabolic biomarkers of depression were obtained from the Human Metabolomics Database (HMDB), and the structures of these compounds were downloaded from PubChem. HMDB also collected enzymes related to metabolic biomarkers, and the functional categories of these proteins were extracted from the UniProt database. The network centrality of nodes (metabolic biomarkers and enzymes) was calculated with the network analyzer module of Cytoscape. Centrality is used to evaluate the importance of nodes in the network. In an undirected network, degree is defined as the number of neighboring nodes. For example, the degree to which a node is an enzyme is the number ...