Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 Jun 9;1(2):74–85. doi: 10.1097/ID9.0000000000000010

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2021 The Chinese Medical Association, published by Wolters Kluwer Health, Inc.

This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0

This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

PMC Copyright notice

Integration of metabolomics data and KEGG reaction information in an undirected network. Node shape indicates biochemical functions of the metabolite. Edges were generated based on KEGG RPAIR substrate-product reaction database. (A) Differential metabolites (FDR < 0.05) from the comparison of healthy controls and patients are mapped to the network. Node size indicates the absolute log fold change of the metabolites. (B) to (D) Differential metabolites (P < 0.05) from the comparison of mild and moderate patients, mild and severe, moderate and severe are mapped to the network, respectively.