Construction and Analysis of Human Diseases and Metabolites Network
The relationship between aberrant metabolism and the initiation and progression of diseases has gained considerable attention in recent years. To gain insights into the global relationship between diseases and metabolites, here we constructed a human diseases-metabolites network (HDMN). Through anal...
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doaj-5772ba4fb18a4e1f8ce1ce2f9b964af22020-11-25T03:11:24ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852020-04-01810.3389/fbioe.2020.00398506642Construction and Analysis of Human Diseases and Metabolites NetworkKai Mi0Yanan Jiang1Yanan Jiang2Yanan Jiang3Jiaxin Chen4Dongxu Lv5Zhipeng Qian6Hui Sun7Desi Shang8College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, ChinaDepartment of Pharmacology (State-Province Key Laboratories of Biomedicine – Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, ChinaTranslational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Harbin, ChinaSchool of Medical Informatics, Harbin Medical University, Daqing, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, ChinaPharmaceutical Experiment Teaching Center, College of Pharmacy, Harbin Medical University, Harbin, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, ChinaThe relationship between aberrant metabolism and the initiation and progression of diseases has gained considerable attention in recent years. To gain insights into the global relationship between diseases and metabolites, here we constructed a human diseases-metabolites network (HDMN). Through analyses based on network biology, the metabolites associated with the same disorder tend to participate in the same metabolic pathway or cascade. In addition, the shortest distance between disease-related metabolites was shorter than that of all metabolites in the Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic network. Both disease and metabolite nodes in the HDMN displayed slight clustering phenomenon, resulting in functional modules. Furthermore, a significant positive correlation was observed between the degree of metabolites and the proportion of disease-related metabolites in the KEGG metabolic network. We also found that the average degree of disease metabolites is larger than that of all metabolites. Depicting a comprehensive characteristic of HDMN could provide great insights into understanding the global relationship between disease and metabolites.https://www.frontiersin.org/article/10.3389/fbioe.2020.00398/fulldiseasemetabolitenetwork randomcorrelationfunctional modules |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kai Mi Yanan Jiang Yanan Jiang Yanan Jiang Jiaxin Chen Dongxu Lv Zhipeng Qian Hui Sun Desi Shang |
spellingShingle |
Kai Mi Yanan Jiang Yanan Jiang Yanan Jiang Jiaxin Chen Dongxu Lv Zhipeng Qian Hui Sun Desi Shang Construction and Analysis of Human Diseases and Metabolites Network Frontiers in Bioengineering and Biotechnology disease metabolite network random correlation functional modules |
author_facet |
Kai Mi Yanan Jiang Yanan Jiang Yanan Jiang Jiaxin Chen Dongxu Lv Zhipeng Qian Hui Sun Desi Shang |
author_sort |
Kai Mi |
title |
Construction and Analysis of Human Diseases and Metabolites Network |
title_short |
Construction and Analysis of Human Diseases and Metabolites Network |
title_full |
Construction and Analysis of Human Diseases and Metabolites Network |
title_fullStr |
Construction and Analysis of Human Diseases and Metabolites Network |
title_full_unstemmed |
Construction and Analysis of Human Diseases and Metabolites Network |
title_sort |
construction and analysis of human diseases and metabolites network |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Bioengineering and Biotechnology |
issn |
2296-4185 |
publishDate |
2020-04-01 |
description |
The relationship between aberrant metabolism and the initiation and progression of diseases has gained considerable attention in recent years. To gain insights into the global relationship between diseases and metabolites, here we constructed a human diseases-metabolites network (HDMN). Through analyses based on network biology, the metabolites associated with the same disorder tend to participate in the same metabolic pathway or cascade. In addition, the shortest distance between disease-related metabolites was shorter than that of all metabolites in the Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic network. Both disease and metabolite nodes in the HDMN displayed slight clustering phenomenon, resulting in functional modules. Furthermore, a significant positive correlation was observed between the degree of metabolites and the proportion of disease-related metabolites in the KEGG metabolic network. We also found that the average degree of disease metabolites is larger than that of all metabolites. Depicting a comprehensive characteristic of HDMN could provide great insights into understanding the global relationship between disease and metabolites. |
topic |
disease metabolite network random correlation functional modules |
url |
https://www.frontiersin.org/article/10.3389/fbioe.2020.00398/full |
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