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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203444/ https://www.ncbi.nlm.nih.gov/pubmed/32426349 http://dx.doi.org/10.3389/fbioe.2020.00398 |
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author | Mi, Kai Jiang, Yanan Chen, Jiaxin Lv, Dongxu Qian, Zhipeng Sun, Hui Shang, Desi |
author_facet | Mi, Kai Jiang, Yanan Chen, Jiaxin Lv, Dongxu Qian, Zhipeng Sun, Hui Shang, Desi |
author_sort | Mi, Kai |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7203444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72034442020-05-18 Construction and Analysis of Human Diseases and Metabolites Network Mi, Kai Jiang, Yanan Chen, Jiaxin Lv, Dongxu Qian, Zhipeng Sun, Hui Shang, Desi Front Bioeng Biotechnol Bioengineering and Biotechnology 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. Frontiers Media S.A. 2020-04-30 /pmc/articles/PMC7203444/ /pubmed/32426349 http://dx.doi.org/10.3389/fbioe.2020.00398 Text en Copyright © 2020 Mi, Jiang, Chen, Lv, Qian, Sun and Shang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Mi, Kai Jiang, Yanan Chen, Jiaxin Lv, Dongxu Qian, Zhipeng Sun, Hui Shang, Desi Construction and Analysis of Human Diseases and Metabolites Network |
title | 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_short | Construction and Analysis of Human Diseases and Metabolites Network |
title_sort | construction and analysis of human diseases and metabolites network |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203444/ https://www.ncbi.nlm.nih.gov/pubmed/32426349 http://dx.doi.org/10.3389/fbioe.2020.00398 |
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