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Amadis: A Comprehensive Database for Association Between Microbiota and Disease
The human gastrointestinal tract represents a symbiotic bioreactor that can mediate the interaction of the human host. The deployment and integration of multi-omics technologies have depicted a more complete image of the functions performed by microbial organisms. In addition, a large amount of data...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317061/ https://www.ncbi.nlm.nih.gov/pubmed/34335304 http://dx.doi.org/10.3389/fphys.2021.697059 |
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author | Li, Long Jing, Qingxu Yan, Sen Liu, Xuxu Sun, Yuanyuan Zhu, Defu Wang, Dawei Hao, Chenjun Xue, Dongbo |
author_facet | Li, Long Jing, Qingxu Yan, Sen Liu, Xuxu Sun, Yuanyuan Zhu, Defu Wang, Dawei Hao, Chenjun Xue, Dongbo |
author_sort | Li, Long |
collection | PubMed |
description | The human gastrointestinal tract represents a symbiotic bioreactor that can mediate the interaction of the human host. The deployment and integration of multi-omics technologies have depicted a more complete image of the functions performed by microbial organisms. In addition, a large amount of data has been generated in a short time. However, researchers struggling to keep track of these mountains of information need a way to conveniently gain a comprehensive understanding of the relationship between microbiota and human diseases. To tackle this issue, we developed Amadis (http://gift2disease.net/GIFTED), a manually curated database that provides experimentally supported microbiota-disease associations and a dynamic network construction method. The current version of the Amadis database documents 20167 associations between 221 human diseases and 774 gut microbes across 17 species, curated from more than 1000 articles. By using the curated data, users can freely select and combine modules to obtain a specific microbe-based human disease network. Additionally, Amadis provides a user-friendly interface for browsing, searching and downloading. We hope it can serve as a useful and valuable resource for researchers exploring the associations between gastrointestinal microbiota and human diseases. |
format | Online Article Text |
id | pubmed-8317061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83170612021-07-29 Amadis: A Comprehensive Database for Association Between Microbiota and Disease Li, Long Jing, Qingxu Yan, Sen Liu, Xuxu Sun, Yuanyuan Zhu, Defu Wang, Dawei Hao, Chenjun Xue, Dongbo Front Physiol Physiology The human gastrointestinal tract represents a symbiotic bioreactor that can mediate the interaction of the human host. The deployment and integration of multi-omics technologies have depicted a more complete image of the functions performed by microbial organisms. In addition, a large amount of data has been generated in a short time. However, researchers struggling to keep track of these mountains of information need a way to conveniently gain a comprehensive understanding of the relationship between microbiota and human diseases. To tackle this issue, we developed Amadis (http://gift2disease.net/GIFTED), a manually curated database that provides experimentally supported microbiota-disease associations and a dynamic network construction method. The current version of the Amadis database documents 20167 associations between 221 human diseases and 774 gut microbes across 17 species, curated from more than 1000 articles. By using the curated data, users can freely select and combine modules to obtain a specific microbe-based human disease network. Additionally, Amadis provides a user-friendly interface for browsing, searching and downloading. We hope it can serve as a useful and valuable resource for researchers exploring the associations between gastrointestinal microbiota and human diseases. Frontiers Media S.A. 2021-07-14 /pmc/articles/PMC8317061/ /pubmed/34335304 http://dx.doi.org/10.3389/fphys.2021.697059 Text en Copyright © 2021 Li, Jing, Yan, Liu, Sun, Zhu, Wang, Hao and Xue. https://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 | Physiology Li, Long Jing, Qingxu Yan, Sen Liu, Xuxu Sun, Yuanyuan Zhu, Defu Wang, Dawei Hao, Chenjun Xue, Dongbo Amadis: A Comprehensive Database for Association Between Microbiota and Disease |
title | Amadis: A Comprehensive Database for Association Between Microbiota and Disease |
title_full | Amadis: A Comprehensive Database for Association Between Microbiota and Disease |
title_fullStr | Amadis: A Comprehensive Database for Association Between Microbiota and Disease |
title_full_unstemmed | Amadis: A Comprehensive Database for Association Between Microbiota and Disease |
title_short | Amadis: A Comprehensive Database for Association Between Microbiota and Disease |
title_sort | amadis: a comprehensive database for association between microbiota and disease |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317061/ https://www.ncbi.nlm.nih.gov/pubmed/34335304 http://dx.doi.org/10.3389/fphys.2021.697059 |
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