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GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases
BACKGROUND: The natural products, metabolites, of gut microbes are crucial effect factors on diseases. Comprehensive identification and annotation of relationships among disease, metabolites, and microbes can provide efficient and targeted solutions towards understanding the mechanism of complex dis...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464125/ https://www.ncbi.nlm.nih.gov/pubmed/37620754 http://dx.doi.org/10.1186/s12864-023-09599-5 |
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author | Wang, Cheng-Yu Kuang, Xia Wang, Qiao-Qiao Zhang, Gu-Qin Cheng, Zhen-Shun Deng, Zi-Xin Guo, Feng-Biao |
author_facet | Wang, Cheng-Yu Kuang, Xia Wang, Qiao-Qiao Zhang, Gu-Qin Cheng, Zhen-Shun Deng, Zi-Xin Guo, Feng-Biao |
author_sort | Wang, Cheng-Yu |
collection | PubMed |
description | BACKGROUND: The natural products, metabolites, of gut microbes are crucial effect factors on diseases. Comprehensive identification and annotation of relationships among disease, metabolites, and microbes can provide efficient and targeted solutions towards understanding the mechanism of complex disease and development of new markers and drugs. RESULTS: We developed Gut Microbial Metabolite Association with Disease (GMMAD), a manually curated database of associations among human diseases, gut microbes, and metabolites of gut microbes. Here, this initial release (i) contains 3,836 disease-microbe associations and 879,263 microbe-metabolite associations, which were extracted from literatures and available resources and then experienced our manual curation; (ii) defines an association strength score and a confidence score. With these two scores, GMMAD predicted 220,690 disease-metabolite associations, where the metabolites all belong to the gut microbes. We think that the positive effective (with both scores higher than suggested thresholds) associations will help identify disease marker and understand the pathogenic mechanism from the sense of gut microbes. The negative effective associations would be taken as biomarkers and have the potential as drug candidates. Literature proofs supported our proposal with experimental consistence; (iii) provides a user-friendly web interface that allows users to browse, search, and download information on associations among diseases, metabolites, and microbes. The resource is freely available at http://guolab.whu.edu.cn/GMMAD. CONCLUSIONS: As the online-available unique resource for gut microbial metabolite-disease associations, GMMAD is helpful for researchers to explore mechanisms of disease- metabolite-microbe and screen the drug and marker candidates for different diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09599-5. |
format | Online Article Text |
id | pubmed-10464125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104641252023-08-30 GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases Wang, Cheng-Yu Kuang, Xia Wang, Qiao-Qiao Zhang, Gu-Qin Cheng, Zhen-Shun Deng, Zi-Xin Guo, Feng-Biao BMC Genomics Database BACKGROUND: The natural products, metabolites, of gut microbes are crucial effect factors on diseases. Comprehensive identification and annotation of relationships among disease, metabolites, and microbes can provide efficient and targeted solutions towards understanding the mechanism of complex disease and development of new markers and drugs. RESULTS: We developed Gut Microbial Metabolite Association with Disease (GMMAD), a manually curated database of associations among human diseases, gut microbes, and metabolites of gut microbes. Here, this initial release (i) contains 3,836 disease-microbe associations and 879,263 microbe-metabolite associations, which were extracted from literatures and available resources and then experienced our manual curation; (ii) defines an association strength score and a confidence score. With these two scores, GMMAD predicted 220,690 disease-metabolite associations, where the metabolites all belong to the gut microbes. We think that the positive effective (with both scores higher than suggested thresholds) associations will help identify disease marker and understand the pathogenic mechanism from the sense of gut microbes. The negative effective associations would be taken as biomarkers and have the potential as drug candidates. Literature proofs supported our proposal with experimental consistence; (iii) provides a user-friendly web interface that allows users to browse, search, and download information on associations among diseases, metabolites, and microbes. The resource is freely available at http://guolab.whu.edu.cn/GMMAD. CONCLUSIONS: As the online-available unique resource for gut microbial metabolite-disease associations, GMMAD is helpful for researchers to explore mechanisms of disease- metabolite-microbe and screen the drug and marker candidates for different diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-023-09599-5. BioMed Central 2023-08-24 /pmc/articles/PMC10464125/ /pubmed/37620754 http://dx.doi.org/10.1186/s12864-023-09599-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Database Wang, Cheng-Yu Kuang, Xia Wang, Qiao-Qiao Zhang, Gu-Qin Cheng, Zhen-Shun Deng, Zi-Xin Guo, Feng-Biao GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases |
title | GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases |
title_full | GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases |
title_fullStr | GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases |
title_full_unstemmed | GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases |
title_short | GMMAD: a comprehensive database of human gut microbial metabolite associations with diseases |
title_sort | gmmad: a comprehensive database of human gut microbial metabolite associations with diseases |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464125/ https://www.ncbi.nlm.nih.gov/pubmed/37620754 http://dx.doi.org/10.1186/s12864-023-09599-5 |
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