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MetaboAge DB: a repository of known ageing-related changes in the human metabolome
Accumulating metabolomics data is starting to become extremely useful in understanding the ageing process, by providing a snapshot into the metabolic state of tissues and organs, at different ages. Molecular studies of such metabolic variations during “normal” ageing can hence guide lifestyle change...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541382/ https://www.ncbi.nlm.nih.gov/pubmed/32785805 http://dx.doi.org/10.1007/s10522-020-09892-w |
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author | Bucaciuc Mracica, Teodora Anghel, Anca Ion, Catalin Florentin Moraru, Corina Violeta Tacutu, Robi Lazar, Gligor Andrei |
author_facet | Bucaciuc Mracica, Teodora Anghel, Anca Ion, Catalin Florentin Moraru, Corina Violeta Tacutu, Robi Lazar, Gligor Andrei |
author_sort | Bucaciuc Mracica, Teodora |
collection | PubMed |
description | Accumulating metabolomics data is starting to become extremely useful in understanding the ageing process, by providing a snapshot into the metabolic state of tissues and organs, at different ages. Molecular studies of such metabolic variations during “normal” ageing can hence guide lifestyle changes and/or medical interventions aimed at improving healthspan and perhaps even lifespan. In this work, we present MetaboAge, a freely accessible database which hosts ageing-related metabolite changes, occurring in healthy individuals. Data is automatically filtered and then manually curated from scientific articles reporting statistically significant associations of human metabolite variations or correlations with ageing. Up to date, MetaboAge contains 408 metabolites annotated with their biological and chemical information, and more than 1515 ageing-related variations, graphically represented on the website grouped by validation methods, sex and age-groups. The MetaboAge database aims to continually structure the expanding information from the field of metabolomics in relation to ageing, thus making it more accessible for further research in gerontology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10522-020-09892-w) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7541382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-75413822020-10-19 MetaboAge DB: a repository of known ageing-related changes in the human metabolome Bucaciuc Mracica, Teodora Anghel, Anca Ion, Catalin Florentin Moraru, Corina Violeta Tacutu, Robi Lazar, Gligor Andrei Biogerontology Research Article Accumulating metabolomics data is starting to become extremely useful in understanding the ageing process, by providing a snapshot into the metabolic state of tissues and organs, at different ages. Molecular studies of such metabolic variations during “normal” ageing can hence guide lifestyle changes and/or medical interventions aimed at improving healthspan and perhaps even lifespan. In this work, we present MetaboAge, a freely accessible database which hosts ageing-related metabolite changes, occurring in healthy individuals. Data is automatically filtered and then manually curated from scientific articles reporting statistically significant associations of human metabolite variations or correlations with ageing. Up to date, MetaboAge contains 408 metabolites annotated with their biological and chemical information, and more than 1515 ageing-related variations, graphically represented on the website grouped by validation methods, sex and age-groups. The MetaboAge database aims to continually structure the expanding information from the field of metabolomics in relation to ageing, thus making it more accessible for further research in gerontology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10522-020-09892-w) contains supplementary material, which is available to authorized users. Springer Netherlands 2020-08-12 2020 /pmc/articles/PMC7541382/ /pubmed/32785805 http://dx.doi.org/10.1007/s10522-020-09892-w Text en © The Author(s) 2020 Open AccessThis 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/. |
spellingShingle | Research Article Bucaciuc Mracica, Teodora Anghel, Anca Ion, Catalin Florentin Moraru, Corina Violeta Tacutu, Robi Lazar, Gligor Andrei MetaboAge DB: a repository of known ageing-related changes in the human metabolome |
title | MetaboAge DB: a repository of known ageing-related changes in the human metabolome |
title_full | MetaboAge DB: a repository of known ageing-related changes in the human metabolome |
title_fullStr | MetaboAge DB: a repository of known ageing-related changes in the human metabolome |
title_full_unstemmed | MetaboAge DB: a repository of known ageing-related changes in the human metabolome |
title_short | MetaboAge DB: a repository of known ageing-related changes in the human metabolome |
title_sort | metaboage db: a repository of known ageing-related changes in the human metabolome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541382/ https://www.ncbi.nlm.nih.gov/pubmed/32785805 http://dx.doi.org/10.1007/s10522-020-09892-w |
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