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Recent advances in the application of ionomics in metabolic diseases
Trace elements and minerals play a significant role in human health and diseases. In recent years, ionomics has been rapidly and widely applied to explore the distribution, regulation, and crosstalk of different elements in various physiological and pathological processes. On the basis of multi-elem...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884710/ https://www.ncbi.nlm.nih.gov/pubmed/36726817 http://dx.doi.org/10.3389/fnut.2022.1111933 |
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author | Zhang, Yan Huang, Biyan Jin, Jiao Xiao, Yao Ying, Huimin |
author_facet | Zhang, Yan Huang, Biyan Jin, Jiao Xiao, Yao Ying, Huimin |
author_sort | Zhang, Yan |
collection | PubMed |
description | Trace elements and minerals play a significant role in human health and diseases. In recent years, ionomics has been rapidly and widely applied to explore the distribution, regulation, and crosstalk of different elements in various physiological and pathological processes. On the basis of multi-elemental analytical techniques and bioinformatics methods, it is possible to elucidate the relationship between the metabolism and homeostasis of diverse elements and common diseases. The current review aims to provide an overview of recent advances in the application of ionomics in metabolic disease research. We mainly focuses on the studies about ionomic or multi-elemental profiling of different biological samples for several major types of metabolic diseases, such as diabetes mellitus, obesity, and metabolic syndrome, which reveal distinct and dynamic patterns of ion contents and their potential benefits in the detection and prognosis of these illnesses. Accumulation of copper, selenium, and environmental toxic metals as well as deficiency of zinc and magnesium appear to be the most significant risk factors for the majority of metabolic diseases, suggesting that imbalance of these elements may be involved in the pathogenesis of these diseases. Moreover, each type of metabolic diseases has shown a relatively unique distribution of ions in biofluids and hair/nails from patients, which might serve as potential indicators for the respective disease. Overall, ionomics not only improves our understanding of the association between elemental dyshomeostasis and the development of metabolic disease but also assists in the identification of new potential diagnostic and prognostic markers in translational medicine. |
format | Online Article Text |
id | pubmed-9884710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98847102023-01-31 Recent advances in the application of ionomics in metabolic diseases Zhang, Yan Huang, Biyan Jin, Jiao Xiao, Yao Ying, Huimin Front Nutr Nutrition Trace elements and minerals play a significant role in human health and diseases. In recent years, ionomics has been rapidly and widely applied to explore the distribution, regulation, and crosstalk of different elements in various physiological and pathological processes. On the basis of multi-elemental analytical techniques and bioinformatics methods, it is possible to elucidate the relationship between the metabolism and homeostasis of diverse elements and common diseases. The current review aims to provide an overview of recent advances in the application of ionomics in metabolic disease research. We mainly focuses on the studies about ionomic or multi-elemental profiling of different biological samples for several major types of metabolic diseases, such as diabetes mellitus, obesity, and metabolic syndrome, which reveal distinct and dynamic patterns of ion contents and their potential benefits in the detection and prognosis of these illnesses. Accumulation of copper, selenium, and environmental toxic metals as well as deficiency of zinc and magnesium appear to be the most significant risk factors for the majority of metabolic diseases, suggesting that imbalance of these elements may be involved in the pathogenesis of these diseases. Moreover, each type of metabolic diseases has shown a relatively unique distribution of ions in biofluids and hair/nails from patients, which might serve as potential indicators for the respective disease. Overall, ionomics not only improves our understanding of the association between elemental dyshomeostasis and the development of metabolic disease but also assists in the identification of new potential diagnostic and prognostic markers in translational medicine. Frontiers Media S.A. 2023-01-16 /pmc/articles/PMC9884710/ /pubmed/36726817 http://dx.doi.org/10.3389/fnut.2022.1111933 Text en Copyright © 2023 Zhang, Huang, Jin, Xiao and Ying. 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 | Nutrition Zhang, Yan Huang, Biyan Jin, Jiao Xiao, Yao Ying, Huimin Recent advances in the application of ionomics in metabolic diseases |
title | Recent advances in the application of ionomics in metabolic diseases |
title_full | Recent advances in the application of ionomics in metabolic diseases |
title_fullStr | Recent advances in the application of ionomics in metabolic diseases |
title_full_unstemmed | Recent advances in the application of ionomics in metabolic diseases |
title_short | Recent advances in the application of ionomics in metabolic diseases |
title_sort | recent advances in the application of ionomics in metabolic diseases |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884710/ https://www.ncbi.nlm.nih.gov/pubmed/36726817 http://dx.doi.org/10.3389/fnut.2022.1111933 |
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