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NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective
Chronic kidney disease (CKD) is a renal dysfunction that can lead to high rates of mortality and morbidity, particularly when coupled with late diagnosis. CKD has become a major health problem due to its challenging detection at early stages when clear symptoms are yet to be presented. Thus, CKD is...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473349/ https://www.ncbi.nlm.nih.gov/pubmed/34312783 http://dx.doi.org/10.1007/s11010-021-04222-1 |
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author | Hunter, Elena Percival, Benita Ahmad, Zeeshan Chang, Ming-Wei Hunt, John A. Tasker, Séverine De Risio, Luisa Wilson, Philippe B. |
author_facet | Hunter, Elena Percival, Benita Ahmad, Zeeshan Chang, Ming-Wei Hunt, John A. Tasker, Séverine De Risio, Luisa Wilson, Philippe B. |
author_sort | Hunter, Elena |
collection | PubMed |
description | Chronic kidney disease (CKD) is a renal dysfunction that can lead to high rates of mortality and morbidity, particularly when coupled with late diagnosis. CKD has become a major health problem due to its challenging detection at early stages when clear symptoms are yet to be presented. Thus, CKD is likely to be identified when the substantive conditions of the disease are manifest. In order to address the development of the disease and provide necessary treatments at the initial stage, the investigation of new biomarkers and metabolites associated with early detection of CKD are needed. Identified metabolites could be used to confirm the presence of the disease, obtain information on its mechanism and facilitate the development of novel pharmaceutical treatments. Such metabolites may be detected from biofluids and tissues using a range of analytical techniques. There are a number of metabolites that have been identified by mass spectrometry at high sensitivities, whilst the detection of metabolites directly from biofluids using NMR could present a more rapid way to expand our understanding of this disease. This review is focused on NMR-based metabolomics associated with CKD in humans and animals. |
format | Online Article Text |
id | pubmed-8473349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-84733492021-10-08 NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective Hunter, Elena Percival, Benita Ahmad, Zeeshan Chang, Ming-Wei Hunt, John A. Tasker, Séverine De Risio, Luisa Wilson, Philippe B. Mol Cell Biochem Article Chronic kidney disease (CKD) is a renal dysfunction that can lead to high rates of mortality and morbidity, particularly when coupled with late diagnosis. CKD has become a major health problem due to its challenging detection at early stages when clear symptoms are yet to be presented. Thus, CKD is likely to be identified when the substantive conditions of the disease are manifest. In order to address the development of the disease and provide necessary treatments at the initial stage, the investigation of new biomarkers and metabolites associated with early detection of CKD are needed. Identified metabolites could be used to confirm the presence of the disease, obtain information on its mechanism and facilitate the development of novel pharmaceutical treatments. Such metabolites may be detected from biofluids and tissues using a range of analytical techniques. There are a number of metabolites that have been identified by mass spectrometry at high sensitivities, whilst the detection of metabolites directly from biofluids using NMR could present a more rapid way to expand our understanding of this disease. This review is focused on NMR-based metabolomics associated with CKD in humans and animals. Springer US 2021-07-26 2021 /pmc/articles/PMC8473349/ /pubmed/34312783 http://dx.doi.org/10.1007/s11010-021-04222-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hunter, Elena Percival, Benita Ahmad, Zeeshan Chang, Ming-Wei Hunt, John A. Tasker, Séverine De Risio, Luisa Wilson, Philippe B. NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective |
title | NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective |
title_full | NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective |
title_fullStr | NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective |
title_full_unstemmed | NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective |
title_short | NMR-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective |
title_sort | nmr-based metabolomics associated with chronic kidney disease in humans and animals: a one health perspective |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473349/ https://www.ncbi.nlm.nih.gov/pubmed/34312783 http://dx.doi.org/10.1007/s11010-021-04222-1 |
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