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Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics

Hyperuricemia (HUA) seriously harms human health but the exact etiology and pathogenesis of HUA are not fully understood. Therefore, it is still of great significance to find effective biomarkers and explore the pathogenesis of HUA. Metabolomics reflects the influence of internal and external factor...

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Autores principales: Qin, Nankun, Qin, Ming, Shi, Wenjun, Kong, Lingbo, Wang, Liting, Xu, Guang, Guo, Yuying, Zhang, Jiayu, Ma, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386008/
https://www.ncbi.nlm.nih.gov/pubmed/35978088
http://dx.doi.org/10.1038/s41598-022-18361-y
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author Qin, Nankun
Qin, Ming
Shi, Wenjun
Kong, Lingbo
Wang, Liting
Xu, Guang
Guo, Yuying
Zhang, Jiayu
Ma, Qun
author_facet Qin, Nankun
Qin, Ming
Shi, Wenjun
Kong, Lingbo
Wang, Liting
Xu, Guang
Guo, Yuying
Zhang, Jiayu
Ma, Qun
author_sort Qin, Nankun
collection PubMed
description Hyperuricemia (HUA) seriously harms human health but the exact etiology and pathogenesis of HUA are not fully understood. Therefore, it is still of great significance to find effective biomarkers and explore the pathogenesis of HUA. Metabolomics reflects the influence of internal and external factors on system metabolism, explains the changes in metabolite levels during the development of diseases, and reveals the molecular mechanism of pathogenesis. Metabolomics is divided into untargeted metabolomics and targeted metabolomics according to different research modes. Each other's advantages can be fully utilized by combining the two so that the results of metabolomics research can be consummated. 20 HUA patients and 20 healthy individuals participated in the experiment, and untargeted metabolomics was employed to find 50 differential metabolites in HUA serum samples. Twelve candidate biomarkers were screened based on literature research and ROC Curve analysis for subsequent verification. Based on the UPLC-TQ-MS analysis platform, the targeted metabolomics detection methods were established and the content of 12 candidate biomarkers was precisely quantified. Compare with the results of untargeted metabolomics, the targeted metabolomics results were considered more reliable.
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spelling pubmed-93860082022-08-19 Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics Qin, Nankun Qin, Ming Shi, Wenjun Kong, Lingbo Wang, Liting Xu, Guang Guo, Yuying Zhang, Jiayu Ma, Qun Sci Rep Article Hyperuricemia (HUA) seriously harms human health but the exact etiology and pathogenesis of HUA are not fully understood. Therefore, it is still of great significance to find effective biomarkers and explore the pathogenesis of HUA. Metabolomics reflects the influence of internal and external factors on system metabolism, explains the changes in metabolite levels during the development of diseases, and reveals the molecular mechanism of pathogenesis. Metabolomics is divided into untargeted metabolomics and targeted metabolomics according to different research modes. Each other's advantages can be fully utilized by combining the two so that the results of metabolomics research can be consummated. 20 HUA patients and 20 healthy individuals participated in the experiment, and untargeted metabolomics was employed to find 50 differential metabolites in HUA serum samples. Twelve candidate biomarkers were screened based on literature research and ROC Curve analysis for subsequent verification. Based on the UPLC-TQ-MS analysis platform, the targeted metabolomics detection methods were established and the content of 12 candidate biomarkers was precisely quantified. Compare with the results of untargeted metabolomics, the targeted metabolomics results were considered more reliable. Nature Publishing Group UK 2022-08-17 /pmc/articles/PMC9386008/ /pubmed/35978088 http://dx.doi.org/10.1038/s41598-022-18361-y Text en © The Author(s) 2022 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/) .
spellingShingle Article
Qin, Nankun
Qin, Ming
Shi, Wenjun
Kong, Lingbo
Wang, Liting
Xu, Guang
Guo, Yuying
Zhang, Jiayu
Ma, Qun
Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics
title Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics
title_full Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics
title_fullStr Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics
title_full_unstemmed Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics
title_short Investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics
title_sort investigation of pathogenesis of hyperuricemia based on untargeted and targeted metabolomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386008/
https://www.ncbi.nlm.nih.gov/pubmed/35978088
http://dx.doi.org/10.1038/s41598-022-18361-y
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