Analysis of Metabolites in Gout: A Systematic Review and Meta-Analysis
(1) Background: Many studies have attempted to explore potential biomarkers for the early detection of gout, but consistent and high levels of evidence are lacking. In this study, metabolomics was used to summarize the changes of metabolites in the literature and explore the potential value of metab...
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MDPI AG
2023-07-01
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Online Access: | https://www.mdpi.com/2072-6643/15/14/3143 |
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author | Yuanyuan Li Xu Han Jinlin Tong Yuhe Wang Xin Liu Zeqi Liao Miao Jiang Hongyan Zhao |
author_facet | Yuanyuan Li Xu Han Jinlin Tong Yuhe Wang Xin Liu Zeqi Liao Miao Jiang Hongyan Zhao |
author_sort | Yuanyuan Li |
collection | DOAJ |
description | (1) Background: Many studies have attempted to explore potential biomarkers for the early detection of gout, but consistent and high levels of evidence are lacking. In this study, metabolomics was used to summarize the changes of metabolites in the literature and explore the potential value of metabolites in predicting the occurrence and development of gout. (2) Methods: We searched the databases including the EMBASE, the Cochrane Library, PubMed, Web of Science, VIP Date, Wanfang Data, and CNKI, and the screening was fulfilled on 30 July 2022. The records were screened according to the inclusion criteria and the risk of bias was assessed. Qualitative analysis was performed for all metabolites, and meta-analysis was performed for metabolite concentrations using random effects to calculate the Std mean difference and 95% confidence interval. (3) Results: A total of 2738 records were identified, 33 studies with 3422 participants were included, and 701 metabolites were identified. The qualitative analysis results showed that compared with the healthy control group, the concentration of 56 metabolites increased, and 22 metabolites decreased. The results of the meta-analysis indicated that 17 metabolites were statistically significant. (4) Conclusions: Metabolites are associated with gout. Some specific metabolites such as uric acid, hypoxanthine, xanthine, KYNA, guanosine, adenosine, creatinine, LB4, and DL-2-Aminoadipic acid have been highlighted in the development of gout. |
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format | Article |
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issn | 2072-6643 |
language | English |
last_indexed | 2024-03-11T00:46:17Z |
publishDate | 2023-07-01 |
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series | Nutrients |
spelling | doaj.art-c4646175c4ef4566be561a50c6c954012023-11-18T20:47:49ZengMDPI AGNutrients2072-66432023-07-011514314310.3390/nu15143143Analysis of Metabolites in Gout: A Systematic Review and Meta-AnalysisYuanyuan Li0Xu Han1Jinlin Tong2Yuhe Wang3Xin Liu4Zeqi Liao5Miao Jiang6Hongyan Zhao7Medical Experimental Center, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaMedical Experimental Center, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaMedical Experimental Center, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaMedical Experimental Center, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaMedical Experimental Center, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, ChinaMedical Experimental Center, China Academy of Chinese Medical Sciences, Beijing 100700, China(1) Background: Many studies have attempted to explore potential biomarkers for the early detection of gout, but consistent and high levels of evidence are lacking. In this study, metabolomics was used to summarize the changes of metabolites in the literature and explore the potential value of metabolites in predicting the occurrence and development of gout. (2) Methods: We searched the databases including the EMBASE, the Cochrane Library, PubMed, Web of Science, VIP Date, Wanfang Data, and CNKI, and the screening was fulfilled on 30 July 2022. The records were screened according to the inclusion criteria and the risk of bias was assessed. Qualitative analysis was performed for all metabolites, and meta-analysis was performed for metabolite concentrations using random effects to calculate the Std mean difference and 95% confidence interval. (3) Results: A total of 2738 records were identified, 33 studies with 3422 participants were included, and 701 metabolites were identified. The qualitative analysis results showed that compared with the healthy control group, the concentration of 56 metabolites increased, and 22 metabolites decreased. The results of the meta-analysis indicated that 17 metabolites were statistically significant. (4) Conclusions: Metabolites are associated with gout. Some specific metabolites such as uric acid, hypoxanthine, xanthine, KYNA, guanosine, adenosine, creatinine, LB4, and DL-2-Aminoadipic acid have been highlighted in the development of gout.https://www.mdpi.com/2072-6643/15/14/3143goutmetabolitesmetabolomicsmeta-inflammation |
spellingShingle | Yuanyuan Li Xu Han Jinlin Tong Yuhe Wang Xin Liu Zeqi Liao Miao Jiang Hongyan Zhao Analysis of Metabolites in Gout: A Systematic Review and Meta-Analysis Nutrients gout metabolites metabolomics meta-inflammation |
title | Analysis of Metabolites in Gout: A Systematic Review and Meta-Analysis |
title_full | Analysis of Metabolites in Gout: A Systematic Review and Meta-Analysis |
title_fullStr | Analysis of Metabolites in Gout: A Systematic Review and Meta-Analysis |
title_full_unstemmed | Analysis of Metabolites in Gout: A Systematic Review and Meta-Analysis |
title_short | Analysis of Metabolites in Gout: A Systematic Review and Meta-Analysis |
title_sort | analysis of metabolites in gout a systematic review and meta analysis |
topic | gout metabolites metabolomics meta-inflammation |
url | https://www.mdpi.com/2072-6643/15/14/3143 |
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