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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Main Authors: Yuanyuan Li, Xu Han, Jinlin Tong, Yuhe Wang, Xin Liu, Zeqi Liao, Miao Jiang, Hongyan Zhao
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Nutrients
Subjects:
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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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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AT xinliu analysisofmetabolitesingoutasystematicreviewandmetaanalysis
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