Evidence map›Paper›PMID 39215202›Full record

ArticleEuropean journal of clinical nutrition2025

Specific blood metabolite associations with Gout: a Mendelian randomization study.

Huiqiong Zeng, Junda Lai, Zhihang Liu, Wei Liu, Ye Zhang

Abstract read
In one paragraph

Article in European journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Huiqiong ZengTraditional Chinese Medicine Department of Immunology, Women & Children Health Institute Futian Shenzhen, #2002 Jintian Road, Shenzhen, 518000, China.
Junda LaiDepartment of Human Life Sciences, Beijing Sport University, Haidian district, Beijing, #48 Xinxi Road, 100029, China.
Zhihang LiuDepartment of National Cybersecurity Center, Wuhan University, Wuchang District, #299 Bayi Road, Wuhan, 430072, Hubei, China.
Wei LiuFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine; National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, #314 Anshanxi Road, Tianjin, 300381, China. FengshiLW@163.com.
Ye ZhangTraditional Chinese Medicine Department of Immunology, Women & Children Health Institute Futian Shenzhen, #2002 Jintian Road, Shenzhen, 518000, China. ftfyzhangye@163.com.ORCID 0009-0008-7238-1013

Funding

Shenzhen Science and Technology Innovation Commission JCYJ20210324111805014
6 · The paper itself

Abstract

objectiveGout, common metabolic disorders, have poorly understood links with blood metabolites. Exploring these relationships could enhance clinical prevention and treatment strategies.

methodsWe applied bidirectional two-sample Mendelian randomization (MR) analysis, using data from a genome-wide association (GWAS) study of 486 blood metabolites. Gout data was obtained from FinnGen R8 (7461 gout and 221,323 control cases). We implemented the inverse variance-weighted (IVW) method for main analytical approach. Extensive heterogeneity, pleiotropy tests, leave-one-out analysis, and reverse MR were conducted to validate the robustness of our findings. Both Bonferroni and False Discovery Rate (FDR) corrections were used to adjust for multiple comparisons, ensuring stringent validation of our results.

resultsInitial MR identified 31 candidate metabolites with potential genetic associations to gout. Following rigorous sensitivity analysis, 23 metabolites as potential statistical significance after final confirmation. These included metabolites enhancing gout risk such as X-11529 (OR = 1.225, 95% CI 1.112-1.350, P < 0.001), as well as others like piperine and stachydrine, which appeared to confer protective effects. The analysis was strengthened by reverse MR analysis. Additionally, an enrichment analysis was conducted, suggesting that 1-methylxanthine may be involved in the metabolic process of gout through the caffeine metabolism pathway.

conclusionIdentifying causal metabolites offers new insights into the mechanisms influencing gout, suggesting pathways for future research and potential therapeutic targets.

Indexed as

Genome-Wide Association StudyGoutMendelian Randomization AnalysisHumansPolymorphism, Single Nucleotide

Identifiers

PMID39215202
PMCPMC11717691

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