ArticleFrontiers in endocrinology2024
Causal impact of human blood metabolites and metabolic pathways on serum uric acid and gout: a mendelian randomization study.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrated multi-omics mapping of the causal landscape of gout across the circulating-tissue axis.Frontiers in immunology · 2026Pooled it
- A Lipid- and Inflammation-Related Metabolite Risk Score Predicts Incident Gout Among Individuals With Hyperuricemia: A Prospective Cohort Study.Clinical rheumatology · 2026Article
- The link between dietary inflammation and hyperuricemia: what is the mediating role of insulin resistance and abdominal obesity?Nutrition & metabolism · 2026Article
- Integrated multi-omics and single-cell transcriptomic analysis reveals shared molecular mechanisms and cell-cell communication signatures in gout and metabolic syndrome.Frontiers in medicine · 2026Article
- CT radiomics with transfer learning features for detecting DECT-positive periarticular monosodium urate crystal deposition: a single-center retrospective study.Frontiers in endocrinology · 2026Article
- Identification of age-specific risk factors for hyperuricemia: a machine learning-driven stratified analysis in health examination cohorts.BMC medical informatics and decision making · 2025Article
- Advances in drug delivery systems for the management of gout and hyperuricemia.Frontiers in pharmacology · 2025Review
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Hyperuricaemia and gout are common metabolic disorders. However, the causal relationships between blood metabolites and serum urate levels, as well as gout, remain unclear. A systematic evaluation of the causal connections between blood metabolites, hyperuricemia, and gout could enhance early screening and prevention of hyperuricemia and gout in clinical settings, providing novel insights and approaches for clinical treatment. Methods: In this study, we employed a bidirectional two-sample Mendelian randomization analysis utilizing data from a genome-wide association study involving 7,286 participants, encompassing 486 blood metabolites. Serum urate and gout data were sourced from the Chronic Kidney Disease Genetics consortium, including 288,649 participants for serum urate and 9,819 African American and 753,994 European individuals for gout. Initially, LDSC methodology was applied to identify blood metabolites with a genetic relationship to serum urate and gout. Subsequently, inverse-variance weighting was employed as the primary analysis method, with a series of sensitivity and pleiotropy analyses conducted to assess the robustness of the results. Results: Following LDSC, 133 blood metabolites exhibited a potential genetic relationship with serum urate and gout. In the primary Mendelian randomization analysis using inverse-variance weighting, 19 blood metabolites were recognized as potentially influencing serum urate levels and gout. Subsequently, the IVW p-values of potential metabolites were corrected using the false discovery rate method. We find leucine (IVW P Conclusion: The identified causal relationships between these metabolites and serum urate and gout offer a novel perspective, providing new mechanistic insights into serum urate levels and gout.
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