ArticleBioscience reports2024
Causal effects of gut microbiota on gout and hyperuricemia: insights from genome-wide Mendelian randomization, RNA-sequencing, 16S rRNA sequencing, and metabolomes.
Article in Bioscience reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Gut microbiota and uric acid excretion signaling in pathogenesis of hyperuricemia and acute gouty arthritis.iScience · 2026Article
- Mechanisms of Gut Microbiota-Derived Metabolites in Treating Hyperuricemia: Natural Products as Interventions.Molecules (Basel, Switzerland) · 2026Review
- The gut-joint axis in gout: microbial outer membrane vesicles and mFrontiers in immunology · 2026Review
- The role of the gut microbiota-uric acid metabolism axis in high-altitude hyperuricemia: dysregulation mechanisms, pathway associations and therapeutic perspectives.Frontiers in microbiology · 2026Review
- Safety Evaluation of Human-Derived Uric Acid Degrading Lacticaseibacillus paracasei M2a and Its Impact on Gut Microbiota.Probiotics and antimicrobial proteins · 2026Article
- The roles of gut microbiota and their metabolites in uric acid-related metabolic diseases: mechanisms and therapeutic targets.Frontiers in microbiology · 2026Review
- Article
- Genome-wide association studies and traditional Chinese medicine in hyperuricemia: current evidence and mechanistic insights.Frontiers in pharmacology · 2025Review
- The Gut-Kidney Axis in Uric Acid Nephropathy: Microbiota, Metabolic Crosstalk, and Translational Prospects.Journal of multidisciplinary healthcare · 2025Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundThis study investigated the causal relationship between gut microbiota (GM), serum metabolome, and host transcriptome in the development of gout and hyperuricemia (HUA) using genome-wide association studies (GWAS) data and HUA mouse model experiments.
methodsMendelian randomization (MR) analysis of GWAS summary statistics was performed using an inverse variance weighted (IVW) approach to determine or predict the causal role of the GM on gout. The HUA mouse model was used to characterize changes in the gut microbiome, host metabolome, and host kidney transcriptome by integrating cecal 16S rRNA sequencing, untargeted serum metabolomics, and host mRNA sequencing.
resultsOur analysis demonstrated causal effects of seven GM taxa on gout, including genera of Ruminococcus, Odoribacter, and Bacteroides. Thirty eight immune cell traits were associated with gout. Dysbiosis of Dubosiella, Lactobacillus, Bacteroides, Alloprevotella, and Lachnospiraceae_NK4A136_group genera were associated with changes in the serum metabolites and kidney transcriptome of the HUA model mice. The changes in the gut microbiome of the HUA model mice correlated significantly with alterations in the levels of serum metabolites such as taurodeoxycholic acid, phenylacetylglycine, vanylglycol, methyl hexadecanoic acid, carnosol, 6-aminopenicillanic acid, sphinganine, p-hydroxyphenylacetic acid, pyridoxamine, and de-o-methylsterigmatocystin, and expression of kidney genes such as CNDP2, SELENOP, TTR, CAR3, SLC12A3, SCD1, PIGR, CD74, MFSD4B5, and NAPSA.
conclusionOur study demonstrated a causal relationship between GM, immune cells, and gout. HUA development involved alterations in the vitamin B6 metabolism because of GM dysbiosis that resulted in altered pyridoxamine and pyridoxal levels, dysregulated sphingolipid metabolism, and excessive inflammation.
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