ArticleScientific reports2023
Exploring the mechanism underlying hyperuricemia using comprehensive research on multi-omics.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- A metabolomic signatures in hyperuricemia: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2026Pooled it
- Phragmites Communis (Lu Gen) Alleviates Hyperuricemia via Xanthine Oxidase Inhibition and Gut-Microbiota-Mediated Metabolite Urate Transporter Regulation.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Role of IFIT1 and IFIT3 in systemic lupus erythematosus: modeling a diagnosis and exploring immune regulation.Clinical and experimental medicine · 2026Article
- Multi-omics insights into uric acid metabolism in cardiometabolic disease: from genetics to metabolomics.Biomedical journal · 2026Review
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- SCN3B is an Anti-breast Cancer Molecule with Migration Inhibition Effect.Biochemical genetics · 2026Article
- Clinical-pathological characteristics and prognosis of elderly primary liver cancer patients.American journal of cancer research · 2026Article
- Gut Microbiota Mediates the Relationship Between Immune Cells and Familial Hypercholesterolemia: A Mendelian Randomization Study.Endocrine, metabolic & immune disorders drug targets · 2026Article
- Association between Maternal Hypertension and Cleft Lip and Palate: A Mendelian Randomization Study.Current medicinal chemistry · 2026Article
- Identification of Key Biomarkers for Systemic Lupus Erythematosus Progression and Therapy Response: A Bulk RNA-Sequencing-Based Bioinformatics Study.Brain and behavior · 2025Article
- Identification of candidate susceptibility genes for cutaneous malignant melanoma through integrated multi-method analysis.Discover oncology · 2025Article
- Effects of coffee and tea consumption on hyperuricemia and gout: a systematic review and meta-analysis.Nutrition research and practice · 2025Review
- Article
- Mendelian Randomization and Machine Learning Reveal Immune Cell and Gene Drivers in Systemic Lupus Erythematosus.Brain and behavior · 2025Article
- Urine Metabolomics of Gout Reveals the Dynamic Reprogramming and Non-Invasive Biomarkers of Disease Progression.Metabolites · 2025Article
- Phytotherapeutic insights into hyperuricemia: a mechanistic and clinical perspective.Inflammopharmacology · 2025Review
- Calcium ion-binding genes can predict tumor mutation burden and immune checkpoint blockade response in a pan-cancer model.Discover oncology · 2025Article
- Causal relationships between immune-related adverse events, immune cell characteristics, and plasma metabolites: insights from Mendelian randomization study.Discover oncology · 2025Article
- Comprehensive analysis of FAM83B in pan-cancer and preliminary exploration in esophageal squamous cell carcinoma.Journal of molecular histology · 2025Article
- Identification of key genes and diagnostic biomarkers for peripheral atherosclerosis: A multi-omics approach.Medicine · 2025Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hyperuricemia involves multiple complex metabolisms, but no study has conducted a comprehensive analysis using human blood and urine metabolomics for hyperuricemia. Serum and urine samples from 10 patients with hyperuricemia and 5 controls were collected and analyzed by the UHPLC-MS/MS. Differential metabolites were identified and used in the enrichment analysis where we collected hyperuricemia target genes. Hyperuricemia kidney differential expressed genes (DEGs) were identified using RNA-sequencing data from the hyperuricemia mouse model induced by the potassium oxonate. A Mendelian randomization analysis of the association between caffeine-containing drinks and gout risk was conducted. An intersection analysis between hyperuricemia target genes and hyperuricemia kidney DEGs was conducted and the resulting genes were used for network analysis using the STRING. 227 differential metabolites were identified as differential metabolites and were enriched in 7 KEGG pathways, among which "Caffeine metabolism" was the top. The Mendelian randomization analysis revealed a significant association between tea or coffee intake and gout risk. There were 2173 genes that were identified as hyperuricemia kidney DEGs from mouse data. The intersection analysis identified 51 genes for the hyperuricemia regulation network. A hyperuricemia regulation protein network in the kidney was constructed. This study suggested a potential association between caffeine and hyperuricemia and constructed a hyperuricemia regulation network for future reference.
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