{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T04:08:33Z","timestamp":1747282113675,"version":"3.40.5"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:00:00Z","timestamp":1743120000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:00:00Z","timestamp":1743120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100016350","name":"Sichuan Provincial Administration of Traditional Chinese Medicine","doi-asserted-by":"publisher","award":["2023zd012"],"award-info":[{"award-number":["2023zd012"]}],"id":[{"id":"10.13039\/501100016350","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008402","name":"Chengdu University of Traditional Chinese Medicine","doi-asserted-by":"publisher","award":["2023KCY16"],"award-info":[{"award-number":["2023KCY16"]}],"id":[{"id":"10.13039\/501100008402","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hospital of Chengdu University of Traditional Chinese Medicine","award":["21ZS01","20Y13"],"award-info":[{"award-number":["21ZS01","20Y13"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Clin Rheumatol"],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1007\/s10067-025-07402-2","type":"journal-article","created":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T19:43:32Z","timestamp":1743363812000},"page":"2053-2065","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integration of metabolomics and genomics implicates a causality between 1398 blood metabolites and gout"],"prefix":"10.1007","volume":"44","author":[{"given":"Mingyuan","family":"Fan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhangjun","family":"Yun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiushu","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingyi","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyan","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haipo","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5808-6276","authenticated-orcid":false,"given":"Hong","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,28]]},"reference":[{"issue":"7","key":"7402_CR1","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1038\/s41584-020-0441-1","volume":"16","author":"M Dehlin","year":"2020","unstructured":"Dehlin M, Jacobsson L, Roddy E (2020) Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors. Nat Rev Rheumatol 16(7):380\u2013390. https:\/\/doi.org\/10.1038\/s41584-020-0441-1","journal-title":"Nat Rev Rheumatol"},{"issue":"7","key":"7402_CR2","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1093\/rheumatology\/kez476","volume":"59","author":"Y Xia","year":"2020","unstructured":"Xia Y, Wu Q, Wang H et al (2020) Global, regional and national burden of gout, 1990\u20132017: a systematic analysis of the global burden of disease study. Rheumatology 59(7):1529\u20131538. https:\/\/doi.org\/10.1093\/rheumatology\/kez476","journal-title":"Rheumatology"},{"issue":"6","key":"7402_CR3","doi-asserted-by":"publisher","first-page":"700","DOI":"10.2174\/1381612825666190408122557","volume":"25","author":"S Zhang","year":"2019","unstructured":"Zhang S, Wang Y, Cheng J et al (2019) Hyperuricemia and cardiovascular disease. Curr Pharm Des 25(6):700\u2013709. https:\/\/doi.org\/10.2174\/1381612825666190408122557","journal-title":"Curr Pharm Des"},{"key":"7402_CR4","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1159\/000484282","volume":"192","author":"YOJA Tamayo","year":"2018","unstructured":"Tamayo YOJA (2018) Systemic implications of hyperuricemia. Contrib Nephrol 192:82\u201387. https:\/\/doi.org\/10.1159\/000484282","journal-title":"Contrib Nephrol"},{"issue":"8","key":"7402_CR5","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1002\/phar.1788","volume":"36","author":"L Wilson","year":"2016","unstructured":"Wilson L, Saseen JJ (2016) Gouty arthritis: a review of acute management and prevention. Pharmacotherapy 36(8):906\u2013922. https:\/\/doi.org\/10.1002\/phar.1788","journal-title":"Pharmacotherapy"},{"key":"7402_CR6","doi-asserted-by":"publisher","first-page":"917056","DOI":"10.3389\/fendo.2022.917056","volume":"13","author":"Y Yang","year":"2022","unstructured":"Yang Y, Xian W, Wu D et al (2022) The role of obesity, type 2 diabetes, and metabolic factors in gout: a Mendelian randomization study. Front Endocrinol 13:917056. https:\/\/doi.org\/10.3389\/fendo.2022.917056","journal-title":"Front Endocrinol"},{"key":"7402_CR7","doi-asserted-by":"publisher","unstructured":"Syed AAS, Fahira A, Yang Q et al (2022) The relationship between alcohol consumption and gout: a Mendelian randomization study. Genes 13(4). https:\/\/doi.org\/10.3390\/genes13040557","DOI":"10.3390\/genes13040557"},{"issue":"11","key":"7402_CR8","doi-asserted-by":"publisher","first-page":"2096","DOI":"10.1002\/art.41779","volume":"73","author":"N McCormick","year":"2021","unstructured":"McCormick N, O\u2019Connor MJ, Yokose C et al (2021) Assessing the causal relationships between insulin resistance and hyperuricemia and gout using bidirectional Mendelian randomization. Arthritis Rheumatol 73(11):2096\u20132104. https:\/\/doi.org\/10.1002\/art.41779","journal-title":"Arthritis Rheumatol"},{"issue":"7","key":"7402_CR9","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1038\/nrm.2016.25","volume":"17","author":"CH Johnson","year":"2016","unstructured":"Johnson CH, Ivanisevic J, Siuzdak G (2016) Metabolomics: beyond biomarkers and towards mechanisms. Nat Rev Mol Cell Biol 17(7):451\u2013459. https:\/\/doi.org\/10.1038\/nrm.2016.25","journal-title":"Nat Rev Mol Cell Biol"},{"issue":"10","key":"7402_CR10","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/s11926-017-0688-y","volume":"19","author":"GE Thottam","year":"2017","unstructured":"Thottam GE, Krasnokutsky S, Pillinger MH (2017) Gout and metabolic syndrome: a tangled web. Curr Rheumatol Rep 19(10):60. https:\/\/doi.org\/10.1007\/s11926-017-0688-y","journal-title":"Curr Rheumatol Rep"},{"key":"7402_CR11","doi-asserted-by":"publisher","first-page":"e14554","DOI":"10.7717\/peerj.14554","volume":"11","author":"X Wu","year":"2023","unstructured":"Wu X, You C (2023) The biomarkers discovery of hyperuricemia and gout: proteomics and metabolomics. PeerJ 11:e14554. https:\/\/doi.org\/10.7717\/peerj.14554","journal-title":"PeerJ"},{"issue":"1","key":"7402_CR12","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/s41588-022-01270-1","volume":"55","author":"Y Chen","year":"2023","unstructured":"Chen Y, Lu T, Pettersson-Kymmer U et al (2023) Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseases. Nat Genet 55(1):44\u201353. https:\/\/doi.org\/10.1038\/s41588-022-01270-1","journal-title":"Nat Genet"},{"issue":"7944","key":"7402_CR13","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1038\/s41586-022-05473-8","volume":"613","author":"MI Kurki","year":"2023","unstructured":"Kurki MI, Karjalainen J, Palta P et al (2023) FinnGen provides genetic insights from a well-phenotyped isolated population. Nature 613(7944):508\u2013518. https:\/\/doi.org\/10.1038\/s41586-022-05473-8","journal-title":"Nature"},{"issue":"4","key":"7402_CR14","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1038\/s43587-021-00051-5","volume":"1","author":"HM D\u00f6nerta\u015f","year":"2021","unstructured":"D\u00f6nerta\u015f HM, Fabian DK, Valenzuela MF, Partridge L, Thornton JM (2021) Common genetic associations between age-related diseases. Nat Aging 1(4):400\u2013412. https:\/\/doi.org\/10.1038\/s43587-021-00051-5","journal-title":"Nat Aging"},{"issue":"5","key":"7402_CR15","doi-asserted-by":"publisher","first-page":"e1004383","DOI":"10.1371\/journal.pgen.1004383","volume":"10","author":"C Giambartolomei","year":"2014","unstructured":"Giambartolomei C, Vukcevic D, Schadt EE et al (2014) Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet 10(5):e1004383. https:\/\/doi.org\/10.1371\/journal.pgen.1004383","journal-title":"PLoS Genet"},{"issue":"1","key":"7402_CR16","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1038\/s41467-020-20885-8","volume":"12","author":"CN Foley","year":"2021","unstructured":"Foley CN, Staley JR, Breen PG et al (2021) A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits. Nat Commun 12(1):764. https:\/\/doi.org\/10.1038\/s41467-020-20885-8","journal-title":"Nat Commun"},{"issue":"11","key":"7402_CR17","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1038\/nrrheum.2015.91","volume":"11","author":"CF Kuo","year":"2015","unstructured":"Kuo CF, Grainge MJ, Zhang W, Doherty M (2015) Global epidemiology of gout: prevalence, incidence and risk factors. Nat Rev Rheumatol 11(11):649\u2013662. https:\/\/doi.org\/10.1038\/nrrheum.2015.91","journal-title":"Nat Rev Rheumatol"},{"issue":"2","key":"7402_CR18","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1097\/BOR.0b013e3283438e13","volume":"23","author":"JA Singh","year":"2011","unstructured":"Singh JA, Reddy SG, Kundukulam J (2011) Risk factors for gout and prevention: a systematic review of the literature. Curr Opin Rheumatol 23(2):192\u2013202. https:\/\/doi.org\/10.1097\/BOR.0b013e3283438e13","journal-title":"Curr Opin Rheumatol"},{"issue":"Database issue","key":"7402_CR19","doi-asserted-by":"publisher","first-page":"D478","DOI":"10.1093\/nar\/gkt1067","volume":"42","author":"T Jewison","year":"2014","unstructured":"Jewison T, Su Y, Disfany FM et al (2014) SMPDB 2.0: big improvements to the small molecule pathway database. Nucleic Acids Res 42(Database issue):D478-84. https:\/\/doi.org\/10.1093\/nar\/gkt1067","journal-title":"Nucleic Acids Res"},{"key":"7402_CR20","doi-asserted-by":"publisher","unstructured":"Gnoni A, Longo S, Gnoni GV, Giudetti AM (2020) Carnitine in human muscle bioenergetics: can carnitine supplementation improve physical exercise?. Molecules 25(1). https:\/\/doi.org\/10.3390\/molecules25010182","DOI":"10.3390\/molecules25010182"},{"issue":"10","key":"7402_CR21","doi-asserted-by":"publisher","first-page":"2422","DOI":"10.1016\/j.bbamcr.2016.01.023","volume":"1863","author":"N Longo","year":"2016","unstructured":"Longo N, Frigeni M, Pasquali M (2016) Carnitine transport and fatty acid oxidation. Biochem Biophys Acta 1863(10):2422\u20132435. https:\/\/doi.org\/10.1016\/j.bbamcr.2016.01.023","journal-title":"Biochem Biophys Acta"},{"issue":"4","key":"7402_CR22","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/bf02020743","volume":"21","author":"AC Bach","year":"1982","unstructured":"Bach AC (1982) Carnitine in human nutrition. Z Ernahrungswiss 21(4):257\u2013265. https:\/\/doi.org\/10.1007\/bf02020743","journal-title":"Z Ernahrungswiss"},{"issue":"6","key":"7402_CR23","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.6133\/apjcn.201811_27(6).0022","volume":"27","author":"R Li","year":"2018","unstructured":"Li R, Yu K, Li C (2018) Dietary factors and risk of gout and hyperuricemia: a meta-analysis and systematic review. Asia Pac J Clin Nutr 27(6):1344\u20131356. https:\/\/doi.org\/10.6133\/apjcn.201811_27(6).0022","journal-title":"Asia Pac J Clin Nutr"},{"issue":"9","key":"7402_CR24","first-page":"533","volume":"102","author":"KT Clebak","year":"2020","unstructured":"Clebak KT, Morrison A, Croad JR (2020) Gout: rapid evidence review. Am Fam Physician 102(9):533\u2013538","journal-title":"Am Fam Physician"},{"issue":"5","key":"7402_CR25","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1038\/nm.3145","volume":"19","author":"RA Koeth","year":"2013","unstructured":"Koeth RA, Wang Z, Levison BS et al (2013) Intestinal microbiota metabolism of L-carnitine, a nutrient in red meat, promotes atherosclerosis. Nat Med 19(5):576\u2013585. https:\/\/doi.org\/10.1038\/nm.3145","journal-title":"Nat Med"},{"issue":"8","key":"7402_CR26","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1136\/gutjnl-2018-317155","volume":"68","author":"WK Wu","year":"2019","unstructured":"Wu WK, Chen CC, Liu PY et al (2019) Identification of TMAO-producer phenotype and host-diet-gut dysbiosis by carnitine challenge test in human and germ-free mice. Gut 68(8):1439\u20131449. https:\/\/doi.org\/10.1136\/gutjnl-2018-317155","journal-title":"Gut"},{"issue":"33","key":"7402_CR27","doi-asserted-by":"publisher","first-page":"10182","DOI":"10.1021\/acs.jafc.2c03099","volume":"70","author":"X Zhou","year":"2022","unstructured":"Zhou X, Zhang B, Zhao X et al (2022) Chlorogenic acid prevents hyperuricemia nephropathy via regulating TMAO-related gut microbes and inhibiting the PI3K\/AKT\/mTOR pathway. J Agric Food Chem 70(33):10182\u201310193. https:\/\/doi.org\/10.1021\/acs.jafc.2c03099","journal-title":"J Agric Food Chem"},{"issue":"4","key":"7402_CR28","doi-asserted-by":"publisher","first-page":"1286","DOI":"10.1093\/advances\/nmab010","volume":"12","author":"Y Zeng","year":"2021","unstructured":"Zeng Y, Guo M, Fang X et al (2021) Gut microbiota-derived trimethylamine N-oxide and kidney function: a systematic review and meta-analysis. Adv Nutr 12(4):1286\u20131304. https:\/\/doi.org\/10.1093\/advances\/nmab010","journal-title":"Adv Nutr"},{"issue":"1","key":"7402_CR29","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1136\/annrheumdis-2014-205877","volume":"75","author":"AJ Phipps-Green","year":"2016","unstructured":"Phipps-Green AJ, Merriman ME, Topless R et al (2016) Twenty-eight loci that influence serum urate levels: analysis of association with gout. Ann Rheum Dis 75(1):124\u2013130. https:\/\/doi.org\/10.1136\/annrheumdis-2014-205877","journal-title":"Ann Rheum Dis"},{"issue":"2","key":"7402_CR30","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1016\/j.bbrc.2019.11.137","volume":"522","author":"Y Futagi","year":"2020","unstructured":"Futagi Y, Narumi K, Furugen A, Kobayashi M, Iseki K (2020) Molecular characterization of the orphan transporter SLC16A9, an extracellular pH- and Na(+)-sensitive creatine transporter. Biochem Biophys Res Commun 522(2):539\u2013544. https:\/\/doi.org\/10.1016\/j.bbrc.2019.11.137","journal-title":"Biochem Biophys Res Commun"},{"issue":"4","key":"7402_CR31","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s13577-013-0073-8","volume":"26","author":"A Nakayama","year":"2013","unstructured":"Nakayama A, Matsuo H, Shimizu T et al (2013) Common missense variant of monocarboxylate transporter 9 (MCT9\/SLC16A9) gene is associated with renal overload gout, but not with all gout susceptibility. Hum Cell 26(4):133\u2013136. https:\/\/doi.org\/10.1007\/s13577-013-0073-8","journal-title":"Hum Cell"},{"issue":"6","key":"7402_CR32","doi-asserted-by":"publisher","first-page":"e1000504","DOI":"10.1371\/journal.pgen.1000504","volume":"5","author":"M Kolz","year":"2009","unstructured":"Kolz M, Johnson T, Sanna S et al (2009) Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations. PLoS Genet 5(6):e1000504. https:\/\/doi.org\/10.1371\/journal.pgen.1000504","journal-title":"PLoS Genet"},{"key":"7402_CR33","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.eplepsyres.2019.05.010","volume":"154","author":"L Chen","year":"2019","unstructured":"Chen L, Tian Q, Zhang M et al (2019) CPS1 T1405N polymorphism, HDL cholesterol, homocysteine and renal function are risk factors of VPA induced hyperammonemia among epilepsy patients. Epilepsy Res 154:139\u2013143. https:\/\/doi.org\/10.1016\/j.eplepsyres.2019.05.010","journal-title":"Epilepsy Res"},{"issue":"1","key":"7402_CR34","doi-asserted-by":"publisher","first-page":"3418","DOI":"10.1038\/s41598-022-06614-9","volume":"12","author":"R Gallego-Dur\u00e1n","year":"2022","unstructured":"Gallego-Dur\u00e1n R, Ampuero J, Pastor-Ram\u00edrez H et al (2022) Liver injury in non-alcoholic fatty liver disease is associated with urea cycle enzyme dysregulation. Scientific Rep 12(1):3418. https:\/\/doi.org\/10.1038\/s41598-022-06614-9","journal-title":"Scientific Rep"},{"issue":"8","key":"7402_CR35","doi-asserted-by":"publisher","first-page":"e1002215","DOI":"10.1371\/journal.pgen.1002215","volume":"7","author":"K Mittelstrass","year":"2011","unstructured":"Mittelstrass K, Ried JS, Yu Z et al (2011) Discovery of sexual dimorphisms in metabolic and genetic biomarkers. PLoS Genet 7(8):e1002215. https:\/\/doi.org\/10.1371\/journal.pgen.1002215","journal-title":"PLoS Genet"},{"issue":"1","key":"7402_CR36","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1186\/s13075-018-1600-5","volume":"20","author":"Y Zhang","year":"2018","unstructured":"Zhang Y, Zhang H, Chang D, Guo F, Pan H, Yang Y (2018) Metabolomics approach by (1)H NMR spectroscopy of serum reveals progression axes for asymptomatic hyperuricemia and gout. Arthritis Res Ther. 20(1):111. https:\/\/doi.org\/10.1186\/s13075-018-1600-5","journal-title":"Arthritis Res Ther."},{"issue":"2","key":"7402_CR37","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s11926-012-0307-x","volume":"15","author":"JA Singh","year":"2013","unstructured":"Singh JA (2013) Racial and gender disparities among patients with gout. Curr Rheumatol Rep 15(2):307. https:\/\/doi.org\/10.1007\/s11926-012-0307-x","journal-title":"Curr Rheumatol Rep"},{"key":"7402_CR38","doi-asserted-by":"publisher","first-page":"110835","DOI":"10.1016\/j.biopha.2020.110835","volume":"132","author":"N Yang","year":"2020","unstructured":"Yang N, Dong YQ, Jia GX et al (2020) ASBT(SLC10A2): A promising target for treatment of diseases and drug discovery. Biomed Pharmacother 132:110835. https:\/\/doi.org\/10.1016\/j.biopha.2020.110835","journal-title":"Biomed Pharmacother"},{"key":"7402_CR39","doi-asserted-by":"publisher","unstructured":"Kang S, Park HW, Han KH (2022) Antibodies regulate dual-function enzyme IYD to induce functional synergy between metabolism and thermogenesis. Int J Mol Sci 23(14). https:\/\/doi.org\/10.3390\/ijms23147834","DOI":"10.3390\/ijms23147834"},{"key":"7402_CR40","doi-asserted-by":"publisher","first-page":"165","DOI":"10.3389\/fendo.2013.00165","volume":"4","author":"Y Zhou","year":"2013","unstructured":"Zhou Y, Danbolt NC (2013) GABA and glutamate transporters in brain. Front Endocrinol 4:165. https:\/\/doi.org\/10.3389\/fendo.2013.00165","journal-title":"Front Endocrinol"},{"key":"7402_CR41","doi-asserted-by":"publisher","unstructured":"Stirnemann J, Belmatoug N, Camou F et al (2017) A review of Gaucher disease pathophysiology, clinical presentation and treatments. Int J Mol Sci 18(2). https:\/\/doi.org\/10.3390\/ijms18020441","DOI":"10.3390\/ijms18020441"},{"issue":"4","key":"7402_CR42","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1002\/path.1711160403","volume":"116","author":"M Chang-Lo","year":"1975","unstructured":"Chang-Lo M, Yam LT, Rubenstone AI, Schwartz SO (1975) Gaucher\u2019s disease associated with chronic lymphocytic leukaemia, gout and carcinoma. J Pathol 116(4):203\u2013207. https:\/\/doi.org\/10.1002\/path.1711160403","journal-title":"J Pathol"},{"issue":"11","key":"7402_CR43","doi-asserted-by":"publisher","first-page":"2408","DOI":"10.1111\/liv.12842","volume":"35","author":"S Zelber-Sagi","year":"2015","unstructured":"Zelber-Sagi S, Ben-Assuli O, Rabinowich L et al (2015) The association between the serum levels of uric acid and alanine aminotransferase in a population-based cohort. Liver Int: Off J Int Assoc Stud Liver 35(11):2408\u20132415. https:\/\/doi.org\/10.1111\/liv.12842","journal-title":"Liver Int: Off J Int Assoc Stud Liver"},{"key":"7402_CR44","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1016\/j.neuroscience.2011.02.047","volume":"181","author":"K Aoyama","year":"2011","unstructured":"Aoyama K, Matsumura N, Watabe M, Wang F, Kikuchi-Utsumi K, Nakaki T (2011) Caffeine and uric acid mediate glutathione synthesis for neuroprotection. Neuroscience 181:206\u2013215. https:\/\/doi.org\/10.1016\/j.neuroscience.2011.02.047","journal-title":"Neuroscience"},{"issue":"5","key":"7402_CR45","doi-asserted-by":"publisher","first-page":"762","DOI":"10.3897\/folmed.64.e65507","volume":"64","author":"D Vankova","year":"2022","unstructured":"Vankova D, Kiselova-Kaneva Y, Ivanova D (2022) Uric acid effects on glutathione metabolism estimated by induction of glutamate-cysteine ligase, glutathione reductase and glutathione synthetase in mouse J744A.1 macrophage cell line. Folia Med 64(5):762\u2013769. https:\/\/doi.org\/10.3897\/folmed.64.e65507","journal-title":"Folia Med"},{"issue":"6","key":"7402_CR46","first-page":"889","volume":"8","author":"P Phelps","year":"1981","unstructured":"Phelps P, Andrews R, Rosenbloom J (1981) Demonstration of chemotactic factor in human gout: further characterization of occurrence and structure. J Rheumatol 8(6):889\u2013894","journal-title":"J Rheumatol"},{"issue":"1","key":"7402_CR47","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1186\/s12199-017-0609-8","volume":"22","author":"MH Mahbub","year":"2017","unstructured":"Mahbub MH, Yamaguchi N, Takahashi H et al (2017) Alteration in plasma free amino acid levels and its association with gout. Environ Health Prev Med 22(1):7. https:\/\/doi.org\/10.1186\/s12199-017-0609-8","journal-title":"Environ Health Prev Med"},{"key":"7402_CR48","doi-asserted-by":"publisher","first-page":"1238","DOI":"10.3389\/fphar.2018.01238","volume":"9","author":"X Zhou","year":"2018","unstructured":"Zhou X, Wu M, Xie Y et al (2018) Identification of glycine receptor \u03b13 as a colchicine-binding protein. Front Pharmacol 9:1238. https:\/\/doi.org\/10.3389\/fphar.2018.01238","journal-title":"Front Pharmacol"},{"issue":"11","key":"7402_CR49","doi-asserted-by":"publisher","first-page":"1506","DOI":"10.1016\/j.joca.2022.06.010","volume":"30","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Li D, Zhu Z et al (2022) Evaluating the impact of metformin targets on the risk of osteoarthritis: a Mendelian randomization study. Osteoarthr Cartil 30(11):1506\u20131514. https:\/\/doi.org\/10.1016\/j.joca.2022.06.010","journal-title":"Osteoarthr Cartil"}],"container-title":["Clinical Rheumatology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10067-025-07402-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10067-025-07402-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10067-025-07402-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T08:13:08Z","timestamp":1747210388000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10067-025-07402-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,28]]},"references-count":49,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,5]]}},"alternative-id":["7402"],"URL":"https:\/\/doi.org\/10.1007\/s10067-025-07402-2","relation":{},"ISSN":["0770-3198","1434-9949"],"issn-type":[{"type":"print","value":"0770-3198"},{"type":"electronic","value":"1434-9949"}],"subject":[],"published":{"date-parts":[[2025,3,28]]},"assertion":[{"value":"29 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 February 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 March 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"All data in this study are available in publicly available databases. No additional ethical approval was required.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"None.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosures"}}]}}