{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T21:37:01Z","timestamp":1792532221752,"version":"4.5.0"},"reference-count":42,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T00:00:00Z","timestamp":1669939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Epidemiological evidence of the associations between metal exposure and gout-related outcomes (including serum uric acid [SUA], hyperuricemia and gout) is scarce. The aim of the study is to investigate the associations of metal exposure with SUA, hyperuricemia and gout in general adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this study, the exposure to five blood metals (mercury, manganese, lead, cadmium and selenium) of general adults was analyzed based on the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018 (n = 14,871). Linear, logistic and weighted quantile sum (WQS) regression models were applied to examine the associations of blood metals with gout-related outcomes. Possible dose-response relationships were analyzed through restricted cubic spline regression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Compared with the lowest quartile of blood metals, mercury (quartile 2 and 4), lead (quartile 2, 3, and 4) and selenium (quartile 2 and 4) were found to be positively correlated with SUA and hyperuricemia. Higher levels of mercury and lead were associated with gout, but only those in the fourth quartile had statistical significance (OR [95%CI]: 1.39 [1.10-1.75] and 1.905 [1.41-2.57]) respectively). The WQS index of the blood metals was independently correlated with SUA (\u03b2 [95%CI]: 0.17 [0.13-0.20]), hyperuricemia (OR [95%CI]: 1.29 [1.16-1.42]) and gout (OR [95%CI]: 1.35 [1.15-1.58]). Among them, lead was the most heavily weighted component (weight = 0.589 for SUA, 0.482 for hyperuricemia, and 0.527 for gout). In addition, restricted cubic spline regression models showed a linear association of lead with the prevalence of hyperuricemia and gout.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our results suggested that blood metal mixtures were positively associated with gout-related outcomes, with the greatest effect coming from lead.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fendo.2022.1052784","type":"journal-article","created":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T00:00:51Z","timestamp":1669939251000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":36,"title":["Associations of metal exposure with hyperuricemia and gout in general adults"],"prefix":"10.3389","volume":"13","author":[{"given":"Jing","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rutai","family":"Hui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujie","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junkui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuang","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,12,2]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1172\/JCI42344","article-title":"Uric acid transport and disease","volume":"120","author":"So","year":"2010","journal-title":"J Clin Invest"},{"key":"B2","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.ijcard.2015.08.109","article-title":"Regulation of uric acid metabolism and excretion","volume":"213","author":"Maiuolo","year":"2016","journal-title":"Int J Cardiol"},{"key":"B3","article-title":"Gout","volume-title":"StatPearls","author":"Fenando","year":"2022"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1136\/annrheumdis-2019-215315","article-title":"2018 updated European league against rheumatism evidence-based recommendations for the diagnosis of gout","volume":"79","author":"Richette","year":"2020","journal-title":"Ann Rheum Dis"},{"key":"B5","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1053\/j.ajkd.2008.12.021","article-title":"Uric acid and long-term outcomes in CKD","volume":"53","author":"Madero","year":"2009","journal-title":"Am J Kidney Dis"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1136\/heartjnl-2012-302535","article-title":"The role of uric acid in the pathogenesis of human cardiovascular disease","volume":"99","author":"Kanbay","year":"2013","journal-title":"Heart."},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.117.007523","article-title":"Tarng DC. 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