{"id":136825,"date":"2025-11-13T03:15:07","date_gmt":"2025-11-13T03:15:07","guid":{"rendered":"https:\/\/www.newsbeep.com\/ie\/136825\/"},"modified":"2025-11-13T03:15:07","modified_gmt":"2025-11-13T03:15:07","slug":"serum-uric-acid-mediates-the-association-between-the-estimated-glucose-disposal-rate-and-chronic-kidney-disease-in-patients-with-diabetes-or-prediabetes-an-analysis-from-nhanes-2005-2018-bm","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ie\/136825\/","title":{"rendered":"Serum uric acid mediates the association between the estimated glucose disposal rate and chronic kidney disease in patients with diabetes or prediabetes: an analysis from NHANES 2005\u20132018 | BMC Endocrine Disorders"},"content":{"rendered":"<p class=\"c-article-references__text\" id=\"ref-CR1\">Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan B B, et al. IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183:109119. <a href=\"https:\/\/doi.org\/10.1016\/j.diabres.2021.109119\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.diabres.2021.109119\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.diabres.2021.109119<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR2\">Rooney MR, Fang M, Ogurtsova K, Ozkan B, Echouffo-Tcheugui J B, Boyko E J, et al. Global prevalence of prediabetes. Diabetes Care. 2023;46:1388\u201394. <a href=\"https:\/\/doi.org\/10.2337\/dc22-2376\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.2337\/dc22-2376\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.2337\/dc22-2376<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR3\">Alicic RZ, Rooney MT, Tuttle K R. Diabetic kidney disease: challenges, progress, and possibilities. Clin J Am Soc Nephrol. 2017;12:2032\u201345. <a href=\"https:\/\/doi.org\/10.2215\/cjn.11491116\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.2215\/cjn.11491116\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.2215\/cjn.11491116<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR4\">Plantinga LC, Crews DC, Coresh J, Miller E R SR 3rd, Yee J, et al. Prevalence of chronic kidney disease in US adults with undiagnosed diabetes or prediabetes. Clin J Am Soc Nephrol. 2010;5:673\u201382. <a href=\"https:\/\/doi.org\/10.2215\/cjn.07891109\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.2215\/cjn.07891109\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.2215\/cjn.07891109<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR5\">Kheirandish M, Eftekhar E, Azarbad A, Salarpour E, Shahmoradi M, Ghazizadeh S, et al. Prevalence of chronic kidney disease and associated factors among the diabetic and prediabetic population in the Bandare-Kong cohort Study; a population-based study. Arch Iran Med. 2024;27:470\u201378. <a href=\"https:\/\/doi.org\/10.34172\/aim.31194\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.34172\/aim.31194\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.34172\/aim.31194<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR6\">Honigberg MC, Zekavat SM, Pirruccello JP, Natarajan P, Vaduganathan M. Cardiovascular and kidney outcomes across the glycemic spectrum: insights from the UK Biobank. J Am Coll Cardiol. 2021;78:453\u201364. <a href=\"https:\/\/doi.org\/10.1016\/j.jacc.2021.05.004\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.jacc.2021.05.004\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.jacc.2021.05.004<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR7\">Gardiner FW, Nwose EU, Bwititi PT, Crockett J, Wang L. Blood glucose and pressure controls in diabetic kidney disease: narrative review of adherence, barriers and evidence of achievement. J Diabetes Complications. 2018;32:104\u201312. <a href=\"https:\/\/doi.org\/10.1016\/j.jdiacomp.2017.09.008\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.jdiacomp.2017.09.008\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.jdiacomp.2017.09.008<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR8\">F\u00e6rch K, Johansen N B, Witte D R, Lauritzen T, J\u00f8rgensen M, Vistisen D. Relationship between insulin resistance and \u03b2-cell dysfunction in subphenotypes of prediabetes and type 2 diabetes. J Clin Endocrinol Metab. 2015;100:707\u201316. <a href=\"https:\/\/doi.org\/10.1210\/jc.2014-2853\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1210\/jc.2014-2853\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1210\/jc.2014-2853<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR9\">Artunc F, Schleicher E, Weigert C, Fritsche A, Stefan N, H\u00e4ring H. The impact of insulin resistance on the kidney and vasculature. Nat Rev Nephrol. 2016;12:721\u201337. <a href=\"https:\/\/doi.org\/10.1038\/nrneph.2016.145\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1038\/nrneph.2016.145\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1038\/nrneph.2016.145<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR10\">Rogacka D. Insulin resistance in glomerular podocytes: potential mechanisms of induction. Arch Biochem Biophys. 2021;710:109005. <a href=\"https:\/\/doi.org\/10.1016\/j.abb.2021.109005\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.abb.2021.109005\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.abb.2021.109005<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR11\">A DR, Tobin J D, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979;237:E214\u2013223. <a href=\"https:\/\/doi.org\/10.1152\/ajpendo.1979.237.3.E214\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1152\/ajpendo.1979.237.3.E214\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1152\/ajpendo.1979.237.3.E214<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR12\">Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner R C. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28:412\u201319. <a href=\"https:\/\/doi.org\/10.1007\/bf00280883\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1007\/bf00280883\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1007\/bf00280883<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR13\">Guerrero-Romero F, Simental-Mend\u00eda L, Gonz\u00e1lez-Ortiz M, Mart\u00ednez-Abundis E, Ramos-Zavala M G, O H-GS, et al. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2010;95:3347\u201351. <a href=\"https:\/\/doi.org\/10.1210\/jc.2010-0288\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1210\/jc.2010-0288\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1210\/jc.2010-0288<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR14\">Zhu Q, Chen Y, Cai X, Cai L, Hong J, Luo Q, et al. The non-linear relationship between triglyceride-glucose index and risk of chronic kidney disease in hypertensive patients with abnormal glucose metabolism: a cohort study. Front Med (Lausanne). 2022;9:1018083. <a href=\"https:\/\/doi.org\/10.3389\/fmed.2022.1018083\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.3389\/fmed.2022.1018083\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.3389\/fmed.2022.1018083<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR15\">Williams KV, Erbey JR, Becker D, Arslanian S, Orchard T J. Can clinical factors estimate insulin resistance in type 1 diabetes? Diabetes. 2000;49:626\u201332. <a href=\"https:\/\/doi.org\/10.2337\/diabetes.49.4.626\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.2337\/diabetes.49.4.626\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.2337\/diabetes.49.4.626<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR16\">Liao J, Wang L, Duan L, Gong F, Zhu H, Pan H, et al. Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study. Cardiovasc Diabetol. 2025;24(13). <a href=\"https:\/\/doi.org\/10.1186\/s12933-024-02570-y\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1186\/s12933-024-02570-y\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s12933-024-02570-y<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR17\">Yau K, Kuah R, Cherney D Z I, Lam T K T. Obesity and the kidney: mechanistic links and therapeutic advances. Nat Rev Endocrinol. 2024;20:321\u201335. <a href=\"https:\/\/doi.org\/10.1038\/s41574-024-00951-7\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1038\/s41574-024-00951-7\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1038\/s41574-024-00951-7<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR18\">Ku E, Lee B J, Wei J, Weir M R. Hypertension in CKD: core curriculum 2019. Am J Kidney Dis. 2019;74:120\u201331. <a href=\"https:\/\/doi.org\/10.1053\/j.ajkd.2018.12.044\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1053\/j.ajkd.2018.12.044\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1053\/j.ajkd.2018.12.044<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR19\">Galindo RJ, Beck RW, Scioscia MF, Umpierrez GE, Tuttle K R. Glycemic monitoring and management in advanced chronic kidney disease. Endocr Rev. 2020;41:756\u201374. <a href=\"https:\/\/doi.org\/10.1210\/endrev\/bnaa017\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1210\/endrev\/bnaa017\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1210\/endrev\/bnaa017<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1210\/endrev\/bnaa017\" data-track-item_id=\"10.1210\/endrev\/bnaa017\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1210%2Fendrev%2Fbnaa017\" aria-label=\"Article reference 19\" data-doi=\"10.1210\/endrev\/bnaa017\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=32455432\" aria-label=\"PubMed reference 19\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed central reference\" data-track-action=\"pubmed central reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC7366347\" aria-label=\"PubMed Central reference 19\" target=\"_blank\">PubMed Central<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 19\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Glycemic%20monitoring%20and%20management%20in%20advanced%20chronic%20kidney%20disease&amp;journal=Endocr%20Rev&amp;doi=10.1210%2Fendrev%2Fbnaa017&amp;volume=41&amp;pages=756-74&amp;publication_year=2020&amp;author=Galindo%2CRJ&amp;author=Beck%2CRW&amp;author=Scioscia%2CMF&amp;author=Umpierrez%2CGE&amp;author=Tuttle%20K%2CR\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR20\">Maiuolo J, Oppedisano F, Gratteri S, Muscoli C, Mollace V. Regulation of uric acid metabolism and excretion. Int J Cardiol. 2016;213:8\u201314. <a href=\"https:\/\/doi.org\/10.1016\/j.ijcard.2015.08.109\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.ijcard.2015.08.109\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.ijcard.2015.08.109<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1016\/j.ijcard.2015.08.109\" data-track-item_id=\"10.1016\/j.ijcard.2015.08.109\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1016%2Fj.ijcard.2015.08.109\" aria-label=\"Article reference 20\" data-doi=\"10.1016\/j.ijcard.2015.08.109\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=26316329\" aria-label=\"PubMed reference 20\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 20\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Regulation%20of%20uric%20acid%20metabolism%20and%20excretion&amp;journal=Int%20J%20Cardiol&amp;doi=10.1016%2Fj.ijcard.2015.08.109&amp;volume=213&amp;pages=8-14&amp;publication_year=2016&amp;author=Maiuolo%2CJ&amp;author=Oppedisano%2CF&amp;author=Gratteri%2CS&amp;author=Muscoli%2CC&amp;author=Mollace%2CV\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR21\">Song S, Cai X, Hu J, Zhu Q, Shen D, Ma H, et al. Serum uric acid and bone health in middle-aged and elderly hypertensive patients: a potential U-Shaped association and implications for future fracture risk. Metabolites. 2025;15. <a href=\"https:\/\/doi.org\/10.3390\/metabo15010015\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.3390\/metabo15010015\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.3390\/metabo15010015<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR22\">Yanai H, Adachi H, Hakoshima M, Katsuyama H. Molecular biological and clinical understanding of the pathophysiology and treatments of hyperuricemia and its association with metabolic syndrome, cardiovascular diseases and chronic kidney disease. Int J Mol Sci. 2021;22. <a href=\"https:\/\/doi.org\/10.3390\/ijms22179221\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.3390\/ijms22179221\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.3390\/ijms22179221<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR23\">Kang DH, Nakagawa T, Feng L, Watanabe S, Han L, Mazzali M, et al. A role for uric acid in the progression of renal disease. J Am Soc Nephrol. 2002;13:2888\u201397. <a href=\"https:\/\/doi.org\/10.1097\/01.asn.0000034910.58454.fd\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1097\/01.asn.0000034910.58454.fd\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1097\/01.asn.0000034910.58454.fd<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR24\">Zhuang Y, Feng Q, Ding G, Zhao M, Che R, Bai M, et al. Activation of ERK1\/2 by NADPH oxidase-originated reactive oxygen species mediates uric acid-induced mesangial cell proliferation. Am J Physiol Renal Physiol. 2014;307:F396\u2013406. <a href=\"https:\/\/doi.org\/10.1152\/ajprenal.00565.2013\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1152\/ajprenal.00565.2013\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1152\/ajprenal.00565.2013<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1152\/ajprenal.00565.2013\" data-track-item_id=\"10.1152\/ajprenal.00565.2013\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1152%2Fajprenal.00565.2013\" aria-label=\"Article reference 24\" data-doi=\"10.1152\/ajprenal.00565.2013\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:CAS:528:DC%2BC2cXhsFanu7%2FM\" aria-label=\"CAS reference 24\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=24573389\" aria-label=\"PubMed reference 24\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 24\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Activation%20of%20ERK1%2F2%20by%20NADPH%20oxidase-originated%20reactive%20oxygen%20species%20mediates%20uric%20acid-induced%20mesangial%20cell%20proliferation&amp;journal=Am%20J%20Physiol%20Renal%20Physiol&amp;doi=10.1152%2Fajprenal.00565.2013&amp;volume=307&amp;pages=F396-406&amp;publication_year=2014&amp;author=Zhuang%2CY&amp;author=Feng%2CQ&amp;author=Ding%2CG&amp;author=Zhao%2CM&amp;author=Che%2CR&amp;author=Bai%2CM\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR25\">Kim SM, Choi YW, Seok HY, Jeong KH, Lee SH, Lee TW, et al. Reducing serum uric acid attenuates TGF-\u03b21-induced profibrogenic progression in type 2 diabetic nephropathy. Nephron Exp Nephrol. 2012;121:e109\u2013121. <a href=\"https:\/\/doi.org\/10.1159\/000343567\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1159\/000343567\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1159\/000343567<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1159\/000343567\" data-track-item_id=\"10.1159\/000343567\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1159%2F000343567\" aria-label=\"Article reference 25\" data-doi=\"10.1159\/000343567\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:CAS:528:DC%2BC3sXjslOntL4%3D\" aria-label=\"CAS reference 25\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=23307286\" aria-label=\"PubMed reference 25\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 25\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Reducing%20serum%20uric%20acid%20attenuates%20TGF-%CE%B21-induced%20profibrogenic%20progression%20in%20type%202%20diabetic%20nephropathy&amp;journal=Nephron%20Exp%20Nephrol&amp;doi=10.1159%2F000343567&amp;volume=121&amp;pages=e109-121&amp;publication_year=2012&amp;author=Kim%2CSM&amp;author=Choi%2CYW&amp;author=Seok%2CHY&amp;author=Jeong%2CKH&amp;author=Lee%2CSH&amp;author=Lee%2CTW\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR26\">Li L, Yang C, Zhao Y, Zeng X, Liu F, Fu P. Is hyperuricemia an independent risk factor for new-onset chronic kidney disease?: a systematic review and meta-analysis based on observational cohort studies. BMC Nephrol. 2014;15:122. <a href=\"https:\/\/doi.org\/10.1186\/1471-2369-15-122\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1186\/1471-2369-15-122\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1186\/1471-2369-15-122<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"noopener nofollow\" data-track-label=\"10.1186\/1471-2369-15-122\" data-track-item_id=\"10.1186\/1471-2369-15-122\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/link.springer.com\/doi\/10.1186\/1471-2369-15-122\" aria-label=\"Article reference 26\" data-doi=\"10.1186\/1471-2369-15-122\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:CAS:528:DC%2BC2cXitFOitbnO\" aria-label=\"CAS reference 26\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=25064611\" aria-label=\"PubMed reference 26\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed central reference\" data-track-action=\"pubmed central reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC4132278\" aria-label=\"PubMed Central reference 26\" target=\"_blank\">PubMed Central<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 26\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Is%20hyperuricemia%20an%20independent%20risk%20factor%20for%20new-onset%20chronic%20kidney%20disease%3F%3A%20a%20systematic%20review%20and%20meta-analysis%20based%20on%20observational%20cohort%20studies&amp;journal=BMC%20Nephrol&amp;doi=10.1186%2F1471-2369-15-122&amp;volume=15&amp;publication_year=2014&amp;author=Li%2CL&amp;author=Yang%2CC&amp;author=Zhao%2CY&amp;author=Zeng%2CX&amp;author=Liu%2CF&amp;author=Fu%2CP\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR27\">2.Diagnosis and classification of diabetes:standards of care in diabetes-2024. Diabetes Care. 2024;47:S20\u2013s42. <a href=\"https:\/\/doi.org\/10.2337\/dc24-S002\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.2337\/dc24-S002\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.2337\/dc24-S002<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.2337\/dc24-S002\" data-track-item_id=\"10.2337\/dc24-S002\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.2337%2Fdc24-S002\" aria-label=\"Article reference 27\" data-doi=\"10.2337\/dc24-S002\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 27\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=standards%20of%20care%20in%20diabetes-2024&amp;journal=Diabetes%20Care&amp;doi=10.2337%2Fdc24-S002&amp;volume=47&amp;pages=S20-s42&amp;publication_year=2024\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR28\">Zhu H, Fu Q, Chen R, Luo L, Yu M, Zhou Y. Association of dietary decanoic acid intake with diabetes or prediabetes: an analysis from NHANES 2005-2016. Front Nutr. 2024;11:1483045. <a href=\"https:\/\/doi.org\/10.3389\/fnut.2024.1483045\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.3389\/fnut.2024.1483045\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.3389\/fnut.2024.1483045<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR29\">KDIGO. Clinical practice guideline for diabetes management in chronic kidney disease. Kidney Int. 2020 2020;98:S1\u2013s115. <a href=\"https:\/\/doi.org\/10.1016\/j.kint.2020.06.019\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.kint.2020.06.019\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.kint.2020.06.019<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR30\">Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman H I, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604\u201312. <a href=\"https:\/\/doi.org\/10.7326\/0003-4819-150-9-200905050-00006\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.7326\/0003-4819-150-9-200905050-00006\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.7326\/0003-4819-150-9-200905050-00006<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR31\">Rossing P, Groop P H, Singh R, Lawatscheck R, Tuttle K R. Prevalence of chronic kidney disease in type 1 diabetes among adults in the U.S. Diabetes Care. 2024;47:1395\u201399. <a href=\"https:\/\/doi.org\/10.2337\/dc24-0335\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.2337\/dc24-0335\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.2337\/dc24-0335<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR32\">Murphy D, E MC, Lin F, Banerjee T, Bragg-Gresham J L, Eberhardt M S, et al. Trends in prevalence of chronic kidney disease in the United States. Ann Intern Med. 2016;165:473\u201381. <a href=\"https:\/\/doi.org\/10.7326\/m16-0273\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.7326\/m16-0273\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.7326\/m16-0273<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR33\">Moazzeni SS, Arani RH, Hasheminia M, Tohidi M, Azizi F, Hadaegh F. High incidence of chronic kidney disease among Iranian diabetic adults: using CKD-EPI and MDRD equations for estimated glomerular filtration rate. Diabetes Metab J. 2021;45:684\u201397. <a href=\"https:\/\/doi.org\/10.4093\/dmj.2020.0109\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.4093\/dmj.2020.0109\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.4093\/dmj.2020.0109<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR34\">Bello-Chavolla O Y, Almeda-Valdes P, Gomez-Velasco D, Viveros-Ruiz T, Cruz-Bautista I, Romo-Romo A, et al. METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes. Eur J Endocrinol. 2018;178:533\u201344. <a href=\"https:\/\/doi.org\/10.1530\/eje-17-0883\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1530\/eje-17-0883\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1530\/eje-17-0883<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR35\">Jabeen WM, Jahangir B, Khilji S, Aslam A. Association of triglyceride glucose index and triglyceride HDL ratio with glucose levels, microvascular and macrovascular complications in diabetes mellitus type-2. Pak J Med Sci. 2023;39:1255\u201359. <a href=\"https:\/\/doi.org\/10.12669\/pjms.39.5.7389\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.12669\/pjms.39.5.7389\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.12669\/pjms.39.5.7389<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR36\">McLaughlin T, Reaven G, Abbasi F, Lamendola C, Saad M, Waters D, et al. Is there a simple way to identify insulin-resistant individuals at increased risk of cardiovascular disease? The Am J Cardiol. 2005;96:399\u2013404. <a href=\"https:\/\/doi.org\/10.1016\/j.amjcard.2005.03.085\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.amjcard.2005.03.085\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.amjcard.2005.03.085<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR37\">Kim J H. Multicollinearity and misleading statistical results. Korean J Anesthesiol. 2019;72:558\u201369. <a href=\"https:\/\/doi.org\/10.4097\/kja.19087\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.4097\/kja.19087\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.4097\/kja.19087<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR38\">Wang R, Lagakos S W, Ware J H, Hunter D J, Drazen J M. Statistics in medicine-reporting of subgroup analyses in clinical trials. N Engl J Med. 2007;357:2189\u201394. <a href=\"https:\/\/doi.org\/10.1056\/NEJMsr077003\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1056\/NEJMsr077003\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1056\/NEJMsr077003<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1056\/NEJMsr077003\" data-track-item_id=\"10.1056\/NEJMsr077003\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1056%2FNEJMsr077003\" aria-label=\"Article reference 38\" data-doi=\"10.1056\/NEJMsr077003\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:CAS:528:DC%2BD2sXhtlGisLnM\" aria-label=\"CAS reference 38\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=18032770\" aria-label=\"PubMed reference 38\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 38\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Statistics%20in%20medicine-reporting%20of%20subgroup%20analyses%20in%20clinical%20trials&amp;journal=N%20Engl%20J%20Med&amp;doi=10.1056%2FNEJMsr077003&amp;volume=357&amp;pages=2189-94&amp;publication_year=2007&amp;author=Wang%2CR&amp;author=Lagakos%20S%2CW&amp;author=Ware%20J%2CH&amp;author=Hunter%20D%2CJ&amp;author=Drazen%20J%2CM\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR39\">Bland JM, Altman D G. Multiple significance tests: the Bonferroni method. BMJ. 1995;310:170. <a href=\"https:\/\/doi.org\/10.1136\/bmj.310.6973.170\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1136\/bmj.310.6973.170\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1136\/bmj.310.6973.170<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1136\/bmj.310.6973.170\" data-track-item_id=\"10.1136\/bmj.310.6973.170\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1136%2Fbmj.310.6973.170\" aria-label=\"Article reference 39\" data-doi=\"10.1136\/bmj.310.6973.170\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:STN:280:DyaK2M7jsFansA%3D%3D\" aria-label=\"CAS reference 39\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=7833759\" aria-label=\"PubMed reference 39\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed central reference\" data-track-action=\"pubmed central reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC2548561\" aria-label=\"PubMed Central reference 39\" target=\"_blank\">PubMed Central<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 39\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Multiple%20significance%20tests%3A%20the%20Bonferroni%20method&amp;journal=BMJ&amp;doi=10.1136%2Fbmj.310.6973.170&amp;volume=310&amp;publication_year=1995&amp;author=Bland%2CJM&amp;author=Altman%20D%2CG\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR40\">Zhu H, Tao R, Yu Q, Yu M, Zhou Y, Fu Q. The mediating roles of obesity indicators and serum albumin in the association of DEET exposure with depression and sleep disorders in adults: evidence from NHANES 2007-2016. BMC Public Health. 2025;25:1658. <a href=\"https:\/\/doi.org\/10.1186\/s12889-025-22880-4\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1186\/s12889-025-22880-4\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s12889-025-22880-4<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"noopener nofollow\" data-track-label=\"10.1186\/s12889-025-22880-4\" data-track-item_id=\"10.1186\/s12889-025-22880-4\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/link.springer.com\/doi\/10.1186\/s12889-025-22880-4\" aria-label=\"Article reference 40\" data-doi=\"10.1186\/s12889-025-22880-4\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:CAS:528:DC%2BB2MXhtVKhur7P\" aria-label=\"CAS reference 40\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=40329240\" aria-label=\"PubMed reference 40\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed central reference\" data-track-action=\"pubmed central reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC12054269\" aria-label=\"PubMed Central reference 40\" target=\"_blank\">PubMed Central<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 40\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=The%20mediating%20roles%20of%20obesity%20indicators%20and%20serum%20albumin%20in%20the%20association%20of%20DEET%20exposure%20with%20depression%20and%20sleep%20disorders%20in%20adults%3A%20evidence%20from%20NHANES%202007-2016&amp;journal=BMC%20Public%20Health&amp;doi=10.1186%2Fs12889-025-22880-4&amp;volume=25&amp;publication_year=2025&amp;author=Zhu%2CH&amp;author=Tao%2CR&amp;author=Yu%2CQ&amp;author=Yu%2CM&amp;author=Zhou%2CY&amp;author=Fu%2CQ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR41\">Smith LH, VanderWeele T J. Mediational E-values: approximate sensitivity analysis for unmeasured mediator-outcome confounding. Epidemiology. 2019;30:835\u201337. <a href=\"https:\/\/doi.org\/10.1097\/ede.0000000000001064\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1097\/ede.0000000000001064\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1097\/ede.0000000000001064<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1097\/ede.0000000000001064\" data-track-item_id=\"10.1097\/ede.0000000000001064\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1097%2Fede.0000000000001064\" aria-label=\"Article reference 41\" data-doi=\"10.1097\/ede.0000000000001064\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=31348008\" aria-label=\"PubMed reference 41\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed central reference\" data-track-action=\"pubmed central reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC6768718\" aria-label=\"PubMed Central reference 41\" target=\"_blank\">PubMed Central<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 41\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Mediational%20E-values%3A%20approximate%20sensitivity%20analysis%20for%20unmeasured%20mediator-outcome%20confounding&amp;journal=Epidemiology&amp;doi=10.1097%2Fede.0000000000001064&amp;volume=30&amp;pages=835-37&amp;publication_year=2019&amp;author=Smith%2CLH&amp;author=VanderWeele%20T%2CJ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR42\">VanderWeele T J, Ding P. Sensitivity analysis in observational research: introducing the E-Value. Ann Intern Med. 2017;167:268\u201374. <a href=\"https:\/\/doi.org\/10.7326\/m16-2607\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.7326\/m16-2607\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.7326\/m16-2607<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.7326\/m16-2607\" data-track-item_id=\"10.7326\/m16-2607\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.7326%2Fm16-2607\" aria-label=\"Article reference 42\" data-doi=\"10.7326\/m16-2607\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=28693043\" aria-label=\"PubMed reference 42\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 42\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Sensitivity%20analysis%20in%20observational%20research%3A%20introducing%20the%20E-Value&amp;journal=Ann%20Intern%20Med&amp;doi=10.7326%2Fm16-2607&amp;volume=167&amp;pages=268-74&amp;publication_year=2017&amp;author=VanderWeele%20T%2CJ&amp;author=Ding%2CP\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR43\">Meeusen JW, Kasozi RN, Larson TS, Lieske J C. Clinical impact of the refit CKD-EPI, 2021 creatinine-based eGFR equation. Clin Chem. 2022;68:534\u201339. <a href=\"https:\/\/doi.org\/10.1093\/clinchem\/hvab282\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1093\/clinchem\/hvab282\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1093\/clinchem\/hvab282<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1093\/clinchem\/hvab282\" data-track-item_id=\"10.1093\/clinchem\/hvab282\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1093%2Fclinchem%2Fhvab282\" aria-label=\"Article reference 43\" data-doi=\"10.1093\/clinchem\/hvab282\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=35038721\" aria-label=\"PubMed reference 43\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 43\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Clinical%20impact%20of%20the%20refit%20CKD-EPI%2C%202021%20creatinine-based%20eGFR%20equation&amp;journal=Clin%20Chem&amp;doi=10.1093%2Fclinchem%2Fhvab282&amp;volume=68&amp;pages=534-39&amp;publication_year=2022&amp;author=Meeusen%2CJW&amp;author=Kasozi%2CRN&amp;author=Larson%2CTS&amp;author=Lieske%20J%2CC\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR44\">Levey AS, Coresh J, Greene T, Stevens L A, Zhang Y L, Hendriksen S, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med. 2006;145:247\u201354. <a href=\"https:\/\/doi.org\/10.7326\/0003-4819-145-4-200608150-00004\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.7326\/0003-4819-145-4-200608150-00004\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.7326\/0003-4819-145-4-200608150-00004<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.7326\/0003-4819-145-4-200608150-00004\" data-track-item_id=\"10.7326\/0003-4819-145-4-200608150-00004\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.7326%2F0003-4819-145-4-200608150-00004\" aria-label=\"Article reference 44\" data-doi=\"10.7326\/0003-4819-145-4-200608150-00004\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:CAS:528:DC%2BD28XpsFejtbo%3D\" aria-label=\"CAS reference 44\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=16908915\" aria-label=\"PubMed reference 44\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 44\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Using%20standardized%20serum%20creatinine%20values%20in%20the%20modification%20of%20diet%20in%20renal%20disease%20study%20equation%20for%20estimating%20glomerular%20filtration%20rate&amp;journal=Ann%20Intern%20Med&amp;doi=10.7326%2F0003-4819-145-4-200608150-00004&amp;volume=145&amp;pages=247-54&amp;publication_year=2006&amp;author=Levey%2CAS&amp;author=Coresh%2CJ&amp;author=Greene%2CT&amp;author=Stevens%20L%2CA&amp;author=Zhang%20Y%2CL&amp;author=Hendriksen%2CS\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR45\">Li Y, Zhu S, Li B, Shao X, Liu X, Liu A, et al. Association between non-alcoholic fatty liver disease and chronic kidney disease in population with prediabetes or diabetes. Int Urol Nephrol. 2014;46:1785\u201391. <a href=\"https:\/\/doi.org\/10.1007\/s11255-014-0796-9\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1007\/s11255-014-0796-9\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1007\/s11255-014-0796-9<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"noopener nofollow\" data-track-label=\"10.1007\/s11255-014-0796-9\" data-track-item_id=\"10.1007\/s11255-014-0796-9\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/link.springer.com\/doi\/10.1007\/s11255-014-0796-9\" aria-label=\"Article reference 45\" data-doi=\"10.1007\/s11255-014-0796-9\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:CAS:528:DC%2BC2cXht12nu7fE\" aria-label=\"CAS reference 45\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=25099524\" aria-label=\"PubMed reference 45\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 45\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Association%20between%20non-alcoholic%20fatty%20liver%20disease%20and%20chronic%20kidney%20disease%20in%20population%20with%20prediabetes%20or%20diabetes&amp;journal=Int%20Urol%20Nephrol&amp;doi=10.1007%2Fs11255-014-0796-9&amp;volume=46&amp;pages=1785-91&amp;publication_year=2014&amp;author=Li%2CY&amp;author=Zhu%2CS&amp;author=Li%2CB&amp;author=Shao%2CX&amp;author=Liu%2CX&amp;author=Liu%2CA\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR46\">Abbate M, Parvanova A, A L-G\u00c1, Ya\u00f1ez A, Bennasar-Veny M, Ram\u00edrez-Manent J, et al. MAFLD and glomerular hyperfiltration in subjects with normoglycemia, prediabetes and type 2 diabetes: a cross-sectional population study. Diabetes Metab Res Rev. 2024;40:e3810. <a href=\"https:\/\/doi.org\/10.1002\/dmrr.3810\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1002\/dmrr.3810\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1002\/dmrr.3810<\/a>.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"10.1002\/dmrr.3810\" data-track-item_id=\"10.1002\/dmrr.3810\" data-track-value=\"article reference\" data-track-action=\"article reference\" href=\"https:\/\/doi.org\/10.1002%2Fdmrr.3810\" aria-label=\"Article reference 46\" data-doi=\"10.1002\/dmrr.3810\" target=\"_blank\">Article<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"cas reference\" data-track-action=\"cas reference\" href=\"https:\/\/bmcendocrdisord.biomedcentral.com\/articles\/cas-redirect\/1:CAS:528:DC%2BB2cXhtlSktL%2FI\" aria-label=\"CAS reference 46\" target=\"_blank\">CAS<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" rel=\"nofollow noopener\" data-track-label=\"link\" data-track-item_id=\"link\" data-track-value=\"pubmed reference\" data-track-action=\"pubmed reference\" href=\"http:\/\/www.ncbi.nlm.nih.gov\/entrez\/query.fcgi?cmd=Retrieve&amp;db=PubMed&amp;dopt=Abstract&amp;list_uids=38757431\" aria-label=\"PubMed reference 46\" target=\"_blank\">PubMed<\/a>\u00a0<br \/>\n    <a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 46\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=MAFLD%20and%20glomerular%20hyperfiltration%20in%20subjects%20with%20normoglycemia%2C%20prediabetes%20and%20type%202%20diabetes%3A%20a%20cross-sectional%20population%20study&amp;journal=Diabetes%20Metab%20Res%20Rev&amp;doi=10.1002%2Fdmrr.3810&amp;volume=40&amp;publication_year=2024&amp;author=Abbate%2CM&amp;author=Parvanova%2CA&amp;author=A%2CL-G%C3%81&amp;author=Ya%C3%B1ez%20A%2C&amp;author=Bennasar-Veny%2CM&amp;author=Ram%C3%ADrez-Manent%20J%2C\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR47\">Zhu W, Liu Q, Liu F, Jiao C, Zhang L, Xie H. High remnant cholesterol as a risk factor for developing chronic kidney disease in patients with prediabetes and type 2 diabetes: a cross-sectional study of a US population. Acta Diabetol. 2024;61:735\u201343. <a href=\"https:\/\/doi.org\/10.1007\/s00592-024-02249-6\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1007\/s00592-024-02249-6\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1007\/s00592-024-02249-6<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR48\">Wang X, Zheng L, Lu F. Association between estimated glucose disposal rate and heart failure in patients with diabetes or prediabetes: a cross-sectional study. BMC Public Health. 2025;25:2711. <a href=\"https:\/\/doi.org\/10.1186\/s12889-025-24154-5\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1186\/s12889-025-24154-5\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s12889-025-24154-5<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR49\">Zabala A, Darsalia V, Lind M, Svensson A M, Franz\u00e9n S, Eliasson B, et al. Estimated glucose disposal rate and risk of stroke and mortality in type 2 diabetes: a nationwide cohort study. Cardiovasc Diabetol. 2021;20:202. <a href=\"https:\/\/doi.org\/10.1186\/s12933-021-01394-4\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1186\/s12933-021-01394-4\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s12933-021-01394-4<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR50\">Zhou H, Ru X, Chen S, Ye Q. Estimated glucose processing rates and the association of chronic kidney disease and proteinuria in non-diabetic adults. Int Urol Nephrol. 2025. <a href=\"https:\/\/doi.org\/10.1007\/s11255-025-04448-8\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1007\/s11255-025-04448-8\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1007\/s11255-025-04448-8<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR51\">Linn W, Persson M, Rathsman B, Ludvigsson J, Lind M, Andersson Franko M, et al. Estimated glucose disposal rate is associated with retinopathy and kidney disease in young people with type 1 diabetes: a nationwide observational study. Cardiovasc Diabetol. 2023;22(61). <a href=\"https:\/\/doi.org\/10.1186\/s12933-023-01791-x\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1186\/s12933-023-01791-x\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s12933-023-01791-x<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR52\">Lee BT, Ahmed FA, Hamm LL, Teran FJ, Chen CS, Liu Y, et al. Association of C-reactive protein, tumor necrosis factor-alpha, and interleukin-6 with chronic kidney disease. BMC Nephrol. 2015;16(77). <a href=\"https:\/\/doi.org\/10.1186\/s12882-015-0068-7\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1186\/s12882-015-0068-7\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s12882-015-0068-7<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR53\">Daenen K, Andries A, Mekahli D, Van Schepdael A, Jouret F, Bammens B. Oxidative stress in chronic kidney disease. Pediatr Nephrol. 2019;34:975\u201391. <a href=\"https:\/\/doi.org\/10.1007\/s00467-018-4005-4\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1007\/s00467-018-4005-4\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1007\/s00467-018-4005-4<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR54\">Arabi T, Shafqat A, Sabbah B N, Fawzy N A, Shah H, Abdulkader H, et al. Obesity-related kidney disease: beyond hypertension and insulin-resistance. Front Endocrinol (lausanne). 2022;13:1095211. <a href=\"https:\/\/doi.org\/10.3389\/fendo.2022.1095211\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.3389\/fendo.2022.1095211\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.3389\/fendo.2022.1095211<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR55\">Wheeler DC, Stefansson BV, Batiushin M, Bilchenko O, Cherney D Z I, Chertow G M, et al. The dapagliflozin and prevention of adverse outcomes in chronic kidney disease (DAPA-CKD) trial: baseline characteristics. Nephrol Dial Transpl. 2020;35:1700\u201311. <a href=\"https:\/\/doi.org\/10.1093\/ndt\/gfaa234\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1093\/ndt\/gfaa234\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1093\/ndt\/gfaa234<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR56\">Gado M, Tsaousidou E, Bornstein S R, Perakakis N. Sex-based differences in insulin resistance. J Endocrinol. 2024;261. <a href=\"https:\/\/doi.org\/10.1530\/joe-23-0245\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1530\/joe-23-0245\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1530\/joe-23-0245<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR57\">VanHook A M. Estrogen-powered kidney protection. Sci Signal. 2025;18:eaeb6175. <a href=\"https:\/\/doi.org\/10.1126\/scisignal.aeb6175\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1126\/scisignal.aeb6175\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1126\/scisignal.aeb6175<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR58\">De Paoli M, Zakharia A, Werstuck G H. The role of estrogen in insulin resistance: a review of clinical and preclinical data. Am J Pathol. 2021;191:1490\u201398. <a href=\"https:\/\/doi.org\/10.1016\/j.ajpath.2021.05.011\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.ajpath.2021.05.011\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.ajpath.2021.05.011<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR59\">White UA, Tchoukalova Y D. Sex dimorphism and depot differences in adipose tissue function. Biochim Biophys Acta. 1842 (2014;377\u201392. <a href=\"https:\/\/doi.org\/10.1016\/j.bbadis.2013.05.006\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.bbadis.2013.05.006\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.bbadis.2013.05.006<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR60\">Camilleri G, Kiani A K, Herbst K L, Kaftalli J, Bernini A, Dhuli K, et al. Genetics of fat deposition. Eur Rev Med Pharmacol Sci. 2021;25:14\u201322. <a href=\"https:\/\/doi.org\/10.26355\/eurrev_202112_27329\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.26355\/eurrev_202112_27329\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.26355\/eurrev_202112_27329<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR61\">Toyoki D, Shibata S, Kuribayashi-Okuma E, Xu N, Ishizawa K, Hosoyamada M, et al. Insulin stimulates uric acid reabsorption via regulating urate transporter 1 and ATP-binding cassette subfamily G member 2. Am J Physiol Renal Physiol. 2017;313:F826\u2013f834. <a href=\"https:\/\/doi.org\/10.1152\/ajprenal.00012.2017\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1152\/ajprenal.00012.2017\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1152\/ajprenal.00012.2017<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR62\">Han T, Lan L, Qu R, Xu Q, Jiang R, Na L, et al. Temporal relationship between hyperuricemia and insulin resistance and its impact on future risk of hypertension. Hypertension. 2017;70:703\u201311. <a href=\"https:\/\/doi.org\/10.1161\/hypertensionaha.117.09508\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1161\/hypertensionaha.117.09508\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1161\/hypertensionaha.117.09508<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR63\">Zhu Y, Hu Y, Huang T, Zhang Y, Li Z, Luo C, et al. High uric acid directly inhibits insulin signalling and induces insulin resistance. Biochem Biophys Res Commun. 2014;447:707\u201314. <a href=\"https:\/\/doi.org\/10.1016\/j.bbrc.2014.04.080\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.bbrc.2014.04.080\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.bbrc.2014.04.080<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR64\">Graham TE, Yang Q, Bl\u00fcher, Hammarstedt A, Ciaraldi T P, Henry R R, et al. Retinol-binding protein 4 and insulin resistance in lean, obese, and diabetic subjects. N Engl J Med. 2006;354:2552\u201363. <a href=\"https:\/\/doi.org\/10.1056\/NEJMoa054862\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1056\/NEJMoa054862\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1056\/NEJMoa054862<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR65\">Yamagishi S. Role of advanced glycation end products (AGEs) and receptor for AGEs (RAGE) in vascular damage in diabetes. Exp Gerontol. 2011;46:217\u201324. <a href=\"https:\/\/doi.org\/10.1016\/j.exger.2010.11.007\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.exger.2010.11.007\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.exger.2010.11.007<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR66\">Hall JE, Carmo J M D, da Silva A A, Wang Z, Hall M E. Obesity, kidney dysfunction and hypertension: mechanistic links. Nat Rev Nephrol. 2019;15:367\u201385. <a href=\"https:\/\/doi.org\/10.1038\/s41581-019-0145-4\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1038\/s41581-019-0145-4\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1038\/s41581-019-0145-4<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR67\">Son DH, Lee HS, Lee YJ, Lee JH, Han J H. Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome. Nutr Metab Cardiovasc Dis. 2022;32:596\u2013604. <a href=\"https:\/\/doi.org\/10.1016\/j.numecd.2021.11.017\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1016\/j.numecd.2021.11.017\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.numecd.2021.11.017<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR68\">Wei X, Min Y, Song G, Ye X, Liu L. Association between triglyceride-glucose related indices with the all-cause and cause-specific mortality among the population with metabolic syndrome. Cardiovasc Diabetol. 2024;23:134. <a href=\"https:\/\/doi.org\/10.1186\/s12933-024-02215-0\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1186\/s12933-024-02215-0\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s12933-024-02215-0<\/a>.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR69\">Song S, Cai X, Shen D, Hu J, Zhu Q, Ma H, et al. Relationship between cumulative exposure and Time course of plasma aldosterone concentrations and chronic kidney disease in hypertensive patients: a real-world cohort study. Am J Nephrol. 2025;1\u201316. <a href=\"https:\/\/doi.org\/10.1159\/000545451\" data-track=\"click_references\" data-track-action=\"external reference\" data-track-value=\"external reference\" data-track-label=\"10.1159\/000545451\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/doi.org\/10.1159\/000545451<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan B B, et al. IDF diabetes atlas:&hellip;\n","protected":false},"author":2,"featured_media":136826,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[68054,4764,1702,1701,79173,103,61,9397,60,79175,4732,79174],"class_list":["post-136825","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health","tag-andrology","tag-chronic-kidney-disease","tag-diabetes","tag-endocrinology","tag-estimated-glucose-disposal-rate","tag-health","tag-ie","tag-insulin-resistance","tag-ireland","tag-mediating-effect","tag-metabolic-diseases","tag-serum-uric-acid"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/136825","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/comments?post=136825"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/136825\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media\/136826"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media?parent=136825"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/categories?post=136825"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/tags?post=136825"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}