{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T05:54:09Z","timestamp":1790488449484,"version":"4.1.0"},"reference-count":49,"publisher":"American Diabetes Association","issue":"3","license":[{"start":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T00:00:00Z","timestamp":1734912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.diabetesjournals.org\/journals\/pages\/license"}],"funder":[{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e2det","doi-asserted-by":"publisher","award":["2015-02523"],"award-info":[{"award-number":["2015-02523"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e2det","doi-asserted-by":"publisher","award":["2018-02567"],"award-info":[{"award-number":["2018-02567"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e2det","doi-asserted-by":"publisher","award":["2018-02837"],"award-info":[{"award-number":["2018-02837"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e2det","doi-asserted-by":"publisher","award":["2019-01260"],"award-info":[{"award-number":["2019-01260"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e2det","doi-asserted-by":"publisher","award":["2020-02191"],"award-info":[{"award-number":["2020-02191"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004359","name":"Vetenskapsr\u00e2det","doi-asserted-by":"publisher","award":["2021-00628"],"award-info":[{"award-number":["2021-00628"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100022690","name":"JDRF","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100022690","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Swedish Foundation for Strategic Research","award":["IRC15-0067"],"award-info":[{"award-number":["IRC15-0067"]}]},{"name":"Faculty of Medicine at Lund University"},{"name":"Swedish Diabetes Foundation"},{"name":"Innovative Medicines Initiative 2 Joint Undertaking","award":["115974"],"award-info":[{"award-number":["115974"]}]},{"name":"Sk\u00e2ne University Hospital"},{"name":"H2020-Marie-Curie grant","award":["706081"],"award-info":[{"award-number":["706081"]}]},{"DOI":"10.13039\/501100004359","name":"Swedish Research Council","doi-asserted-by":"crossref","award":["2015-02523"],"award-info":[{"award-number":["2015-02523"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004359","name":"Swedish Research Council","doi-asserted-by":"crossref","award":["2018-02567"],"award-info":[{"award-number":["2018-02567"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004359","name":"Swedish Research Council","doi-asserted-by":"crossref","award":["2019-01260"],"award-info":[{"award-number":["2019-01260"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004359","name":"Swedish Research Council","doi-asserted-by":"crossref","award":["2020-02191"],"award-info":[{"award-number":["2020-02191"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004359","name":"Swedish Research Council","doi-asserted-by":"crossref","award":["2021-00628"],"award-info":[{"award-number":["2021-00628"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Fondo Gianesini Emma"},{"name":"European Union\u2019s Research and Innovation programme","award":["101095146"],"award-info":[{"award-number":["101095146"]}]},{"name":"Juan de la Cierva-Incorporaci\u00f2n","award":["IJC2019-040796-I"],"award-info":[{"award-number":["IJC2019-040796-I"]}]},{"DOI":"10.13039\/501100004191","name":"Novo Nordisk","doi-asserted-by":"publisher","award":["NNF19OC0057415"],"award-info":[{"award-number":["NNF19OC0057415"]}],"id":[{"id":"10.13039\/501100004191","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004191","name":"Novo Nordisk","doi-asserted-by":"publisher","award":["NNF21OC0070457"],"award-info":[{"award-number":["NNF21OC0070457"]}],"id":[{"id":"10.13039\/501100004191","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Swedish governmental funding of clinical research\/Region Sk\u00e5ne"},{"DOI":"10.13039\/501100003793","name":"Hj\u00e4rt-Lungfonden","doi-asserted-by":"publisher","award":["20160602"],"award-info":[{"award-number":["20160602"]}],"id":[{"id":"10.13039\/501100003793","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003793","name":"Hj\u00e4rt-Lungfonden","doi-asserted-by":"publisher","award":["20190470"],"award-info":[{"award-number":["20190470"]}],"id":[{"id":"10.13039\/501100003793","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003793","name":"Hj\u00e4rt-Lungfonden","doi-asserted-by":"publisher","award":["20220606"],"award-info":[{"award-number":["20220606"]}],"id":[{"id":"10.13039\/501100003793","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Strategic Research","award":["2009-1039"],"award-info":[{"award-number":["2009-1039"]}]},{"DOI":"10.13039\/501100001858","name":"VINNOVA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100013322","name":"EFPIA","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100013322","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["diabetesjournals.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,3,1]]},"abstract":"<jats:sec>\n                    <jats:title\/>\n                    <jats:p>There is an increasing need for new biomarkers to improve prediction of chronic kidney disease (CKD) in individuals with type 2 diabetes (T2D). We aimed to identify blood-based epigenetic biomarkers associated with incident CKD and develop a methylation risk score (MRS) predicting CKD in individuals with newly diagnosed T2D. DNA methylation was analyzed epigenome wide in blood from 487 individuals with newly diagnosed T2D, of whom 88 developed CKD during an 11.5-year follow-up. Weighted Cox regression was used to associate methylation with incident CKD. Weighted logistic models and cross-validation (k = 5) were performed to test whether the MRS could predict CKD. Methylation at 37 sites was associated with CKD development based on a false discovery rate of &amp;lt;5% and absolute methylation differences of \u22655% between individuals with incident CKD and those free of CKD during follow-up. Notably, 15 genes annotated to these sites, e.g., TGFBI, SHISA3, and SLC43A2 (encoding LAT4), have been linked to CKD or related risk factors, including blood pressure, BMI, and estimated glomerular filtration rate. Using an MRS including 37 sites and cross-validation for prediction of CKD, we generated receiver operating characteristic (ROC) curves with an area under the curve (AUC) of 0.82 for the MRS and AUC of 0.87 for the combination of MRS and clinical factors. Importantly, ROC curves including the MRS had significantly better AUCs versus the one only including clinical factors (AUC = 0.72). The combined epigenetic biomarker had high accuracy in identifying individuals free of future CKD (negative predictive value of 94.6%). We discovered a high-performance epigenetic biomarker for predicting CKD, encouraging its potential role in precision medicine, risk stratification, and targeted prevention in T2D.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Article Highlights<\/jats:title>\n                    <jats:p>There is an increasing need for new biomarkers to improve the prediction and prevention of chronic kidney disease (CKD) in individuals with type 2 diabetes (T2D), a leading cause of morbidity and mortality in this population. We investigated whether new blood-based epigenetic biomarkers predict incident CKD in individuals with newly diagnosed T2D. We discovered a novel blood-based epigenetic biomarker, composed of a combination of a methylation risk score and clinical factors, capable of predicting CKD during an 11.5-year follow-up (area under the curve of 0.87, negative predictive value of 94.6%) in individuals with newly diagnosed T2D. The epigenetic biomarker could provide a valuable tool for early risk stratification and prevention of CKD in individuals with newly diagnosed T2D, supporting its future use for precision medicine.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2337\/db24-0483","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T17:44:17Z","timestamp":1734975857000},"page":"439-450","update-policy":"https:\/\/doi.org\/10.2337\/ada-journal-policies","source":"Crossref","is-referenced-by-count":15,"title":["Blood-Based Epigenetic Biomarkers Associated With Incident Chronic Kidney Disease in Individuals With Type 2 Diabetes"],"prefix":"10.2337","volume":"74","author":[{"given":"Marian","family":"Marchiori","sequence":"first","affiliation":[{"name":"1Epigenetics and Diabetes Unit, Department of Clinical Sciences Malm\u00f6, Lund University Diabetes Centre, Sk\u00e5ne University Hospital, Malm\u00f6, Sweden"},{"name":"2Active Living Unit, Department of Sports Science and Clinical Biomechanics, Faculty of Health, University of Southern Denmark, Odense, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8921-2012","authenticated-orcid":false,"given":"Alice","family":"Maguolo","sequence":"additional","affiliation":[{"name":"1Epigenetics and Diabetes Unit, Department of Clinical Sciences Malm\u00f6, Lund University Diabetes Centre, Sk\u00e5ne University Hospital, Malm\u00f6, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Perfilyev","sequence":"additional","affiliation":[{"name":"1Epigenetics and Diabetes Unit, Department of Clinical Sciences Malm\u00f6, Lund University Diabetes Centre, Sk\u00e5ne University Hospital, Malm\u00f6, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marlena","family":"Maziarz","sequence":"additional","affiliation":[{"name":"3Bioinformatics Unit, Department of Clinical Sciences Malm\u00f6, Lund University Diabetes Centre, Malm\u00f6, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mats","family":"Martinell","sequence":"additional","affiliation":[{"name":"4Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria F.","family":"Gomez","sequence":"additional","affiliation":[{"name":"5Diabetic Complications Unit, Department of Clinical Sciences, Lund University Diabetes Centre, Malm\u00f6, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emma","family":"Ahlqvist","sequence":"additional","affiliation":[{"name":"6Genetics and Diabetes Unit, Department of Clinical Sciences Malm\u00f6, Lund University Diabetes Centre, Sk\u00e5ne University Hospital, Malm\u00f6, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1249-4795","authenticated-orcid":false,"given":"Sonia","family":"Garc\u00eda-Calz\u00f3n","sequence":"additional","affiliation":[{"name":"1Epigenetics and Diabetes Unit, Department of Clinical Sciences Malm\u00f6, Lund University Diabetes Centre, Sk\u00e5ne University Hospital, Malm\u00f6, Sweden"},{"name":"7Department of Food Sciences and Physiology, Centre for Nutrition Research, University of Navarra and Navarra Institute for Health Research (IdISNA), Pamplona, Spain"},{"name":"8Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Fisiopatolog\u00eda de la Obesidad y Nutrici\u00f3n (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0587-7154","authenticated-orcid":false,"given":"Charlotte","family":"Ling","sequence":"additional","affiliation":[{"name":"1Epigenetics and Diabetes Unit, Department of Clinical Sciences Malm\u00f6, Lund University Diabetes Centre, Sk\u00e5ne University Hospital, Malm\u00f6, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1167","published-online":{"date-parts":[[2024,12,23]]},"reference":[{"key":"2025022019523340900_B1","doi-asserted-by":"crossref","first-page":"1294","DOI":"10.1001\/jama.2019.14745","article-title":"Chronic kidney disease diagnosis and management: a review","volume":"322","author":"Chen","year":"2019","journal-title":"JAMA"},{"key":"2025022019523340900_B2","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1111\/jdi.12533","article-title":"Clinical predictive factors in diabetic kidney disease progression","volume":"8","author":"Radcliffe","year":"2017","journal-title":"J Diabetes Investig"},{"key":"2025022019523340900_B3","doi-asserted-by":"crossref","first-page":"2052","DOI":"10.1016\/S0140-6736(18)31694-5","article-title":"Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016-40 for 195 countries and territories","volume":"392","author":"Foreman","year":"2018","journal-title":"Lancet"},{"key":"2025022019523340900_B4","doi-asserted-by":"crossref","first-page":"S117","DOI":"10.1016\/j.kint.2023.10.018","article-title":"KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease","volume":"105","author":"Stevens","year":"2024","journal-title":"Kidney Int"},{"key":"2025022019523340900_B5","doi-asserted-by":"crossref","first-page":"1995","DOI":"10.1093\/ije\/dyab203","article-title":"Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease","volume":"50","author":"Zheng","year":"2022","journal-title":"Int J Epidemiol"},{"key":"2025022019523340900_B6","doi-asserted-by":"crossref","first-page":"3075","DOI":"10.2337\/dci22-0027","article-title":"Diabetes management in chronic kidney disease: a consensus report by the American Diabetes Association (ADA) and Kidney Disease: Improving Global Outcomes (KDIGO)","volume":"45","author":"de Boer","year":"2022","journal-title":"Diabetes Care"},{"key":"2025022019523340900_B7","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1159\/000447954","article-title":"Metabolomics in diabetic kidney disease: unraveling the biochemistry of a silent killer","volume":"44","author":"Darshi","year":"2016","journal-title":"Am J Nephrol"},{"key":"2025022019523340900_B8","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1186\/s12933-023-01808-5","article-title":"Different roles of protein biomarkers predicting eGFR trajectories in people with chronic kidney disease and diabetes mellitus: a nationwide retrospective cohort study","volume":"22","author":"Kammer","year":"2023","journal-title":"Cardiovasc Diabetol"},{"key":"2025022019523340900_B9","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1038\/ki.2015.199","article-title":"Biomarkers of rapid chronic kidney disease progression in type 2 diabetes","volume":"88","author":"Looker","year":"2015","journal-title":"Kidney Int"},{"key":"2025022019523340900_B10","doi-asserted-by":"crossref","first-page":"1947","DOI":"10.2337\/dc18-0532","article-title":"Validation of plasma biomarker candidates for the prediction of eGFR decline in patients with type 2 diabetes","volume":"41","author":"Heinzel","year":"2018","journal-title":"Diabetes Care"},{"key":"2025022019523340900_B11","doi-asserted-by":"crossref","first-page":"391","DOI":"10.2337\/dc16-2202","article-title":"Systems biology\u2013derived biomarkers to predict progression of renal function decline in type 2 diabetes","volume":"40","author":"Mayer","year":"2017","journal-title":"Diabetes Care"},{"key":"2025022019523340900_B12","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1038\/s41574-022-00671-w","article-title":"Epigenetics of type 2 diabetes mellitus and weight change - a tool for precision medicine?","volume":"18","author":"Ling","year":"2022","journal-title":"Nat Rev Endocrinol"},{"key":"2025022019523340900_B13","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1080\/15592294.2016.1178418","article-title":"DNA methylation of loci within ABCG1 and PHOSPHO1 in blood DNA is associated with future type 2 diabetes risk","volume":"11","author":"Dayeh","year":"2016","journal-title":"Epigenetics"},{"key":"2025022019523340900_B14","doi-asserted-by":"crossref","first-page":"eaaz1803","DOI":"10.1126\/scitranslmed.aaz1803","article-title":"Epigenetic markers associated with metformin response and intolerance in drug-na\u00efve patients with type 2 diabetes","volume":"12","author":"Garc\u00eda-Calz\u00f3n","year":"2020","journal-title":"Sci Transl Med"},{"key":"2025022019523340900_B15","doi-asserted-by":"crossref","first-page":"1621","DOI":"10.2337\/dc21-2489","article-title":"Novel subgroups of type 2 diabetes display different epigenetic patterns that associate with future diabetic complications","volume":"45","author":"Schrader","year":"2022","journal-title":"Diabetes Care"},{"key":"2025022019523340900_B16","doi-asserted-by":"crossref","first-page":"7891","DOI":"10.1038\/s41467-022-34963-6","article-title":"Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease","volume":"13","author":"Smyth","year":"2022","journal-title":"Nat Commun"},{"key":"2025022019523340900_B17","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1038\/s41467-024-45295-y","article-title":"Unraveling the epigenetic code: human kidney DNA methylation and chromatin dynamics in renal disease development","volume":"15","author":"Yan","year":"2024","journal-title":"Nat Commun"},{"key":"2025022019523340900_B18","doi-asserted-by":"crossref","first-page":"575","DOI":"10.2217\/epi.10.35","article-title":"From discovery to the clinic: the novel DNA methylation biomarker (m)SEPT9 for the detection of colorectal cancer in blood","volume":"2","author":"Payne","year":"2010","journal-title":"Epigenomics"},{"key":"2025022019523340900_B19","doi-asserted-by":"crossref","first-page":"821","DOI":"10.3390\/genes5030821","article-title":"DNA methylation biomarkers: cancer and beyond","volume":"5","author":"Mikeska","year":"2014","journal-title":"Genes (Basel)"},{"key":"2025022019523340900_B20","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1038\/s41467-017-01297-7","article-title":"Epigenome-wide association studies identify DNA methylation associated with kidney function","volume":"8","author":"Chu","year":"2017","journal-title":"Nat Commun"},{"key":"2025022019523340900_B21","doi-asserted-by":"crossref","first-page":"7174","DOI":"10.1038\/s41467-021-27234-3","article-title":"Meta-analyses identify DNA methylation associated with kidney function and damage","volume":"12","author":"Schlosser","year":"2021","journal-title":"Nat Commun"},{"key":"2025022019523340900_B22","doi-asserted-by":"crossref","first-page":"17757","DOI":"10.1038\/s41598-024-68470-z","article-title":"A methylation risk score for chronic kidney disease: a HyperGEN study","volume":"14","author":"Jones","year":"2024","journal-title":"Sci Rep"},{"key":"2025022019523340900_B23","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1186\/1755-8794-3-33","article-title":"Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus","volume":"3","author":"Bell","year":"2010","journal-title":"BMC Med Genomics"},{"key":"2025022019523340900_B24","doi-asserted-by":"crossref","first-page":"e160959","DOI":"10.1172\/JCI160959","article-title":"Reduced methylation correlates with diabetic nephropathy risk in type 1 diabetes","volume":"133","author":"Khurana","year":"2023","journal-title":"J Clin Invest"},{"key":"2025022019523340900_B25","doi-asserted-by":"crossref","first-page":"2027","DOI":"10.1093\/ndt\/gfaa226","article-title":"DNA methylation profiling identifies epigenetic differences between early versus late stages of diabetic chronic kidney disease","volume":"36","author":"Lecamwasam","year":"2021","journal-title":"Nephrol Dial Transplant"},{"key":"2025022019523340900_B26","doi-asserted-by":"crossref","first-page":"20","DOI":"10.4161\/epi.6.1.13362","article-title":"DNA methylation profiling identifies epigenetic differences between diabetes patients with ESRD and diabetes patients without nephropathy","volume":"6","author":"Sapienza","year":"2011","journal-title":"Epigenetics"},{"key":"2025022019523340900_B27","doi-asserted-by":"crossref","first-page":"8175","DOI":"10.1038\/s41598-023-35485-x","article-title":"Epigenome-wide association study of diabetic chronic kidney disease progression in the Korean population: the KNOW-CKD study","volume":"13","author":"Sung","year":"2023","journal-title":"Sci Rep"},{"key":"2025022019523340900_B28","doi-asserted-by":"crossref","first-page":"2543","DOI":"10.1038\/s41467-023-37837-7","article-title":"DNA methylation markers for kidney function and progression of diabetic kidney disease","volume":"14","author":"Li","year":"2023","journal-title":"Nat Commun"},{"key":"2025022019523340900_B29","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/S2213-8587(18)30051-2","article-title":"Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables","volume":"6","author":"Ahlqvist","year":"2018","journal-title":"Lancet Diabetes Endocrinol"},{"key":"2025022019523340900_B30","doi-asserted-by":"crossref","first-page":"10023","DOI":"10.1038\/ncomms10023","article-title":"Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function","volume":"7","author":"Pattaro","year":"2016","journal-title":"Nat Commun"},{"key":"2025022019523340900_B31","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.2337\/db17-0914","article-title":"A genome-wide association study of diabetic kidney disease in subjects with type 2 diabetes","volume":"67","author":"van Zuydam","year":"2018","journal-title":"Diabetes"},{"key":"2025022019523340900_B32","doi-asserted-by":"crossref","first-page":"247","DOI":"10.7326\/0003-4819-145-4-200608150-00004","article-title":"Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate","volume":"145","author":"Levey","year":"2006","journal-title":"Ann Intern Med"},{"key":"2025022019523340900_B33","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1186\/s13059-018-1448-7","article-title":"An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray","volume":"19","author":"Salas","year":"2018","journal-title":"Genome Biol"},{"key":"2025022019523340900_B34","doi-asserted-by":"crossref","first-page":"21627","DOI":"10.1038\/s41598-021-01088-7","article-title":"The relationship of smoking to cg05575921 methylation in blood and saliva DNA samples from several studies","volume":"11","author":"Dawes","year":"2021","journal-title":"Sci Rep"},{"key":"2025022019523340900_B35","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1093\/bib\/bbt054","article-title":"A comprehensive overview of Infinium HumanMethylation450 data processing","volume":"15","author":"Dedeurwaerder","year":"2014","journal-title":"Brief Bioinform"},{"key":"2025022019523340900_B36","doi-asserted-by":"crossref","first-page":"e0259836","DOI":"10.1371\/journal.pone.0259836","article-title":"A 6-CpG validated methylation risk score model for metabolic syndrome: the HyperGEN and GOLDN studies","volume":"16","author":"Hidalgo","year":"2021","journal-title":"PLoS One"},{"key":"2025022019523340900_B37","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1038\/nature20784","article-title":"Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity","volume":"541","author":"Wahl","year":"2017","journal-title":"Nature"},{"key":"2025022019523340900_B38","doi-asserted-by":"crossref","first-page":"5109","DOI":"10.1113\/JP280234","article-title":"Tissue-specific deletion of mouse basolateral uniporter LAT4 (Slc43a2) reveals its crucial role in small intestine and kidney amino acid transport","volume":"598","author":"Rajendran","year":"2020","journal-title":"J Physiol"},{"key":"2025022019523340900_B39","doi-asserted-by":"crossref","first-page":"E30","DOI":"10.5888\/pcd20.220380","article-title":"Risk prediction score for chronic kidney disease in healthy adults and adults with type 2 diabetes: systematic review","volume":"20","author":"Gonz\u00e1lez-Rocha","year":"2023","journal-title":"Prev Chronic Dis"},{"key":"2025022019523340900_B40","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1007\/s40620-020-00803-3","article-title":"Blood pressure reduction and RAAS inhibition in diabetic kidney disease: therapeutic potentials and limitations","volume":"33","author":"Leoncini","year":"2020","journal-title":"J Nephrol"},{"key":"2025022019523340900_B41","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1038\/s41588-022-01097-w","article-title":"Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease","volume":"54","author":"Liu","year":"2022","journal-title":"Nat Genet"},{"key":"2025022019523340900_B42","doi-asserted-by":"crossref","first-page":"106646","DOI":"10.1016\/j.isci.2023.106646","article-title":"Dynamic cellular changes in acute kidney injury caused by different ischemia time","volume":"26","author":"Shan","year":"2023","journal-title":"iScience"},{"key":"2025022019523340900_B43","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1046\/j.1523-1755.2003.00158.x","article-title":"Expression of TGF-beta-induced matrix protein betaig-h3 is up-regulated in the diabetic rat kidney and human proximal tubular epithelial cells treated with high glucose","volume":"64","author":"Lee","year":"2003","journal-title":"Kidney Int"},{"key":"2025022019523340900_B44","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1093\/ndt\/gft537","article-title":"DNA methylation profile associated with rapid decline in kidney function: findings from the CRIC Study","volume":"29","author":"Wing","year":"2014","journal-title":"Nephrol Dial Transplant"},{"key":"2025022019523340900_B45","doi-asserted-by":"crossref","first-page":"8040","DOI":"10.1038\/s41467-023-43719-9","article-title":"Genes with epigenetic alterations in human pancreatic islets impact mitochondrial function, insulin secretion, and type 2 diabetes","volume":"14","author":"R\u00f6nn","year":"2023","journal-title":"Nat Commun"},{"key":"2025022019523340900_B46","doi-asserted-by":"crossref","first-page":"110807","DOI":"10.1016\/j.diabres.2023.110807","article-title":"DNA methylation partially mediates antidiabetic effects of metformin on HbA1c levels in individuals with type 2 diabetes","volume":"202","author":"Garc\u00eda-Calz\u00f3n","year":"2023","journal-title":"Diabetes Res Clin Pract"},{"key":"2025022019523340900_B47","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1186\/s13073-021-00877-z","article-title":"Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci","volume":"13","author":"Breeze","year":"2021","journal-title":"Genome Med"},{"key":"2025022019523340900_B48","doi-asserted-by":"crossref","first-page":"825","DOI":"10.7326\/0003-4819-158-11-201306040-00007","article-title":"Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline","volume":"158","author":"Stevens","year":"2013","journal-title":"Ann Intern Med"},{"key":"2025022019523340900_B49","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1109\/TPAMI.2009.187","article-title":"Sensitivity analysis of kappa-fold cross validation in prediction error estimation","volume":"32","author":"Rodr\u00edguez","year":"2010","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Diabetes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/diabetesjournals.org\/diabetes\/article-pdf\/doi\/10.2337\/db24-0483\/793776\/db240483.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/diabetesjournals.org\/diabetes\/article-pdf\/doi\/10.2337\/db24-0483\/793776\/db240483.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T14:53:10Z","timestamp":1740063190000},"score":1,"resource":{"primary":{"URL":"https:\/\/diabetesjournals.org\/diabetes\/article\/74\/3\/439\/157641\/Blood-Based-Epigenetic-Biomarkers-Associated-With"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,23]]},"references-count":49,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,12,23]]},"published-print":{"date-parts":[[2025,3,1]]}},"URL":"https:\/\/doi.org\/10.2337\/db24-0483","relation":{},"ISSN":["0012-1797","1939-327X"],"issn-type":[{"value":"0012-1797","type":"print"},{"value":"1939-327X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,23]]}}}