{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T22:21:33Z","timestamp":1787869293833,"version":"build-2784847793"},"reference-count":58,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2018GXNSFDA050019"],"award-info":[{"award-number":["2018GXNSFDA050019"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2025GXNSFDA069012"],"award-info":[{"award-number":["2025GXNSFDA069012"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82060593"],"award-info":[{"award-number":["82060593"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82273618"],"award-info":[{"award-number":["82273618"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Trace Elements in Medicine and Biology"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.jtemb.2026.127867","type":"journal-article","created":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:03:40Z","timestamp":1774368220000},"page":"127867","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Association of dietary intake of copper and zinc with systemic inflammation: A cross-sectional study integrating machine learning"],"prefix":"10.1016","volume":"95","author":[{"given":"Xuefei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqing","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huan","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueran","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongfen","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuangzhuang","family":"An","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zouyan","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiying","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3846-9301","authenticated-orcid":false,"given":"Rui","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"7203","key":"10.1016\/j.jtemb.2026.127867_bib1","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1038\/nature07201","article-title":"Origin and physiological roles of inflammation","volume":"454","author":"Medzhitov","year":"2008","journal-title":"Nature"},{"issue":"8","key":"10.1016\/j.jtemb.2026.127867_bib2","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1016\/j.jacc.2021.12.017","article-title":"Inflammation, Aging, and Cardiovascular Disease","volume":"79","author":"Liberale","year":"2022","journal-title":"J. Am. Coll. Cardiol."},{"issue":"6917","key":"10.1016\/j.jtemb.2026.127867_bib3","doi-asserted-by":"crossref","first-page":"860","DOI":"10.1038\/nature01322","article-title":"Inflammation and cancer","volume":"420","author":"Coussens","year":"2002","journal-title":"Nature"},{"issue":"2","key":"10.1016\/j.jtemb.2026.127867_bib4","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.pharmthera.2013.09.004","article-title":"Targeting interleukin-6 in inflammatory autoimmune diseases and cancers","volume":"141","author":"Yao","year":"2014","journal-title":"Pharmacol. & Ther."},{"key":"10.1016\/j.jtemb.2026.127867_bib5","doi-asserted-by":"crossref","DOI":"10.1016\/j.redox.2023.102910","article-title":"Associations of essential trace elements with epigenetic aging indicators and the potential mediating role of inflammation","volume":"67","author":"Cheng","year":"2023","journal-title":"Redox Biol."},{"issue":"3","key":"10.1016\/j.jtemb.2026.127867_bib6","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1053\/j.gastro.2022.05.037","article-title":"Mediterranean-Like Dietary Pattern Associations With Gut Microbiome Composition and Subclinical Gastrointestinal Inflammation","volume":"163","author":"Turpin","year":"2022","journal-title":"Gastroenterology"},{"issue":"1","key":"10.1016\/j.jtemb.2026.127867_bib7","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1093\/ajcn\/82.1.163","article-title":"Diet-quality scores and plasma concentrations of markers of inflammation and endothelial dysfunction","volume":"82","author":"Fung","year":"2005","journal-title":"Am. J. Clin. Nutr."},{"key":"10.1016\/j.jtemb.2026.127867_bib8","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.2147\/CIA.S339221","article-title":"The Predictive Role of Systemic Inflammation Response Index (SIRI) in the Prognosis of Stroke Patients","volume":"16","author":"Zhang","year":"2021","journal-title":"Clin. Inter. Aging"},{"key":"10.1016\/j.jtemb.2026.127867_bib9","doi-asserted-by":"crossref","first-page":"539","DOI":"10.2147\/JIR.S395331","article-title":"Clinical significance and diagnostic utility of NLR, LMR, PLR and SII in the course of COVID-19: a literature review","author":"Kosid\u0142o","year":"2023","journal-title":"J. Inflamm. Res."},{"issue":"5","key":"10.1016\/j.jtemb.2026.127867_bib10","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.jinf.2019.02.006","article-title":"The utility of peripheral blood leucocyte ratios as biomarkers in infectious diseases: A systematic review and meta-analysis","volume":"78","author":"Russell","year":"2019","journal-title":"J. Infect."},{"key":"10.1016\/j.jtemb.2026.127867_bib11","article-title":"Association between systemic immune inflammation index, systemic inflammation response index and adult psoriasis: evidence from NHANES","volume":"15","author":"Ma","year":"2024","journal-title":"Front. Immunol."},{"key":"10.1016\/j.jtemb.2026.127867_bib12","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2024.1482746","article-title":"Prognostic value of inflammatory markers NLR, PLR, LMR, dNLR, ANC in melanoma patients treated with immune checkpoint inhibitors: a meta-analysis and systematic review","volume":"15","author":"Ou","year":"2024","journal-title":"Front. Immunol."},{"key":"10.1016\/j.jtemb.2026.127867_bib13","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2024.1408700","article-title":"Prognostic value of inflammatory markers NLR, PLR, and LMR in gastric cancer patients treated with immune checkpoint inhibitors: a meta-analysis and systematic review","volume":"15","author":"Tan","year":"2024","journal-title":"Front. Immunol."},{"key":"10.1016\/j.jtemb.2026.127867_bib14","doi-asserted-by":"crossref","first-page":"69","DOI":"10.2147\/JIR.S391932","article-title":"Fashionable, but what is their real clinical usefulness? NLR, LMR, and PLR as a promising indicator in colorectal cancer prognosis: A systematic review","author":"Misiewicz","year":"2023","journal-title":"J. Inflamm. Res."},{"key":"10.1016\/j.jtemb.2026.127867_bib15","article-title":"Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease risk","volume":"15","author":"Liu","year":"2024","journal-title":"Front. Immunol."},{"issue":"17","key":"10.1016\/j.jtemb.2026.127867_bib16","doi-asserted-by":"crossref","first-page":"9553","DOI":"10.3390\/ijms23179553","article-title":"Investigation of the associations of novel inflammatory biomarkers\u2014Systemic Inflammatory Index (SII) and Systemic Inflammatory Response Index (SIRI)\u2014With the severity of coronary artery disease and acute coronary syndrome occurrence","volume":"23","author":"Dziedzic","year":"2022","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.jtemb.2026.127867_bib17","article-title":"Associations between SII, SIRI, and cardiovascular disease in obese individuals: a nationwide cross-sectional analysis","volume":"11","author":"Liu","year":"2024","journal-title":"Front. Cardiovasc. Med."},{"issue":"10","key":"10.1016\/j.jtemb.2026.127867_bib18","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2024.e31524","article-title":"Association between systemic inflammatory markers and chronic obstructive pulmonary disease: A population-based study","volume":"10","author":"Du","year":"2024","journal-title":"Heliyon"},{"key":"10.1016\/j.jtemb.2026.127867_bib19","doi-asserted-by":"crossref","DOI":"10.3389\/fendo.2023.1285509","article-title":"Association between neutrophil-to-lymphocyte ratio and diabetic kidney disease in type 2 diabetes mellitus patients: a cross-sectional study","volume":"14","author":"Li","year":"2024","journal-title":"Front. Endocrinol."},{"issue":"1","key":"10.1016\/j.jtemb.2026.127867_bib20","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1186\/s12944-024-02240-8","article-title":"Association between obesity and systemic immune inflammation index, systemic inflammation response index among US adults: A population-based analysis","volume":"23","author":"Zhou","year":"2024","journal-title":"Lipids Health Dis."},{"issue":"3","key":"10.1016\/j.jtemb.2026.127867_bib21","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1016\/j.ajcnut.2022.11.022","article-title":"Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods","volume":"117","author":"Hu","year":"2023","journal-title":"Am. J. Clin. Nutr."},{"issue":"10","key":"10.1016\/j.jtemb.2026.127867_bib22","doi-asserted-by":"crossref","first-page":"5249","DOI":"10.1016\/j.clnu.2021.08.013","article-title":"Towards personalized nutritional treatment for malnutrition using machine learning-based screening tools","volume":"40","author":"Raphaeli","year":"2021","journal-title":"Clin. Nutr."},{"issue":"7","key":"10.1016\/j.jtemb.2026.127867_bib23","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.3390\/nu16071073","article-title":"Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review","volume":"16","author":"Theodore Armand","year":"2024","journal-title":"Nutrients"},{"issue":"6","key":"10.1016\/j.jtemb.2026.127867_bib24","doi-asserted-by":"crossref","first-page":"2573","DOI":"10.1093\/advances\/nmac103","article-title":"Machine Learning in Nutrition Research","volume":"13","author":"Kirk","year":"2022","journal-title":"Adv. Nutr."},{"key":"10.1016\/j.jtemb.2026.127867_bib25","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.107555","article-title":"The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review","author":"Ali","year":"2023","journal-title":"Comput. Biol. Med."},{"issue":"8","key":"10.1016\/j.jtemb.2026.127867_bib26","doi-asserted-by":"crossref","first-page":"3915","DOI":"10.1007\/s00394-022-02929-5","article-title":"Dietary variety relates to gut microbiota diversity and abundance in humans","volume":"61","author":"Huang","year":"2022","journal-title":"Eur. J. Nutr."},{"issue":"11","key":"10.1016\/j.jtemb.2026.127867_bib27","doi-asserted-by":"crossref","first-page":"e402","DOI":"10.1111\/j.1464-5491.2012.03757.x","article-title":"Physical activity level and body composition among adults with type 1 diabetes","volume":"29","author":"Brazeau","year":"2012","journal-title":"Diabet. Med."},{"key":"10.1016\/j.jtemb.2026.127867_bib28","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2023.1321584","article-title":"Prognostic value of lymphocyte-to-monocyte ratio in gastric cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis","volume":"14","author":"Mei","year":"2023","journal-title":"Front. Immunol."},{"key":"10.1016\/j.jtemb.2026.127867_bib29","doi-asserted-by":"crossref","first-page":"2689","DOI":"10.1007\/s10067-017-3815-2","article-title":"The association between the lymphocyte-monocyte ratio and disease activity in rheumatoid arthritis","volume":"36","author":"Du","year":"2017","journal-title":"Clin. Rheumatol."},{"issue":"2","key":"10.1016\/j.jtemb.2026.127867_bib30","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.jinf.2019.07.011","article-title":"A low lymphocyte: monocyte ratio provides a clue to diagnosing early dengue fever","volume":"80","author":"Soh","year":"2020","journal-title":"J. Infect."},{"issue":"8","key":"10.1016\/j.jtemb.2026.127867_bib31","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1007\/s10654-021-00752-6","article-title":"Systemic inflammation markers and cancer incidence in the UK Biobank","volume":"36","author":"N\u00f8st","year":"2021","journal-title":"Eur. J. Epidemiol."},{"issue":"34","key":"10.1016\/j.jtemb.2026.127867_bib32","doi-asserted-by":"crossref","first-page":"6261","DOI":"10.3748\/wjg.v23.i34.6261","article-title":"Systemic immune-inflammation index for predicting prognosis of colorectal cancer","volume":"23","author":"Chen","year":"2017","journal-title":"World J. Gastroenterol."},{"key":"10.1016\/j.jtemb.2026.127867_bib33","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2023.1163900","article-title":"The aggregate index of systemic inflammation (AISI): A novel predictor for hypertension","volume":"10","author":"Xiu","year":"2023","journal-title":"Front. Cardiovasc. Med."},{"issue":"5","key":"10.1016\/j.jtemb.2026.127867_bib34","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1007\/s11135-006-9018-6","article-title":"A Caution Regarding Rules of Thumb for Variance Inflation Factors","volume":"41","author":"O\u2019brien","year":"2007","journal-title":"Qual. & Quant."},{"key":"10.1016\/j.jtemb.2026.127867_bib35","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.artmed.2017.06.003","article-title":"Integration of data mining classification techniques and ensemble learning to identify risk factors and diagnose ovarian cancer recurrence","volume":"78","author":"Tseng","year":"2017","journal-title":"Artif. Intell. Med"},{"issue":"19","key":"10.1016\/j.jtemb.2026.127867_bib36","doi-asserted-by":"crossref","DOI":"10.3390\/jcm10194393","article-title":"Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms","volume":"10","author":"Chang","year":"2021","journal-title":"J. Clin. Med"},{"issue":"11","key":"10.1016\/j.jtemb.2026.127867_bib37","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1097\/JCMA.0000000000000999","article-title":"Comparison between linear regression and four different machine learning methods in selecting risk factors for osteoporosis in a Chinese female aged cohort","volume":"86","author":"Tzou","year":"2023","journal-title":"J. Chin. Med Assoc."},{"issue":"7","key":"10.1016\/j.jtemb.2026.127867_bib38","doi-asserted-by":"crossref","DOI":"10.2196\/22021","article-title":"Relative Performance of Machine Learning and Linear Regression in Predicting Quality of Life and Academic Performance of School Children in Norway: Data Analysis of a Quasi-Experimental Study","volume":"23","author":"Froud","year":"2021","journal-title":"J. Med Internet Res"},{"issue":"15","key":"10.1016\/j.jtemb.2026.127867_bib39","article-title":"PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTM","volume":"13","author":"Mahardika","year":"2023","journal-title":"Diagn. (Basel)"},{"issue":"1","key":"10.1016\/j.jtemb.2026.127867_bib40","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1186\/s12911-020-1100-9","article-title":"The statistical importance of P-POSSUM scores for predicting mortality after emergency laparotomy in geriatric patients","volume":"20","author":"Cao","year":"2020","journal-title":"BMC Med Inf. Decis. Mak."},{"issue":"6","key":"10.1016\/j.jtemb.2026.127867_bib41","doi-asserted-by":"crossref","first-page":"6067","DOI":"10.3758\/s13428-023-02335-7","article-title":"SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods","volume":"56","author":"Sylvester","year":"2024","journal-title":"Behav. Res Methods"},{"key":"10.1016\/j.jtemb.2026.127867_bib42","article-title":"Creating machine learning models that interpretably link systemic inflammatory index, sex steroid hormones, and dietary antioxidants to identify gout using the SHAP (SHapley Additive exPlanations) method","volume":"15","author":"Cao","year":"2024","journal-title":"Front Immunol."},{"key":"10.1016\/j.jtemb.2026.127867_bib43","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2023.1305588","article-title":"A cross-sectional analysis of zinc and copper levels and their relationship to cardiovascular disease risk markers in Qatar biobank participants","volume":"10","author":"Kerkadi","year":"2024","journal-title":"Front. Cardiovasc. Med."},{"issue":"1","key":"10.1016\/j.jtemb.2026.127867_bib44","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1177\/10998004241268287","article-title":"Plant-Based Diets and Cardiovascular Disease in Older Adults: An Integrative Literature Review","volume":"27","author":"VanCleef","year":"2025","journal-title":"Biol. Res. Nurs."},{"issue":"7960","key":"10.1016\/j.jtemb.2026.127867_bib45","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1038\/s41586-023-06017-4","article-title":"A druggable copper-signalling pathway that drives inflammation","volume":"617","author":"Solier","year":"2023","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.jtemb.2026.127867_bib46","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1186\/s12889-025-22178-5","article-title":"The impact of dietary copper intake on cardiovascular morbidity and mortality among hypertensive patients: a longitudinal analysis from NHANES (2001\u20132018)","volume":"25","author":"Xu","year":"2025","journal-title":"BMC Public Health"},{"key":"10.1016\/j.jtemb.2026.127867_bib47","doi-asserted-by":"crossref","DOI":"10.1016\/j.jtemb.2021.126857","article-title":"Effects of zinc supplementation on inflammatory biomarkers and oxidative stress in adults: A systematic review and meta-analysis of randomized controlled trials","volume":"68","author":"Mohammadi","year":"2021","journal-title":"J. Trace Elem. Med. Biol."},{"key":"10.1016\/j.jtemb.2026.127867_bib48","doi-asserted-by":"crossref","DOI":"10.3389\/fonc.2022.1019153","article-title":"Relationship between copper and immunity: the potential role of copper in tumor immunity","volume":"12","author":"Cheng","year":"2022","journal-title":"Front. Oncol."},{"issue":"2","key":"10.1016\/j.jtemb.2026.127867_bib49","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1093\/jn\/138.2.305","article-title":"Associations of dietary and serum copper with inflammation, oxidative stress, and metabolic variables in adults","volume":"138","author":"Bo","year":"2008","journal-title":"J. Nutr."},{"issue":"1","key":"10.1016\/j.jtemb.2026.127867_bib50","doi-asserted-by":"crossref","first-page":"2525","DOI":"10.1186\/s12889-023-17441-6","article-title":"Associations of dietary copper intake with cardiovascular disease and mortality: findings from the Chinese Perspective Urban and Rural Epidemiology (PURE-China) Study","volume":"23","author":"Li","year":"2023","journal-title":"BMC Public Health"},{"issue":"3","key":"10.1016\/j.jtemb.2026.127867_bib51","doi-asserted-by":"crossref","DOI":"10.3390\/nu14030409","article-title":"Dietary Copper Intake and Risk of Stroke in Adults: A Case-Control Study Based on National Health and Nutrition Examination Survey 2013-2018","volume":"14","author":"Yang","year":"2022","journal-title":"Nutrients"},{"key":"10.1016\/j.jtemb.2026.127867_bib52","article-title":"Associations between dietary copper intake, general obesity and abdominal obesity risk: A nationwide cohort study in China","volume":"9","author":"Wang","year":"2022","journal-title":"Front Nutr."},{"issue":"2","key":"10.1016\/j.jtemb.2026.127867_bib53","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1159\/000090495","article-title":"Immune-enhancing role of vitamin C and zinc and effect on clinical conditions","volume":"50","author":"Wintergerst","year":"2006","journal-title":"Ann. Nutr. Metab."},{"key":"10.1016\/j.jtemb.2026.127867_bib54","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.freeradbiomed.2021.12.256","article-title":"Impact of zinc on DNA integrity and age-related inflammation","volume":"178","author":"Ho","year":"2022","journal-title":"Free Radic. Biol. Med."},{"issue":"6","key":"10.1016\/j.jtemb.2026.127867_bib55","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1093\/ajcn\/nqy052","article-title":"A comparison of methods for adjusting biomarkers of iron, zinc, and selenium status for the effect of inflammation in an older population: a case for interleukin 6","volume":"107","author":"MacDonell","year":"2018","journal-title":"Am. J. Clin. Nutr."},{"issue":"6","key":"10.1016\/j.jtemb.2026.127867_bib56","doi-asserted-by":"crossref","first-page":"624","DOI":"10.3390\/nu9060624","article-title":"Zinc in infection and inflammation","volume":"9","author":"Gammoh","year":"2017","journal-title":"Nutrients"},{"issue":"4","key":"10.1016\/j.jtemb.2026.127867_bib57","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2023.e15042","article-title":"The relation between dietary zinc and immune status in saudi adults","volume":"9","author":"Alfawaz","year":"2023","journal-title":"Heliyon"},{"issue":"1","key":"10.1016\/j.jtemb.2026.127867_bib58","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1186\/s12967-025-06259-y","article-title":"Short-term oral zinc supplementation enhances Natural Killer cell functionality and decreases circulating Innate Lymphoid Cell counts and frequencies in healthy young adults","volume":"23","author":"Amling","year":"2025","journal-title":"J. Transl. Med."}],"container-title":["Journal of Trace Elements in Medicine and Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0946672X26000532?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0946672X26000532?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T21:30:42Z","timestamp":1787866242000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0946672X26000532"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":58,"alternative-id":["S0946672X26000532"],"URL":"https:\/\/doi.org\/10.1016\/j.jtemb.2026.127867","relation":{},"ISSN":["0946-672X"],"issn-type":[{"value":"0946-672X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Association of dietary intake of copper and zinc with systemic inflammation: A cross-sectional study integrating machine learning","name":"articletitle","label":"Article Title"},{"value":"Journal of Trace Elements in Medicine and Biology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jtemb.2026.127867","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier GmbH. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"127867"}}