{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T14:16:33Z","timestamp":1784556993510,"version":"3.55.0"},"reference-count":0,"publisher":"Bioscientifica","issue":"9","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["ec.bioscientifica.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Chemerin is a novel inflammatory biomarker suggested to play a role in the development of metabolic disorders, providing new avenues for treatment and prevention. Little is known about the factors that predispose elevated chemerin concentrations. We therefore aimed to explore a range of lifestyle-associated, dietary, and metabolic factors as potential determinants of elevated chemerin concentrations in asymptomatic adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>We used cross-sectional data from a random subsample of 2433 participants (1494 women and 939 men) aged 42\u201358 years of the European Prospective Investigation into Cancer and Nutrition-Potsdam cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Random forest regression (RFR) was applied to explore the relative importance of 32 variables as statistical predictors of elevated chemerin concentrations overall and by sex. Multivariable-adjusted linear regression was applied to evaluate associations between selected predictors and chemerin concentrations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Results from RFR suggested BMI, waist circumference, C-reactive protein, fatty liver index, and estimated glomerular filtration rate as the strongest predictors of chemerin concentrations. Additional predictors included sleeping duration, alcohol, red and processed meat, fruits, sugar-sweetened beverages (SSB), vegetables, dairy, and refined grains. Collectively, these factors explained 32.9% variation of circulating chemerin. Multivariable-adjusted analyses revealed linear associations of elevated chemerin with metabolic parameters, obesity, longer sleep, higher intakes of red meat and SSB, and lower intakes of dairy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings come in support of the role of chemerin as a biomarker characterizing inflammatory and metabolic phenotypes in asymptomatic adults. Modifiable dietary and lifestyle-associated determinants of elevated chemerin concentrations require further evaluation in a prospective study setting.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1530\/ec-21-0273","type":"journal-article","created":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T11:55:28Z","timestamp":1629892528000},"page":"1200-1211","update-policy":"https:\/\/doi.org\/10.1530\/crossmarkpolicy-10","source":"Crossref","is-referenced-by-count":10,"title":["Determinants of elevated chemerin as a novel biomarker of immunometabolism: data from a large population-based cohort"],"prefix":"10.1530","volume":"10","author":[{"given":"Liselot","family":"Koelman","sequence":"first","affiliation":[{"name":"1Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany"},{"name":"2Institute of Nutritional Science, University of Potsdam, Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robin","family":"Reichmann","sequence":"additional","affiliation":[{"name":"2Institute of Nutritional Science, University of Potsdam, Potsdam, Germany"},{"name":"3Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology \u2013 BIPS, Bremen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claudia","family":"B\u00f6rnhorst","sequence":"additional","affiliation":[{"name":"4Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology \u2013 BIPS, Bremen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias B","family":"Schulze","sequence":"additional","affiliation":[{"name":"1Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany"},{"name":"2Institute of Nutritional Science, University of Potsdam, Potsdam, Germany"},{"name":"5German Center for Diabetes Research (DZD), Neuherberg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cornelia","family":"Weikert","sequence":"additional","affiliation":[{"name":"6Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany"},{"name":"7Institute for Social Medicine, Epidemiology and Health Economics, Charit\u00e9 University Medical Center, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronald","family":"Biemann","sequence":"additional","affiliation":[{"name":"8Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Berend","family":"Isermann","sequence":"additional","affiliation":[{"name":"8Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"Fritsche","sequence":"additional","affiliation":[{"name":"9Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, Department of Internal Medicine, University of T\u00fcbingen, T\u00fcbingen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krasimira","family":"Aleksandrova","sequence":"additional","affiliation":[{"name":"3Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology \u2013 BIPS, Bremen, Germany"},{"name":"10Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"416","container-title":["Endocrine Connections"],"original-title":[],"link":[{"URL":"https:\/\/ec.bioscientifica.com\/view\/journals\/ec\/10\/9\/EC-21-0273.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ec.bioscientifica.com\/downloadpdf\/journals\/ec\/10\/9\/EC-21-0273.xml","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T13:44:42Z","timestamp":1784555082000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.bioscientifica.com\/ec\/article\/10\/9\/1200-1211\/863"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,1]]},"references-count":0,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1530\/ec-21-0273","relation":{},"ISSN":["2049-3614"],"issn-type":[{"value":"2049-3614","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,1]]}}}