{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T17:17:38Z","timestamp":1787505458163,"version":"build-2736575974"},"reference-count":30,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2023JJ30930"],"award-info":[{"award-number":["2023JJ30930"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acad Dermatol Venereol"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Although healthy lifestyle behaviours are associated with a lower risk of psoriasis, the underlying metabolic mechanisms remain unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To investigate lifestyle\u2010related serum metabolites associated with late\u2010onset psoriasis risk and evaluate their predictive potential.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analysed 190,692 participants (aged 38\u201373) from UK Biobank with complete data on lifestyle and serum metabolites. Healthy lifestyle was assessed based on diet, exercise, smoking and BMI. The association between lifestyle\u2010related metabolites and late\u2010onset psoriasis risk was identified by a sequential analytic strategy that combined the Cox regression and elastic net regression model. A machine learning model was developed to predict psoriasis risk using clinical features, polygenic risk scores (PRS) and critical metabolites.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>During a median of 14.6\u2009years of follow\u2010up, 2114 incident late\u2010onset psoriasis cases were documented among 186,812 participants. Ideal lifestyle factors were significantly associated with reduced disease burden, with BMI showing the highest population attributable fractions (PAF) of 24.1%. We identified 11 of 134 lifestyle\u2010related metabolites that were significantly associated with the risk of late\u2010onset psoriasis. These predominantly mapped to lipid and glucose metabolism pathways, comprising seven lipoprotein subclasses, two ketones, unsaturation degree and phenylalanine. The addition of these metabolites into clinical characteristics and PRS could significantly improve the performance of predicting the risk of late\u2010onset psoriasis (AUC 0.860, 95% CI 0.857\u20130.863).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Multiple lifestyle\u2010related serum metabolites are associated with the incidence of late\u2010onset psoriasis, and their integration with traditional clinical features and genetic susceptibility shows promise in enhancing the predictive accuracy of late\u2010onset psoriasis using a machine learning\u2013based model.<\/jats:p>\n                  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