Lifestyle‐associated serum metabolites profiling in relation to risk of late‐onset psoriasis
Multiple lifestyle-related serum metabolites are associated with the incidence of late-onset psoriasis, and their integration with traditional clinical features and genetic susceptibility shows promise in enhancing the predictive accuracy of late-onset psoriasis using a machine learning-based model.
Authors
- Qinyu Chang
- Xin Zhou (ORCID: https://orcid.org/0000-0002-7184-1101)
- Guanxiong Zhang (ORCID: https://orcid.org/0000-0003-4819-6543)
- Yan Zhang (ORCID: https://orcid.org/0000-0003-0246-2965)
- Guowei Zhou (ORCID: https://orcid.org/0000-0001-8490-4661)
- Yiqun Zhu
- Hong Liu (ORCID: https://orcid.org/0000-0001-9976-2985)
- Yutong Wang (ORCID: https://orcid.org/0000-0001-8943-1832)
- Zhao‐Jun Pan (ORCID: https://orcid.org/0009-0001-3138-5164)
- Xiang Chen
Institutions
- Central South University (CN)
- Hunan Provincial Center for Disease Control and Prevention (CN)
- National Clinical Research (US)
- Education Department of Hunan Province (CN)
- Xiangya Hospital Central South University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Journal of the European Academy of Dermatology and Venereology
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1111/jdv.70045
- Citations
- 2
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.61