| Title: | Population-Based Multi-Omics and Cohort Study Identifying Predictive Biomarkers and Therapeutic Targets for Psoriatic Disease |
| Journal: | Advanced Science |
| Published: | 2 Dec 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41331235/ |
| DOI: | https://doi.org/10.1002/advs.202514130 |
Publication 16761
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Psoriatic disease (PsD) is a chronic inflammatory disease, with significant challenges in early risk stratification and drug development. Integration of proteomic and genomic data provides an unprecedented opportunity to identify predictive biomarkers and therapeutic targets for PsD. Here, through systemic genetic analyses, expression validation, and prospective cohort study, CDSN and PRSS8 were identified as candidate biomarkers and potential therapeutic targets for PsD. Individuals with higher levels of CDSN and PRSS8 were nearly three times more likely to develop PsD compared to the general population. It develops prediction models in adults without PsD at baseline from the UK Biobank. Combining CDSN and PRSS8 with demographics produced desirable predictions for PsD (area under the curve (AUC) = 0.80) and exhibited high specificity. Moreover, PRSS8 and CDSN were both predominantly localized in keratinocytes, and in vivo gene silencing of these proteins significantly reduced PsD-like skin lesions and systemic inflammatory markers. The findings strongly suggested that CDSN and PRSS8 are promising biomarkers for PsD onset and progression, providing a 12-year risk assessment window and potential as novel therapeutic targets. These results had important implications for screening high-risk populations and facilitating early intervention for PsD.</p>
14 Authors
- Tianxing Wu
- Jialiang Luo
- Haoyuan Qiu
- Weijie Shao
- Yueyang Lu
- Meixuan Luo
- Zhaofeng Lin
- Yan Zhang
- Libo Zhang
- Hong Wang
- Jia Zhou
- Guangfeng Ruan
- Peihua Cao
- Daming Zuo
2 Applications
| Application ID | Title |
|---|---|
| 67654 | Genetic risk factors, environmental factors, and the gene-environment interactions in osteoarthritis |
| 131591 | Early identification and classification of the metabolic-inflammatory and central sensitized phenotypes of osteoarthritis using imaging, body compositional, omics, and mitochondrial DNA biomarkers |
Enabling scientific discoveries that improve human health