ArticlePsoriasis (Auckland, N.Z.)2025
Integrated Single-Cell RNA Sequencing and Proteome-Wide Mendelian Randomization Identifies Therapeutic Targets for Psoriasis and Associated Complications.
Article in Psoriasis (Auckland, N.Z.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Integrative Multi-Omics Mendelian Randomization Identifies BLMH as a Keratinocyte-Enriched Protective Candidate Gene and Potential Therapeutic Target in Psoriasis.Journal of inflammation research · 2026Article
- Association and Mechanistic Insights Linking Bisphenol A to Psoriasis: Integrative Analysis of Bulk Transcriptomics, Network Toxicology, Mendelian Randomization and Single‑cell RNA Sequencing.Clinical, cosmetic and investigational dermatology · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: To identify new targets for protein-based treatments in psoriasis and evaluate the possible negative impacts of these druggable proteins. Methods: We carried out an extensive analysis of the entire set of proteins in the blood (proteome-wide) to determine if there are causal links between certain blood proteins and the likelihood of developing psoriasis. The proteins were selected from the UK Biobank Pharma Proteomics Project (UKBPPP) database, which includes genetic data for 2,940 different blood proteins. We obtained the cis-expression quantitative trait locus (cis-eQTL) of druggable genes from eQTLGen Consortium as exposure and the genome-wide association study (GWAS) of psoriasis. Results: Our research discovered a strong genetic link between plasma APOF, ATP6V1G2, IFNLR1, CRELD1, PRSS8, and TNF proteins and a higher chance of having psoriasis. These proteins share genetic variations associated with psoriasis (PPH3+PPH4>0.8). The ROC curves derived from these protein quantity trait loci (pQTLs) demonstrate that they can distinguish between individuals with psoriasis and those without. The druggable gene analysis showed that simvastatin is related to TNF based on the Drug SIGnatures DataBase webtool. Conclusion: Our study has explored the causal relationships between six blood proteins and psoriasis, offering a detailed insight into potential therapeutic targets. Among them, simvastatin might have an effect on psoriasis via TNF.
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Registered trials
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