ArticlePsoriasis (Auckland, N.Z.)2026
Core Differentially Expressed Genes in Psoriasis Lesions: An Integrated Analysis of Four GEO Datasets.
Article in Psoriasis (Auckland, N.Z.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Psoriasis is a chronic inflammatory skin disease characterized by abnormal keratinocyte proliferation and differentiation, affecting approximately 2% of the global population. Patients and Methods: This study explored the role of specific molecular biomarkers in the pathogenesis of psoriasis through integrative bioinformatics analysis, aiming to improve diagnostic precision and uncover therapeutic targets. Four independent transcriptomic datasets (GSE34248, GSE41662, GSE50790, and GSE6710) were analyzed using bioinformatics tools to identify consistently dysregulated genes in psoriatic lesions. Subsequently, we constructed a protein-protein interaction (PPI) network using the STRING database and analyzed key gene modules and hub genes involved in disease pathways. Results: This integrative approach led to the identification of 32 genes consistently dysregulated across all four datasets. Pathway enrichment highlighted significant involvement in biological processes such as keratinization (p = 1.53 × 10 Conclusion: These findings underscore the relevance of these core genes and pathways in the molecular landscape of psoriasis and offer potential targets for future functional validation and therapeutic intervention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.