bioRxivSystems BiologyPreprint
Interactions of host defense and hyper-keratinization in psoriasis
Jingwen DengiD, Emmerik F A LeijteniD, Michel A.M. Olde NordkampiD, Sarita A. Y. Hartgring, Weiyang TaoiD, Juliëtte N. PouwiD, Deepak BalakiD, Rianne RijkeniD, Runyue HuangiD, Timothy R. D. J. RadstakeiD, Chuanjian LuiD, Aridaman PanditiD
Abstract
ObjectivesTo understand the crosstalk between the host and microbiota in psoriatic skin, using a systems biology approach based on transcriptomics and microbiome profiling. MethodsWe collected the skin tissue biopsies and swabs in both lesion and non-lesion skin of 13 patients with psoriasis (PsO), 15 patients with psoriatic arthritis (PsA), and healthy skin from 12 patients with ankylosing spondylitis (AS). We performed transcriptome sequencing and metagenomics profiling on the local skin sites to study the similarities and differences in the molecular profiles between the three conditions, and the associations between the host defense and microbiota dynamic. ResultsWe found that lesion and non-lesional samples were remarkably different in terms of their transcriptome profiles. Functional annotation of differentially expressed genes (DEGs) showed a major enrichment in neutrophil activation. By using coexpression gene networks, we identified a gene module that was associated with local psoriasis severity at the site of biopsy. From this module, we extracted a "core" set of genes that were functionally involved in neutrophil activation, epidermal cell differentiation and response to bacteria. Skin microbiome analysis revealed that the abundance of Enhydrobacter, Micrococcus and Leptotrichia were significantly correlated with the "core network" of genes. ConclusionsWe identified a core network that regulates inflammation and hyper-keratinization in psoriatic skin, and is associated with local disease severity and microbiome composition.
- organism: human
- assay: bulk RNA-seq
- assay: metagenomics
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- approach: contrastive learning
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis
Antonio Federico, Alisa Pavel, … Dario Greco·Human GenomicsPeer-reviewed·Nov 27, 2022
- A neutrophil-driven inflammatory signature characterizes the blood cell transcriptome fingerprints of Psoriasis and Kawasaki Disease
A. Rawat, D. Rinchai, … D. Chaussabel·bioRxiv·Feb 24, 2020
- A Multilayer Human Skin Diseasome Links Molecular Architecture, Clinical Co-occurrence, and Drug-Reversal Signatures
Rashid Saadman Karim, Debajyoti Ghosh·bioRxiv·Oct 9, 2026
- Skin-derived G-CSF activates pathological granulopoiesis upon psoriasis
Tomson Kosasih, Tatsuya Morishima, … Hitoshi Takizawa·EMBO Molecular MedicinePeer-reviewed·Jun 16, 2026
- Platelet-neutrophil aggregates promote skin pathology in psoriasis
F. Herster, Z. Bittner, … A. N. R. Weber·bioRxiv·Jan 28, 2019
- Systems Level Analysis of Gene, Pathway and Phytochemical Associations with Psoriasis
Sonalika Ray, Ojasvi Dutta, … Rishemjit Kaur·bioRxiv·Jun 1, 2026