Interactions of host defense and hyper-keratinization in psoriasis
Deng, J.; Leijten, E.; Nordkamp, M. O.; Sarita, H.; Tao, W.; Pouw, J.; Balak, D.; Rijken, R.; Huang, R.; Radstake, T.; Lu, C.; Pandit, A.
Show 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.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- PathoEye: a deep learning framework for the whole-slide image analysis of skin tissue 92%
- Estimating the effect of tissue- and blood-derived cell reference matrices on deconvolving bulk transcriptomic datasets 90%
- Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes 90%
Similar papers in this journal
- RNA sequencing of a large number of psoriatic patients identifies 131 novel miRNAs and 11 miRNAs associated with disease severity 96%
- Comparative Transcriptome Analysis of Acne vulgaris, Rosacea, and Hidradenitis Suppurativa Supports High Dose Dietary Zinc as a Therapeutic Agent 95%
- Characterization of Circular RNA transcriptomes in Psoriasis and Atopic Dermatitis Reveals Disease-specific expression profiles 93%
Similar papers in this journal
- The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis 95%
- Altered skin microbiome, inflammation, and JAK/STAT signaling in Southeast Asian ichthyosis patients 93%
- Total RNA sequencing reveals gene expression and microbial alterations shared by oral pre-malignant lesions and cancer. 89%
Similar papers in this journal
- Integrative systems biology framework discovers common gene regulatory signatures in multiple mechanistically distinct inflammatory skin diseases 95%
- Metacell-based differential expression analysis identifies cell type specific temporal gene response programs in COVID-19 patient PBMCs 89%
- Executable models of pathways built using single-cell RNA seq data reveal immune signaling dysregulations in people living with HIV and atherosclerosis 88%
Similar papers in this journal
- Stiffness-dependent LOX regulation via HIF-1 drives extracellular matrix modifications in psoriasis 93%
- Single-cell RNA-seq reveals lineage-specific regulatory changes of fibroblasts and vascular endothelial cells in keloid 93%
- UBE2N is essential for maintenance of skin homeostasis and suppression of inflammation 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.