Unknown

Dataset Information

0

Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.


ABSTRACT: Background: Psoriasis is a chronic and immune-mediated skin disorder that currently has no cure. Pyroptosis has been proved to be involved in the pathogenesis and progression of psoriasis. However, the role pyroptosis plays in psoriasis remains elusive. Methods: RNA-sequencing data of psoriasis patients were obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed pyroptosis-related genes (PRGs) between psoriasis patients and normal individuals were obtained. A principal component analysis (PCA) was conducted to determine whether PRGs could be used to distinguish the samples. PRG and immune cell correlation was also investigated. Subsequently, a novel diagnostic model comprising PRGs for psoriasis was constructed using a random forest algorithm (ntree = 400). A receiver operating characteristic (ROC) analysis was used to evaluate the classification performance through both internal and external validation. Consensus clustering analysis was used to investigate whether there was a difference in biological functions within PRG-based subtypes. Finally, the expression of the kernel PRGs were validated in vivo by qRT-PCR. Results: We identified a total of 39 PRGs, which could distinguish psoriasis samples from normal samples. The process of T cell CD4 memory activated and mast cells resting were correlated with PRGs. Ten PRGs, IL-1β, AIM2, CASP5, DHX9, CASP4, CYCS, CASP1, GZMB, CHMP2B, and CASP8, were subsequently screened using a random forest diagnostic model. ROC analysis revealed that our model has good diagnostic performance in both internal validation (area under the curve [AUC] = 0.930 [95% CI 0.877-0.984]) and external validation (mean AUC = 0.852). PRG subtypes indicated differences in metabolic processes and the MAPK signaling pathway. Finally, the qRT-PCR results demonstrated the apparent dysregulation of PRGs in psoriasis, especially AIM2 and GZMB. Conclusion: Pyroptosis may play a crucial role in psoriasis and could provide new insights into the diagnosis and underlying mechanisms of psoriasis.

SUBMITTER: Song JK 

PROVIDER: S-EPMC9468882 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

altmetric image

Publications

Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.

Song Jian-Kun JK   Zhang Ying Y   Fei Xiao-Ya XY   Chen Yi-Ran YR   Luo Ying Y   Jiang Jing-Si JS   Ru Yi Y   Xiang Yan-Wei YW   Li Bin B   Luo Yue Y   Kuai Le L  

Frontiers in genetics 20220830


<b>Background:</b> Psoriasis is a chronic and immune-mediated skin disorder that currently has no cure. Pyroptosis has been proved to be involved in the pathogenesis and progression of psoriasis. However, the role pyroptosis plays in psoriasis remains elusive. <b>Methods:</b> RNA-sequencing data of psoriasis patients were obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed pyroptosis-related genes (PRGs) between psoriasis patients and normal individuals were ob  ...[more]

Similar Datasets

| S-EPMC3218317 | biostudies-literature
| S-EPMC1363357 | biostudies-literature
2012-05-10 | GSE37858 | GEO
| S-EPMC3897925 | biostudies-literature
2012-05-09 | E-GEOD-37858 | biostudies-arrayexpress
| S-EPMC7508310 | biostudies-literature
2022-05-16 | GSE189510 | GEO
| S-EPMC10618482 | biostudies-literature
| S-EPMC11192156 | biostudies-literature
| S-EPMC7711527 | biostudies-literature