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. 2024 Dec;41(6):577-583.
doi: 10.5114/ada.2024.145618. Epub 2024 Dec 18.

Screening of key genes related to autophagy in psoriasis based on gene expression profiling

Suo Mo  1 , Chunyan Cao  2 , Xiaoyue Dai  1 , Zhiwen Ding  1 , Yajuan Zuo  1 , Chuchu Song  1 , Xianfeng Cheng  1
Affiliations

Screening of key genes related to autophagy in psoriasis based on gene expression profiling

Suo Mo et al. Postepy Dermatol Alergol. 2024 Dec.

Abstract

Introduction: Autophagy is necessary for the progression of psoriasis.

Aim: This study aimed to recognize possible autophagy-related genes in psoriasis via bioinformatics study to present a better standard for the clinical treatment and management of psoriasis.

Material and methods: The GEO dataset was utilized to derive the mRNA expression profile of the database GSE78097. R software was utilized to find autophagy-associated genes that may be expressed in psoriasis. Then, a protein-protein interaction (PPI) correlation study of the differentially expressed autophagy-associated genes was carried out, and GO and KEGG enrichment analysis was used to investigate any potential signalling pathways linked.

Results: We identified a total of 156 autophagy-related genes in 27 psoriasis and 6 healthy skin tissue samples. The PPI network diagram findings demonstrate interactions among these autophagy-associated genes. Autophagy, protein processing, apoptosis, and mitochondria processes may be crucial in the development and occurrence of psoriasis suggested by KEGG and GO enrichment analysis.

Conclusions: Utilizing bioinformatics methods to recognize differentially expressed autophagy-related genes has further enhanced our understanding of psoriasis and provided new thinking for the study of the pathogenesis and therapeutic targets of psoriasis.

Keywords: autophagy; bioinformatics analysis; key genes related to autophagy; psoriasis; signalling pathway.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Autophagy-associated genes differentially expressed in healthy and psoriasis specimens. A – PCA of GSE78097; B – Volcano plot of 222 differentially expressed autophagy-associated genes. Blue spots display remarkably down-regulated genes, and red spots display remarkably up-regulated genes; C – Heatmap of 156 differentially expressed autophagyassociated genes in psoriasis and normal specimens
Figure 2
Figure 2
Boxplot of the top 40 differentially expressed autophagy-associated genes in healthy and psoriasis specimens
Figure 3
Figure 3
Protein-protein interactions (PPIs) of 40 differentially expressed autophagy-associated genes. A – PPI network diagram between 40 differentially expressed autophagy-associated genes; B – interaction numbers for all differentially expressed autophagy-associated genes
Figure 4
Figure 4
Spearman correlation study of 40 differentially expressed autophagy-associated genes
Figure 5
Figure 5
Gene ontology (GO) enrichment study of 40 differentially expressed autophagy-related genes. A, B – Bubble plots for gene ontology analysis
Figure 6
Figure 6
KEGG study results of 40 differentially expressed autophagy-related genes
See this image and copyright information in PMC

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