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

Suo Mo; Chunyan Cao; Xiaoyue Dai; Zhiwen Ding; Yajuan Zuo; Chuchu Song; Xianfeng Cheng

doi:10.5114/ada.2024.145618

eISSN: 2299-0046
ISSN: 1642-395X

Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii

Current issue Archive Manuscripts accepted About the journal Editorial board Reviewers Abstracting and indexing Subscription Contact Instructions for authors Publication charge Ethical standards and procedures

Editorial System

Submit your Manuscript

Editorial Policies

Sarajevo Declaration on Integrity and Visibility of Scholarly Publications

6/2024
vol. 41

Send email

Copy url:

abstract:

Original paper

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

Department of Clinical Laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
Equipment Department, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China

Adv Dermatol Allergol 2024; XLI (6): 577-583

DOI: https://doi.org/10.5114/ada.2024.145618

Online publish date: 2024/12/24

View full text Get citation

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:

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

psoriasis, autophagy, key genes related to autophagy, signalling pathway, bioinformatics analysis

Suo Mo

¹

,

Chunyan Cao

²

,

Xiaoyue Dai

¹

,

Zhiwen Ding

¹

,

Yajuan Zuo

¹

,

Chuchu Song

¹

,

Xianfeng Cheng

¹