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Identification of Chemokines-Related miRNAs as Potential Biomarkers in Psoriasis Based on Integrated Bioinformatics
Haojun Zhuang1, Xiaoming Wang1, Meiliang Guo1
1Department of Dermatology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200030, China.
Background:
Psoriasis is an immune-mediated skin disorder caused by the proliferation of keratinocytes. Although psoriasis is generally diagnosed based on clinical manifestations, sensitive biomarkers are needed to help diagnose psoriasis early with atypical presentations. MicroRNAs play a functional role in the development of psoriasis, and they are stable and suitable as biomarkers in psoriasis.
Material And Methods:
The GSE50790 and GSE53552 datasets from the Gene Expression Omnibus (GEO) database were used to identify Differentially Expressed Genes (DEGs) between the control group and the lesional group. DEGs were processed for enrichment analysis to explore the functions, and a Protein-Protein Interaction (PPI) network was constructed to obtain gene clusters. The signalling pathway associated with gene cluster 1 was processed to further identify related genes. Hub genes were obtained through the intersection of cluster 1 and the related genes. Hub genes were used to predict the miRNAs through a gene-miRNA interaction network. The relative expression of miRNAs was measured by qRT-PCR to identify the suitability of miRNAs as biomarkers.
Results:
Bioinformatics analysis revealed that the chemokine signalling pathway is involved in the development of psoriasis. Five related miRNAs were mined from the datasets, and qRT-PCR showed that hsa-miR-612 (p=0.0015), hsa-miR-3194-5p (p=0.0078) and hsa-miR-4316 (p<0.0001) may be potential biomarkers in psoriasis.
Insights
MicroRNAs show promise as sensitive biomarkers for early psoriasis diagnosis. Specific microRNAs, including hsa-miR-612, hsa-miR-3194-5p, and hsa-miR-4316, were identified as potential diagnostic indicators.
Area of Science:
- Dermatology
- Genomics
- Biomarker Discovery
Background:
- Psoriasis is an immune-mediated skin disorder characterized by keratinocyte proliferation.
- Current psoriasis diagnosis relies on clinical presentation, necessitating sensitive biomarkers for early detection, especially in atypical cases.
- MicroRNAs are implicated in psoriasis development and are suitable candidates for stable biomarkers.
Purpose of the Study:
- To identify potential microRNA biomarkers for early psoriasis diagnosis using bioinformatics and experimental validation.
- To explore the molecular pathways involved in psoriasis pathogenesis.
Main Methods:
- Utilized Gene Expression Omnibus datasets (GSE50790, GSE53552) to identify Differentially Expressed Genes (DEGs).
- Performed enrichment analysis and constructed a Protein-Protein Interaction (PPI) network to identify key genes and pathways.
- Predicted microRNAs targeting hub genes via a gene-miRNA interaction network and validated expression using qRT-PCR.
Main Results:
- The chemokine signaling pathway was identified as crucial in psoriasis development.
- Five microRNAs were identified as potentially related to psoriasis.
- qRT-PCR confirmed hsa-miR-612, hsa-miR-3194-5p, and hsa-miR-4316 as potential biomarkers with significant p-values.
Conclusions:
- Hsa-miR-612, hsa-miR-3194-5p, and hsa-miR-4316 demonstrate potential as sensitive biomarkers for psoriasis.
- These microRNAs could aid in the early diagnosis of psoriasis, particularly in cases with atypical presentations.
- The findings support the role of microRNAs in psoriasis pathogenesis and their utility in diagnostics.
